C. Ram‐Wolff
Impact in
- Dermatology top 0.5%
- Cutaneous lymphoproliferative disorders research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Dermatology 56
- Cutaneous lymphoproliferative disorders research 54
-
- Lymphoma Diagnosis and Treatment 25
- Co-authors
- M. Bagot (43 shared papers)Armand Bensussan (18 shared papers)Maxime Battistella (31 shared papers)Adèle de Masson (28 shared papers)Anne Marie‐Cardine (13 shared papers)Martine Bagot (12 shared papers)Hélène Sicard (6 shared papers)Jean‐David Bouaziz (14 shared papers)
- Journals
- British Journal of Dermatology (12 papers)European Journal of Cancer (8 papers)European Journal of Dermatology (5 papers)Blood (3 papers)Journal of Investigative Dermatology (3 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
C. Ram‐Wolff
52 papers receiving 688 citations
Peers
Comparison fields: 5 of 43
- Dermatology 528
- Pathology and Forensic Medicine 404
- Immunology 258
- Epidemiology 274
- Oncology 186
Countries citing papers authored by C. Ram‐Wolff
This map shows the geographic impact of C. Ram‐Wolff'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 C. Ram‐Wolff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Ram‐Wolff more than expected).
Fields of papers citing papers by C. Ram‐Wolff
This network shows the impact of papers produced by C. Ram‐Wolff. 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 C. Ram‐Wolff. The network helps show where C. Ram‐Wolff may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Ram‐Wolff, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 109 | |
| 2 | 2014 | 76 | |
| 3 | 2014 | 58 | |
| 4 | 2014 | 46 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 29 | |
| 7 | 2010 | 24 | |
| 8 | 2016 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2010 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2020 | 11 |
About C. Ram‐Wolff
C. Ram‐Wolff is a scholar working on Dermatology, Pathology and Forensic Medicine, Epidemiology, Immunology and Oncology, having authored 60 papers that have together received 694 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (54 papers), Lymphoma Diagnosis and Treatment (25 papers), T-cell and Retrovirus Studies (21 papers), Fungal Infections and Studies (17 papers), CAR-T cell therapy research (13 papers), Nail Diseases and Treatments (10 papers), Eosinophilic Disorders and Syndromes (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Dermatology (528 citations), Pathology and Forensic Medicine (404 citations), Immunology (258 citations), Epidemiology (274 citations) and Oncology (186 citations). C. Ram‐Wolff has collaborated with scholars based in France, United States and Germany. Frequent co-authors include M. Bagot, Armand Bensussan, Maxime Battistella, Adèle de Masson, Anne Marie‐Cardine, Martine Bagot, Hélène Sicard, Jean‐David Bouaziz, Laurence Michel and Nicolás Ortonne. Their work appears in journals such as British Journal of Dermatology, European Journal of Cancer, European Journal of Dermatology, Blood and Journal of Investigative Dermatology.
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.