Jean‐Daniel Tissot
- Molecular Biology top 5%
- Hematology top 0.5%
- Physiology top 2%
- Biochemistry top 0.5%
- Spectroscopy top 1%
- Co-authors
- Niels LionDavid CrettazMichel PrudentOlivier RubinGiorgia CanelliniPhilippe SchneiderJulien DelobelDenis F. Hochstrasser
- Topics
- Erythrocyte Function and Pathophysiology (49 papers)Blood transfusion and management (44 papers)Blood groups and transfusion (37 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Jean‐Daniel Tissot
196 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.5k
- Hematology 1.4k
- Physiology 1.0k
- Biochemistry 851
- Spectroscopy 646
Countries citing papers authored by Jean‐Daniel Tissot
This map shows the geographic impact of Jean‐Daniel Tissot'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‐Daniel Tissot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Daniel Tissot more than expected).
Fields of papers citing papers by Jean‐Daniel Tissot
This network shows the impact of papers produced by Jean‐Daniel Tissot. 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‐Daniel Tissot. The network helps show where Jean‐Daniel Tissot may publish in the future.
Co-authorship network of co-authors of Jean‐Daniel Tissot
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Daniel Tissot. A scholar is included among the top collaborators of Jean‐Daniel Tissot 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‐Daniel Tissot. Jean‐Daniel Tissot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 120 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 88 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | [Risk management in the hospital milieu: needs and implications]. | 2 |
| 17 | 31 | |
| 18 | 70 | |
| 19 | 7 | |
| 20 | Résultats préliminaires de la campagne océanographique de sismique réflexion multitraces MD47 dans le domaine sud du plateau de Kerguelen | 11 |
About Jean‐Daniel Tissot
Jean‐Daniel Tissot is a scholar working on Biochemistry, Hematology and Management of Technology and Innovation, having authored 198 papers that have together received 4.7k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (49 papers), Blood transfusion and management (44 papers) and Blood groups and transfusion (37 papers). The work is most often cited by research in Biochemistry (851 citations), Hematology (1.4k citations) and Management of Technology and Innovation (411 citations). Jean‐Daniel Tissot has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Niels Lion, David Crettaz, Michel Prudent, Olivier Rubin, Giorgia Canellini, Philippe Schneider, Julien Delobel, Denis F. Hochstrasser, Mélanie Abonnenc and Lynne Thadikkaran. Their work appears in journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.
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.