Jean‐Pierre Girma
- Hematology top 1%
- Immunology top 10%
- Genetics top 10%
- Genetics
- Nephrology top 5%
- Co-authors
- Dominique MeyerAgnès VeyradierGeneviève PiétuHarvey J. WeissRosanne RabinowitzWilliam J. VicicJohn RogersBernadette Obert
- Topics
- Platelet Disorders and Treatments (23 papers)Complement system in diseases (11 papers)Blood groups and transfusion (10 papers)
- Cited by
- HematologyNephrologyImmunology
- Partner nations
- FranceNetherlandsJapan
In The Last Decade
Jean‐Pierre Girma
32 papers receiving 822 citations
Peers
Comparison fields: 5 of 81
- Hematology 652
- Immunology 326
- Genetics 150
- Genetics 121
- Nephrology 117
Countries citing papers authored by Jean‐Pierre Girma
This map shows the geographic impact of Jean‐Pierre Girma'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 Jean‐Pierre Girma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Girma more than expected).
Fields of papers citing papers by Jean‐Pierre Girma
This network shows the impact of papers produced by Jean‐Pierre Girma. 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 Jean‐Pierre Girma. The network helps show where Jean‐Pierre Girma may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Girma
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Girma. A scholar is included among the top collaborators of Jean‐Pierre Girma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Pierre Girma. Jean‐Pierre Girma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 30 | |
| 3 | Purpura thrombotique thrombocytopénique par déficit héréditaire en ADAMTS13 (syndrome d’Upshaw-Schulman) : actualités et perspectives | 3 |
| 4 | 26 | |
| 5 | 15 | |
| 6 | 65 | |
| 7 | Physiopathologie du purpura thrombotique thrombocytopénique : actualités et perspectives | 1 |
| 8 | 15 | |
| 9 | 1 | |
| 10 | Protéolyse du facteur Willebrand et purpura thrombotique thrombocytopénique | 1 |
| 11 | 3 | |
| 12 | 43 | |
| 13 | Bases moléculaires de la maladie de Willebrand | 1 |
| 14 | 11 | |
| 15 | 154 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 172 | |
| 20 | 31 |
About Jean‐Pierre Girma
Jean‐Pierre Girma is a scholar working on Hematology, Immunology and Genetics, having authored 32 papers that have together received 870 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (23 papers), Complement system in diseases (11 papers) and Blood groups and transfusion (10 papers). The work is most often cited by research in Hematology (652 citations), Nephrology (117 citations) and Immunology (326 citations). Jean‐Pierre Girma has collaborated with scholars based in France, Netherlands and Japan. Frequent co-authors include Dominique Meyer, Dominique Meyer, Agnès Veyradier, Geneviève Piétu, Harvey J. Weiss, Rosanne Rabinowitz, William J. Vicic, John Rogers, Bernadette Obert and Anne‐Sophie Ribba. Their work appears in journals such as New England Journal of Medicine, Circulation and Blood.
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.