Dominique Thevenon
- Molecular Biology
- Hematology top 5%
- Immunology
- Cell Biology
- Insect Science top 10%
- Co-authors
- Georges UzanM.H. PrandiniFlorence MartinG MarguerieMarie‐Odile FauvarqueEmmanuel TaillebourgIsabelle MartyEvelyne Bergeret
- Topics
- Platelet Disorders and Treatments (6 papers)Ubiquitin and proteasome pathways (4 papers)Invertebrate Immune Response Mechanisms (3 papers)
- Partner nations
- FranceSwitzerlandMali
In The Last Decade
Dominique Thevenon
19 papers receiving 581 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 303
- Hematology 198
- Immunology 158
- Cell Biology 71
- Insect Science 69
Countries citing papers authored by Dominique Thevenon
This map shows the geographic impact of Dominique Thevenon'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 Dominique Thevenon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Thevenon more than expected).
Fields of papers citing papers by Dominique Thevenon
This network shows the impact of papers produced by Dominique Thevenon. 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 Dominique Thevenon. The network helps show where Dominique Thevenon may publish in the future.
Co-authorship network of co-authors of Dominique Thevenon
This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Thevenon. A scholar is included among the top collaborators of Dominique Thevenon 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 Dominique Thevenon. Dominique Thevenon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 36 | |
| 5 | 56 | |
| 6 | 72 | |
| 7 | 44 | |
| 8 | 31 | |
| 9 | 32 | |
| 10 | 46 | |
| 11 | The MS-5 murine stromal cell line and hematopoietic growth factors synergize to support the megakaryocytic differentiation of embryonic stem cells. | 18 |
| 12 | 51 | |
| 13 | 62 | |
| 14 | 61 | |
| 15 | Gene regulation in megakaryocyte. | 1 |
| 16 | 31 | |
| 17 | 8 | |
| 18 | Purification and cryopreservation of granulomonocytic colony forming cells (GM-CFC) from the blood of patients with chronic granulocytic leukemia (CGL) for autologous transplantation. | 7 |
| 19 | 9 |
About Dominique Thevenon
Dominique Thevenon is a scholar working on Hematology, Immunology and Cell Biology, having authored 19 papers that have together received 592 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Ubiquitin and proteasome pathways (4 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Hematology (198 citations), Immunology and Allergy (64 citations) and Immunology (158 citations). Dominique Thevenon has collaborated with scholars based in France, Switzerland and Mali. Frequent co-authors include Georges Uzan, M.H. Prandini, Florence Martin, G Marguerie, Marie‐Odile Fauvarque, Emmanuel Taillebourg, Isabelle Marty, Evelyne Bergeret, Anne‐Claire Jacomin and Didier Grünwald. Their work appears in journals such as Journal of Biological Chemistry, Blood and Biochemical and Biophysical Research Communications.
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.