Emmanuel Gomas

950 citations
11 papers · 839 · h-index 10

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Metabolism, Diabetes, and Cancer
    • Protein Interaction Studies and Fluorescence Analysis

Papers in

    • Protein purification and stability 3
    • Glycosylation and Glycoproteins Research 2
    • Metabolism, Diabetes, and Cancer 2
    • HIV Research and Treatment 5

Emmanuel Gomas

11 papers receiving 828 citations

Peers

Emmanuel Gomas
Comparison fields: 5 of 79
  • Virology 177
  • Molecular Biology 519
  • Infectious Diseases 121
  • Physiology 146
  • Geriatrics and Gerontology 19
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Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Gomas

Since Specialization
Citations

This map shows the geographic impact of Emmanuel Gomas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emmanuel Gomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Gomas more than expected).

Fields of papers citing papers by Emmanuel Gomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel Gomas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emmanuel Gomas. The network helps show where Emmanuel Gomas may publish in the future.

Co-authors

The 25 scholars most cited alongside Emmanuel Gomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emmanuel Gomas Line = papers co-authored together Emmanuel Gomas links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2003428
2 1995116
3 199368
4 199659
5 199343
6 200539
7
Fractionation of the genetic variants of human alpha 1-acid glycoprotein in the native form by chromatography on an immobilized copper(II) affinity adsorbent. Heterogeneity of the separate variants by isoelectrofocusing and by concanavalin A affinity chromatography.
199338
8 200321
9 199912
10 19979
11 19986

About Emmanuel Gomas

Emmanuel Gomas is a scholar working on Molecular Biology, Virology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 11 papers that have together received 839 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Protein purification and stability (3 papers), HIV/AIDS drug development and treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Pancreatic function and diabetes (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Virology (177 citations), Molecular Biology (519 citations), Infectious Diseases (121 citations), Physiology (146 citations) and Geriatrics and Gerontology (19 citations). Emmanuel Gomas has collaborated with scholars based in France, Belgium and Denmark. Frequent co-authors include Françoise Hervé, Rémy Burcelin, Daisy Flamez, Axel Kahn, Fabrizio Andréelli, Frans Schuit, David Carling, Christophe Perrin, James Mu and Morris J. Birnbaum. Their work appears in journals such as Virology, Journal of Clinical Investigation, AIDS Research and Human Retroviruses, Journal of Virology and British Journal of Clinical Pharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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