E. Gérard
Impact in
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cutaneous Melanoma Detection and Management
- HER2/EGFR in Cancer Research
Papers in
- Oncology 16
- Cancer Immunotherapy and Biomarkers 12
- Cutaneous Melanoma Detection and Management 4
- CAR-T cell therapy research 3
- Polyomavirus and related diseases 2
-
- Melanoma and MAPK Pathways 5
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Co-authors
- Caroline Dutriaux (20 shared papers)M. Beylot‐Barry (20 shared papers)S. Prey (17 shared papers)Anne Pham‐Ledard (18 shared papers)L. Dousset (10 shared papers)RK Shadduck (1 shared paper)A.L. Carsten (1 shared paper)O. Cogrel (4 shared papers)
- Journals
- European Journal of Cancer (3 papers)Journal of Clinical Oncology (2 papers)Journal of Immunotherapy (2 papers)Annals of Oncology (2 papers)Clinica Chimica Acta (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
E. Gérard
29 papers receiving 223 citations
Peers
Comparison fields: 5 of 53
- Oncology 110
- Immunology and Allergy 18
- Immunology 52
- Hematology 20
- Genetics 13
Countries citing papers authored by E. Gérard
This map shows the geographic impact of E. Gérard'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 E. Gérard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Gérard more than expected).
Fields of papers citing papers by E. Gérard
This network shows the impact of papers produced by E. Gérard. 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 E. Gérard. The network helps show where E. Gérard may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Gérard, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 28 | |
| 2 | 1978 | 26 | |
| 3 | 2016 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2019 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About E. Gérard
E. Gérard is a scholar working on Oncology, Molecular Biology, Epidemiology, Dermatology and Immunology, having authored 37 papers that have together received 228 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Melanoma and MAPK Pathways (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Nonmelanoma Skin Cancer Studies (4 papers), CAR-T cell therapy research (3 papers), Polyomavirus and related diseases (2 papers), melanin and skin pigmentation (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Oncology (110 citations), Immunology and Allergy (18 citations), Immunology (52 citations), Hematology (20 citations) and Genetics (13 citations). E. Gérard has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Caroline Dutriaux, M. Beylot‐Barry, S. Prey, Anne Pham‐Ledard, L. Dousset, RK Shadduck, A.L. Carsten, O. Cogrel, G. Chikkappa and M.‐S. Doutre. Their work appears in journals such as European Journal of Cancer, Journal of Clinical Oncology, Journal of Immunotherapy, Annals of Oncology and Clinica Chimica Acta.
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.