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See how your reported results read as versioned evidence records β€” linked to experiments and limitations.Know what the science actually supports before you trust the answer.

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     Quick Explanation



    Author snapshot β€” Roger Paredes

    OpenAlex shows an author profile with high productivity (447 works) and large citation impact (β‰ˆ26,990 citations, h-index 68). Longitudinal publication and citation trends are plotted below for visual appraisal (data from the OpenAlex extract you provided).

    Key topical focus: HIV, Virology, Medicine (selected high-impact clinical papers include co-authorship on Remdesivir trials and multiple HIV/microbiome studies) β€” representative papers cited inline in the long review below




     Long Explanation



    Author Review β€” Roger Paredes

    Quick quantitative appraisal (data source: OpenAlex extract you provided)

    • Total works (provided): 447
    • Total citations (provided): ~26,990
    • h-index (provided): 68
    • Top topics (OpenAlex tags): Medicine, Biology, Virology, HIV, Internal medicine

    Representative high-impact works (evidence of clinical and translational influence)

    Roger Paredes appears on large, high-impact clinical and translational papers (examples below). These works indicate engagement in clinical trials and HIV/viral infectious disease research and collaborations with major groups:

    Qualitative strengths and evidential notes

    • High productivity and sustained output across decades (many years with >10 works/year in 2010s–2020s) shown in the plots above β€” consistent with an active research program and broad collaborations.
    • Substantial citation impact and h-index (68) indicate many works with lasting influence; participation in high-profile clinical trials (NEJM) supports translational reach and multi-center collaboration capacity .
    • Topical breadth: clinical infectious diseases (HIV, COVID-19, mpox) and microbial ecology/host–microbe interactions; this breadth can confer higher translational value but requires multidisciplinary rigor (clinical trials, cohort studies, multi-omics).

    Potential limitations, blindspots, and bias checks

    • Large multi-author papers (high-impact trials) are collaborative: individual contribution intensity can vary β€” author-level metrics (works_count, cited_by_count, h-index) reflect visibility but not alone the depth/leadership of conceptual contributions.
    • Topic areas like HIV and microbiome are susceptible to confounding (diet, geography, cohort composition). For example, the 2019 microbiome study notes geographic Prevotella-rich context and missing dietary data as limitations that may limit generalizability .
    • Publication and citation counts do not reveal conflicts of interest or funding influences; each high-impact clinical trial should be inspected individually for sponsor roles and COI declarations (the NEJM remdesivir ACTT-1 trial was NIAID-funded; PINETREE had Gilead funding disclosed in the manuscript) .

    Conclusions (evidence-weighted)

    1. Roger Paredes' author-level metrics from OpenAlex (high works_count, high citations, h-index 68) and co-authorship on multiple high-impact clinical trials and cohort studies indicate a scientifically influential author with broad clinical and translational reach.
    2. Strength comes from consistent productivity, presence on high-quality randomized trials (NEJM) and multi-omic cohort studies; potential blindspots include co-author contribution heterogeneity, domain-specific confounders (microbiome studies), and the normal need to inspect COI/funding on a per-paper basis.
    3. Overall confidence: moderate-to-high that Paredes is a productive, influential clinical/viral-infectious-disease researcher with demonstrable contributions to trials and cohort studies; the exact weight of his intellectual leadership per paper requires per-manuscript inspection (author position, corresponding author status, and declared contributions).

    Selected citations used in this review



    Feedback:    

    Updated: March 04, 2026

     BGPT Author Review



    Scientific Quality

    80%

    High productivity, sustained citation impact (h-index ~68) and co-authorship on multiple high-impact clinical trials and cohort studies indicate a strong, influential scientific contributor with demonstrated translational reach; however, co-authorship on large multisite trials means individual leadership per paper varies and requires per-paper inspection.



    Communication Quality

    80%

    Author appears on publications across high-tier clinical journals (NEJM, Lancet-family) and field-specific journals, indicating capacity to generate clearly communicated, peer-reviewed science accessible to clinical and research audiences; multi-author collaborative papers are typically well-structured and adhere to rigorous reporting standards.



    Author Novelty

    70%

    Work spans important, timely clinical and translational topics (HIV-host interactions, COVID therapeutics, microbiome dynamics); while not purely novel theoretical breakthroughs, many contributions are high-impact applied/clinical advances with methodological variety (multi-omic, RCTs).



    Scientific Rigor

    80%

    Presence on randomized controlled trials and prospective multi-omic cohorts shows engagement with rigorous experimental designs and modern bioinformatic pipelines; potential weaknesses are those intrinsic to observational microbiome work (confounding, generalizability) and heterogeneous roles on large-team papers.

     Analysis Wizard



    Aggregating Paredes' paper metadata (author position, year, citations) and plotting per-paper leadership vs impact to quantify individual contribution patterns using OpenAlex/ORCID and provided extract.



     Hypothesis Graveyard



    That citation/h-index alone fully represent an author's intellectual leadership β€” falsified because multi-author team science and differing author roles mean citation metrics overstate individual leadership without contribution metadata.


    That publication in high-impact clinical journals implies uniform methodological superiority across all coauthored papers β€” falsified because observational microbiome studies have domain-specific confounders and limitations noted by authors themselves.

     Science Art


    Author Review: Roger Paredes Science Art

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     Discussion


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