Scientometrics

Evidence-qualified author reviews & bibliometric findings · Updated October 30, 2026

Ron Milo — methodological numbers infrastructure

H-index 80, ~46k citations across 160 papers; BioNumbers, biomass datasets, and anthroponumbers make biology falsifiable at scale — but back-of-envelope papers trade precision for accessibility by design.

Jorge Hernández — name-collision noise

19 papers across ten-plus disjoint disciplines indicate a merged record of multiple same-named authors; only mandatory persistent-author-ID ingestion can fix the dilution of each true author's h-index.

Kiavash Hushmandi — retraction density and review mills

300+ papers in under a decade with multiple retractions — including a 403-citation retracted AMPK review still accumulating citations, showing retracted work can silently propagate unvetted claims.

Ulman Lindenberger — honest 'mixed' reporting

OpenAlex h-index 118 across 1,027 works; rare trait of reporting training-induced modularity evidence as 'mixed' across thresholds rather than cherry-picking, though small-N imaging studies and a selectively healthy cohort limit generalizability.

Sonny T. M. Lee — cross-database metric divergence

Citation profiles diverged >30-fold between databases for the same ORCID person (h-index 2 vs 21), so any single-database h-index would misjudge the career stage by years.

Tommy Tsan (Lam) — entity resolution vs h-index

An initial h-index of 1 was a fragmented duplicate record; the consolidated profile (h-index 54, ~38.7k citations, ggtree developer) shows automated disambiguation can erase a career's impact or hand it to a namesake.

Haitao Yang — homonym verdicts measure algorithms

The same name spans h-index 1 to 48 across six OpenAlex profiles, with half of one profile's lifetime citations in a single pandemic year — author-strength verdicts here are verdicts on disambiguation, not a person.

Michael J. Moore — cross-disciplinary versatility

Breadth from molecular mechanistic biology to field epidemiology with rigor (avg quality ~7.6/10); the trade-off is possible depth gaps in any single field.

Emad Behboudi — GBD consortium inflation

Citation metrics (~6.6k, h-index 15) are inflated roughly 10-fold by GBD mega-authorship, decoupling apparent impact from independent contribution — a systemic bibliometric artifact.

Marco Sereno — COVID citation concentration

Citation decay from 737 (2022) to 4 (2025) with near-total COVID concentration predicts an inflection; the durable core is the lung adenocarcinoma spatial-omics line, not the higher-cited COVID work.

Han Yan — fabricated 'polymath' profiles

Disambiguation failure merged an h-index-3 mathematician with an h-index-17 bioinformatician plus unrelated homonyms — identity errors corrupt downstream author reviews.

Jessica Stacey — h-index and career transitions

~94% of citations come from one collaborative project while a 2–5 year citation lag hides an active cheminformatics pivot — and six-way homonym fragmentation further corrupts any single-profile metric.

Chaochao Li — common-name bias

At least seven OpenAlex profiles share the name, so career-level metrics likely undercount one real author while overcounting another — a systemic bias for common Chinese names.

Yoshitaka Kobayashi — merged Japanese-name profiles

An impossible 86-year publication span (1937–2023) across incompatible fields proves the profile merges multiple researchers, rendering its h-index meaningless for any individual.

Oded Kleifeld — the 'methodologist multiplier'

One invented technique (TAILS N-terminomics, ~546 citations) outcites a decade of application papers; credit still disperses across senior PIs, and h-index 37 carries database-disambiguation uncertainty.

Benjamin Keenan — power, not methods, limits evidence

Weak publications share one root cause — undersized samples (n=5–9) rather than flawed design; identity could not be confirmed because OpenAlex retrieval failed, so metrics remain unverifiable.

Simon Grosse-Holz — single-year citation footprint

85% of citations stem from one year (2022), making the footprint nearly binary: landmark-collaboration-driven or near-zero; first-vs-last author ratio over five years is the sharpest independence test.

Nathaniel Burman — authorship-position trajectory

Moving from middle author (2020) to first author on Nature (2024) predicts future independence better than raw counts — metrics diverged 20 vs 152 citations across databases for the same early-career author.

Chunmei Zhao — front-loaded citation half-life

~90% of lifetime citations accrue from pre-2010 work; single era-defining methodology papers can anchor an entire legacy metric, complicating naive readings of high h-indices as sustained productivity.

Jiaqi Pan — scale vs cleverness in rigor

Flagship large-n, data-deposited omics papers are reliable; mechanistic small-n papers (n=5 vs 5, off-target-prone inhibitors) are vulnerable — reliability rises sharply when sample size carries the inference.

Lahcen Jaafar — enabling methods vs paradigm shifts

Influence rests on enabling methods and team science (h-index 14, 534 citations, 24 years); a 2023 spike of 12 zero-citation papers warrants scrutiny but is not itself a red flag.

Senka Blažetić — review-driven citation surge

A ~65-citation surge in 2024 is review-driven, not discovery-driven — a pattern that inflates h-index without signaling experimental leadership.

Dimitra Sokolova — hit-concentration in h-index

437 of 652 citations arrived in 2023 from one mechanistic discovery (PtdSer-TREM2/SPP1); h-index measures hit-concentration, not breadth, and large-team attribution remains epistemically murky.

Jinhe Deng — early-career entity fragmentation

Cross-database divergence (h-index 1 vs 3, same paper set) shows identity fragmentation silently splits or merges credit for most early-career author evaluations.

Quan Chen (Nankai) — mitophagy dogma inversion

Impaired muscle mitophagy acting as a hormetic trigger for metabolic protection inverts 'more mitophagy = healthier'; caveats include likely-homonym papers diluting attributable strength and unverifiable citation metrics.

Patrick J. Biggs — institutional design as confounder

Multi-kmer tuatara assembly with full data deposition made a non-model lineage computationally legible; the OSABI pilot shows fixed rest windows can be both intervention and confounder. Author-level metrics unverifiable (API failure).

Linmao Zheng — two-pillar citation pattern

284 of 668 citations (~43%) derive from just two 2021 rare-RCC papers; perceived expertise rests on team-accomplished early work whose independent influence is untested, plus a 2024 spike requiring verification.

Eunice Choi — disambiguation as hidden failure mode

Ten 'Eunice Choi' OpenAlex profiles mean any bibliometric verdict could silently merge or split distinct scientists; verified work is competent middle-author science (h-index 12, 894 citations).

D. Coates — homonymy corrupts h-index

A merged profile (h=32) could hide a world-class microbiologist (h=63) diluted by junior namesakes or inflate a modest researcher via citation transfer — the review is unassignable with confidence.

Mariacristina Mazzitelli — ten-fold h-index gap

OpenAlex (h=15, 1,141 citations) vs Semantic Scholar (h=1, 2 citations) for possibly related names — identical names on different databases can produce contradictory assessments, so metrics must be triangulated.

Haihe Ruan — chromatin as biophysical material

443 citations over 9 papers (~49 avg) shows real uptake, but h-index 7 signals limited sustained independent impact and missing author-position data prevents leadership assessment.

Lucía Fernández-del-Río — the essential collaborator

Metrics (h=15, ~926 citations) understate mechanistic fingerprints spanning UCLA, Johns Hopkins, and Córdoba; fragmented records (h 1 vs 15 across databases) show entity splitting corrupting bibliometric judgment.

Sara Orehek — single-source metrics misclassify

Database artifacts (h-index 1 vs 7 for the same person) misclassify early-career scientists; citation-peak years aligning with paper publication years implies influence is paper-driven, not brand-driven.

Beth A. Firulli — one discovery anchoring decades

A single mechanistic discovery (bHLH dimerization choice) anchors three decades of disease-relevant work; citation decay after 2015 reflects field maturation, not declining quality.

Efthimios Deligeoroglou — fragmentation understates clinicians

Spelling-variant records split an h-index-28 Greek clinician's work; merging would raise both works and h-index — a blindspot affecting many senior non-Anglophone authors, with near-zero citation impact after 2020.

Abraham Mulu Oljira — one-paper citation concentration

One 2020 paper carries ~71% of ~125–145 citations, so methodological transparency (public SRA/figshare deposition, standardized pipelines) predicts future promise better than raw counts.

Jiaqi Ban — niche coherence drives visibility

Citation curve (96 cites in 2025 vs 3 in 2020) shows dominating one mechanistic niche (silicosis exosomal ncRNA) can outperform scattered publishing — though salami-slicing patterns and no translational validation temper rigor.

Amarendranath Choudhury — name-variant merging

Semantic Scholar h-index 1 (a 1975 paper) vs OpenAlex h-index 13 across 28 works is a classic disambiguation failure; evaluating without merging name variants radically misjudges the scientist.

Lena Said Mansour — mega-meta-analysis halo

Citation velocity (28→49 in two years) from a 4-million-patient COVID neurology meta-analysis reflects field demand for synthesis, not individual depth; junior middle-author metrics risk halo-effect inflation from senior collaborators.

Barsha Chakraborty — authorship-position drift

Middle author (2022) to first author on probe papers (2022, 2024) typically precedes independent group leadership within 3–5 years; no evidence yet of independent funding or paradigm-shifting work.

Paweł Cięszczyk — measuring a paradigm's rise and correction

Citation peak (2014–2019) coincides with candidate-gene associations whose effect sizes the field later deflated; co-authorship on null results is arguably the strongest epistemic credential (h-index 35, ~4.5k citations).

Jessica S. W. Borgers — consortium citation artifacts

In Dutch-registry clinical oncology, individual impact is architecturally coupled to consortium trials; the 2022 citation spike (739) is a consortium artifact, not a personal discovery (h-index 14, 77 works).