Guy Serre
Impact in
- Rheumatology top 0.1%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Dermatology top 0.2%
- Dermatology and Skin Diseases
Papers in
- Rheumatology 94
- Rheumatoid Arthritis Research and Therapies 91
- Systemic Lupus Erythematosus Research 13
- Cell Biology 81
- Skin and Cellular Biology Research 79
- Co-authors
- Michel Simon (82 shared papers)Mireille Sebbag (47 shared papers)Léonor Nogueira (37 shared papers)Elisabeth Girbal‐Neuhauser (13 shared papers)Marina Guerrin (30 shared papers)C Clavel (19 shared papers)Marie‐Claire Méchin (26 shared papers)Nathalie Jonca (29 shared papers)
In The Last Decade
Guy Serre
198 papers receiving 10.4k citations
Guy Serre's Hit Papers
Peers
Comparison fields: 5 of 117
- Rheumatology 4.9k
- Dermatology 1.4k
- Cell Biology 2k
- Pharmaceutical Science 445
- Immunology 794
Countries citing papers authored by Guy Serre
This map shows the geographic impact of Guy Serre'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 Guy Serre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Serre more than expected).
Fields of papers citing papers by Guy Serre
This network shows the impact of papers produced by Guy Serre. 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 Guy Serre. The network helps show where Guy Serre may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Serre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Major Synovial Targets of the Rheumatoid Arthritis-Specific Antifilaggrin Autoantibodies Are Deiminated Forms of the α- and β-Chains of Fibrin Hit paper breakdown → | 2001 | 550 |
| 2 | 2004 | 432 | |
| 3 | 1999 | 412 | |
| 4 | 2007 | 330 | |
| 5 | 1995 | 275 | |
| 6 | 2004 | 262 | |
| 7 | 2008 | 249 | |
| 8 | 1993 | 207 | |
| 9 | 2009 | 205 | |
| 10 | 2013 | 202 | |
| 11 | 2000 | 189 | |
| 12 | 2015 | 185 | |
| 13 | 2004 | 170 | |
| 14 | 2001 | 145 | |
| 15 | 2001 | 144 | |
| 16 | 2013 | 144 | |
| 17 | 2006 | 140 | |
| 18 | 1991 | 137 | |
| 19 | 2007 | 134 | |
| 20 | 2003 | 131 |
About Guy Serre
Guy Serre is a scholar working on Rheumatology, Cell Biology, Dermatology, Urology and Immunology, having authored 204 papers that have together received 10.9k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (91 papers), Skin and Cellular Biology Research (79 papers), Systemic Lupus Erythematosus Research (13 papers), Dermatology and Skin Diseases (12 papers), Hair Growth and Disorders (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Rheumatology (4.9k citations), Dermatology (1.4k citations), Cell Biology (2k citations), Pharmaceutical Science (445 citations) and Immunology (794 citations). Guy Serre has collaborated with scholars based in France, Japan and Germany. Frequent co-authors include Michel Simon, Mireille Sebbag, Léonor Nogueira, Elisabeth Girbal‐Neuhauser, Marina Guerrin, C Clavel, Marie‐Claire Méchin, Nathalie Jonca, Rachida Nachat and Marek Haftek. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Investigative Dermatology, Arthritis Research & Therapy, The Journal of Immunology and Journal of Biological Chemistry.
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.