Philippe Ruminy
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 78
- Genetic factors in colorectal cancer 7
- Genetics 33
- Chronic Lymphocytic Leukemia Research 30
- Co-authors
- Hervé Tilly (53 shared papers)Fabrice Jardin (63 shared papers)Christian Bastard (34 shared papers)Sylvain Mareschal (25 shared papers)Philìppe Bertrand (24 shared papers)Catherine Maingonnat (17 shared papers)Élodie Bohers (28 shared papers)Jean‐Michel Picquenot (27 shared papers)
- Journals
- Blood (22 papers)Leukemia (10 papers)Genes Chromosomes and Cancer (8 papers)Haematologica (8 papers)Blood Advances (5 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Philippe Ruminy
117 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 102
- Pathology and Forensic Medicine 2.1k
- Genetics 886
- Oncology 1.2k
- Cancer Research 658
- Dermatology 262
Countries citing papers authored by Philippe Ruminy
This map shows the geographic impact of Philippe Ruminy'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 Philippe Ruminy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Ruminy more than expected).
Fields of papers citing papers by Philippe Ruminy
This network shows the impact of papers produced by Philippe Ruminy. 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 Philippe Ruminy. The network helps show where Philippe Ruminy may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Ruminy, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 167 | |
| 2 | 2000 | 129 | |
| 3 | 2007 | 120 | |
| 4 | 2010 | 116 | |
| 5 | 2010 | 115 | |
| 6 | 2015 | 112 | |
| 7 | 2016 | 103 | |
| 8 | 2011 | 97 | |
| 9 | 2014 | 94 | |
| 10 | 2017 | 92 | |
| 11 | 2016 | 92 | |
| 12 | 2017 | 85 | |
| 13 | 2018 | 85 | |
| 14 | 2015 | 81 | |
| 15 | 2001 | 81 | |
| 16 | 2018 | 80 | |
| 17 | 2015 | 79 | |
| 18 | 2013 | 75 | |
| 19 | 2011 | 75 | |
| 20 | 2016 | 71 |
About Philippe Ruminy
Philippe Ruminy is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Cancer Research and Immunology, having authored 120 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (78 papers), Chronic Lymphocytic Leukemia Research (30 papers), Cancer Genomics and Diagnostics (22 papers), Viral-associated cancers and disorders (18 papers), CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (9 papers), Genetic factors in colorectal cancer (7 papers) and CNS Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.1k citations), Genetics (886 citations), Oncology (1.2k citations), Cancer Research (658 citations) and Dermatology (262 citations). Philippe Ruminy has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Hervé Tilly, Fabrice Jardin, Christian Bastard, Sylvain Mareschal, Philìppe Bertrand, Catherine Maingonnat, Élodie Bohers, Jean‐Michel Picquenot, Pierre‐Julien Viailly and Jean‐Philippe Salier. Their work appears in journals such as Blood, Leukemia, Genes Chromosomes and Cancer, Haematologica and Blood Advances.
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.