Frédéric Gilles
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Ubiquitin and proteasome pathways 4
- Glycosylation and Glycoproteins Research 3
-
- Lymphoma Diagnosis and Treatment 9
- Co-authors
- André Goy (13 shared papers)Fernando Cabanillas (4 shared papers)Susan Hart (2 shared papers)Andreas H. Sarris (2 shared papers)Kristine Broglio (1 shared paper)Elizabeth Trehu (1 shared paper)Nam H. Dang (1 shared paper)Frederick Hagemeister (1 shared paper)
- Journals
- Blood (2 papers)Cancer (1 paper)Human Molecular Genetics (1 paper)Cytometry (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Frédéric Gilles
21 papers receiving 736 citations
Peers
Comparison fields: 5 of 62
- Pathology and Forensic Medicine 353
- Genetics 202
- Hematology 124
- Oncology 300
- Molecular Biology 375
Countries citing papers authored by Frédéric Gilles
This map shows the geographic impact of Frédéric Gilles'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 Frédéric Gilles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Gilles more than expected).
Fields of papers citing papers by Frédéric Gilles
This network shows the impact of papers produced by Frédéric Gilles. 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 Frédéric Gilles. The network helps show where Frédéric Gilles may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Gilles, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 416 | |
| 2 | 1996 | 45 | |
| 3 | 2000 | 44 | |
| 4 | 1995 | 35 | |
| 5 | 1992 | 25 | |
| 6 | 2004 | 24 | |
| 7 | 2004 | 21 | |
| 8 | Prognostic significance of MUC-1 expression in systemic anaplastic large cell lymphoma. | 2003 | 21 |
| 9 | 2004 | 18 | |
| 10 | 2005 | 16 | |
| 11 | 1971 | 16 | |
| 12 | 2003 | 11 | |
| 13 | 2000 | 10 | |
| 14 | 2004 | 10 | |
| 15 | 1997 | 8 | |
| 16 | 2006 | 8 | |
| 17 | 2000 | 7 | |
| 18 | 2003 | 6 | |
| 19 | 1997 | 5 | |
| 20 | 2003 | 4 |
About Frédéric Gilles
Frédéric Gilles is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Cell Biology, having authored 21 papers that have together received 753 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Glycosylation and Glycoproteins Research (3 papers), Horticultural and Viticultural Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Plant Physiology and Cultivation Studies (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (353 citations), Genetics (202 citations), Hematology (124 citations), Oncology (300 citations) and Molecular Biology (375 citations). Frédéric Gilles has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include André Goy, Fernando Cabanillas, Susan Hart, Andreas H. Sarris, Kristine Broglio, Elizabeth Trehu, Nam H. Dang, Frederick Hagemeister, Anas Younes and David P. Schenkein. Their work appears in journals such as Blood, Cancer, Human Molecular Genetics, Cytometry and Laboratory Investigation.
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.