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See the raw experimental evidence behind an author's publications and reproducibility signals.







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     Quick Explanation



    Short appraisal β€” identity confusion, mixed metrics

    Available metadata shows two conflicting records for "Emmanuelle Maguin": (A) a low-citation author record (h-index = 1, 1 paper, 36 citations) supplied in your metadata and (B) an OpenAlex profile that groups a high-output researcher (works_count ~192, cited_by_count ~19,724, h-index ~57) who is co-author on many highly-cited microbiome and gram-positive bacteria methods papers. Which profile is the true target matters for any evaluation; my detailed review below documents both possibilities, highlights the evidence (paper-level DOIs), and recommends identity-disambiguation steps.

    Key supporting primary papers (selected because they include "Emmanuelle Maguin" as an author and are highly-cited):




     Long Explanation



    Author Review: Emmanuelle Maguin β€” Visual first, evidence second

    Key quantitative signal (papers & citations)

    Graph source: citation counts taken from the OpenAlex-derived top_works list in the supplied data (names and counts shown above). These paper counts indicate the OpenAlex cluster includes multiple widely-cited microbiome and bacterial genetics papers where a variant of the name "Emmanuelle Maguin / Le Chatelier / Maguin Emmanuelle" appears as an author in different positions (first, middle, last) β€” this is the central reason for identity ambiguity. Representative high-impact DOIs from that cluster are cited below.

    Evidence: primary papers tying the name to technical contributions

    • Insertional mutagenesis in lactococci (methods paper) β€” Emmanuelle Maguin is first author on a Journal of Bacteriology methods paper describing ISS1::pG+host mutagenesis widely used in gram-positive bacteria studies, indicating technical contribution to genetic tools for LAB (supporting the hypothesis of an experimentalist with method-level impact).
    • Thermosensitive plasmid for gram-positive bacteria (replicon tool) β€” early work on a thermosensitive broad-host-range replicon (pVE6002/pG+host family) useful for allelic replacement in gram-positive bacteria; such tools are foundational and commonly reused.
    • High-efficiency gene inactivation system (homologous recombination) β€” Emmanuelle Maguin appears as a co-author on a 1993 Journal of Bacteriology paper describing efficient single- and double-crossover systems in gram-positive bacteria, increasing reproducibility and tractability in these model organisms.
    • Molecular microbiology on Listeria internalin (pathogenesis) β€” co-authorship on a 1995 Molecular Microbiology paper investigating InIB-mediated entry of Listeria monocytogenes into hepatocytes shows involvement in bacterial pathogenesis research beyond fermentation/methods.

    These method papers (1992–1996) are repeatedly re-used in the bacteriology community; their citation footprints and the appearance of the name "Emmanuelle Maguin" on them form the backbone of the high-h-index OpenAlex cluster.

    Conflicting author-level metrics β€” evidence & interpretation

    1. You provided an author record listing: h-index = 1, total citations = 36, paper count = 1, with a single paper titled "SOS-associated division inhibition gene sfiC..." β€” that record describes a low-output researcher (or a distinct homonym) and is internally consistent with a small academic footprint.
    2. OpenAlex-derived cluster data (supplied) groups an author id with works_count ~192, cited_by_count ~19,724 and h_index ~57, and lists multiple high-impact papers (Nature, Nature Microbiology, Microbiome, Journal of Bacteriology) where a name variant appears β€” this cluster corresponds to an established experimental microbiologist with influential methods and microbiome co-authorships. Representative high-impact microbiome papers in that cluster include Nature 2013 (gut richness) and Nature 2013 (dietary intervention).

    Interpretation: the data strongly indicate an author disambiguation issue. The OpenAlex cluster contains long publication history and high-impact work; your single-paper record is either (a) a different person with the same/similar name, (b) a truncated export of the author’s full record (missing many works), or (c) an indexing artifact that split one researcher across multiple profiles. Disambiguation is required before assigning an overall scientific-strength score confidently.

    Strengths, weaknesses, and blindspots (evidence-based)

    • Strength β€” Methods and tools: The 1992–1996 J. Bacteriology papers describe plasmids and mutagenesis systems that are broadly useful (replicable protocols, tools), which is high-value scientific contribution because methods scale across many labs and enable downstream discoveries.
    • Weakness / ambiguity β€” attribution & name variants: The presence of name variants (e.g., Emmanuelle Maguin, Emmanuelle Le Chatelier, Maguin Emmanuelle) across multiple papers and clusters increases risk of misattribution. This undermines raw metrics (h-index, citation totals) when harvesting automated profiles without disambiguation.
    • Blindspot β€” institution/affiliation transparency: Supplied OpenAlex metadata shows "primary_institution: None / last_known_institution: None" which prevents cross-checking author identity using institutional pages or lab sites; lack of institutional anchor increases reliance on bibliometric clustering and increases error risk.
    • Possible bias/error sources: automated merging of homonyms, database indexing differences (Scopus/Web of Science/OpenAlex), and name changes (marriage, accent marks, ordering) are common; these can inflate or deflate apparent productivity if not manually curated.

    Practical recommendations (next steps to resolve identity & evaluate scientific strength)

    1. Author disambiguation: cross-check ORCID (provided in OpenAlex: https://orcid.org/0000-0001-5452-3382) and institution pages, and query author name variants ("Emmanuelle Maguin", "Maguin Emmanuelle", "Emmanuelle Le Chatelier") in PubMed/Scopus/Web of Science to produce a curated paper list; prioritize papers with the exact ORCID if present.
    2. Metric validation: once curated, recompute h-index and total citations from a single authoritative source (e.g., Scopus or Web of Science) rather than relying solely on OpenAlex or single exported records.
    3. Qualitative assessment: read key methods papers (1992–1996) to judge technical novelty and downstream reuse; examine author position (first vs. middle vs. last) to infer role (lead, technical contributor, PI).
    4. If you want, I can run a stepwise disambiguation (ORCID + PubMed + CrossRef matching) and produce an authoritative curated publication list and regenerated metrics β€” use the Run AI Scientist Analysis button below to start that automated pipeline.
    Representative DOIs and sources cited in this report (these form the empirical basis for the assessment above):


    Feedback:   

    Updated: March 10, 2026

    BGPT Author Review



    Scientific Quality

    70%

    Based on the evidence in the OpenAlex cluster and multiple methods papers (1992–1996) that are widely used, the author linked to the OpenAlex profile shows solid, influential experimental contributions (methods and tools) appropriate to an experienced, productive microbiologist; however, identity-disambiguation uncertainty and missing institutional clarity reduce confidence, so the score is not maximal.



    Communication Quality

    70%

    Papers cited include clear methods descriptions in reputable journals (Journal of Bacteriology, Molecular Microbiology) and multi-author high-impact collaborations β€” the communication of methods and collaborative data appears competent and reproducible, but direct evidence about pedagogical clarity (e.g., protocols, tutorials) is limited in the supplied metadata.



    Author Novelty

    60%

    Work appears to be primarily methodological and enabling (thermosensitive replicons, mutagenesis systems) rather than paradigm-shifting conceptual breakthroughs; enabling methods are novel within their practical domain but not revolutionary at the field level.



    Scientific Rigor

    80%

    Methodological papers in peer-reviewed microbiology journals with sustained reuse and citations indicate good experimental rigor and reproducibility; the presence of multiple co-authored studies in well-regarded journals supports consistent experimental standards.

     Analysis Wizard



    Preparing an ORCID-anchored PubMed/CrossRef harvest to create a disambiguated publication list and recompute h-index and yearly citation timeline.



     Hypothesis Graveyard



    Hypothesis that the single low-metric record is the authoritative record β€” unlikely because multiple independent DOIs list Emmanuelle Maguin across decades and methods papers show sustained citations.


    Hypothesis that the OpenAlex cluster represents entirely different people with no overlap β€” less likely given repeating co-author networks (e.g., Dusko Ehrlich, Alexandra Gruss) that tie the listed methods papers together.

     Science Art


    Author Review: Emmanuelle Maguin Science Art

     Science Movie



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     Discussion








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