Pascale Chomarat
- Immunology top 0.5%
- Oncology top 2%
- Molecular Biology top 10%
- Rheumatology top 1%
- Physiology top 5%
- Co-authors
- Jacques BanchereauJean DavoustKarolina PaluckaPierre MiossecMarie‐Clotilde RissoanSerge LebecqueOdile DjossouJean‐Jacques Pin
- Topics
- Rheumatoid Arthritis Research and Therapies (7 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)Immunotherapy and Immune Responses (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pascale Chomarat
32 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 2.9k
- Oncology 1.1k
- Molecular Biology 1.0k
- Rheumatology 623
- Physiology 464
Countries citing papers authored by Pascale Chomarat
This map shows the geographic impact of Pascale Chomarat'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 Pascale Chomarat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale Chomarat more than expected).
Fields of papers citing papers by Pascale Chomarat
This network shows the impact of papers produced by Pascale Chomarat. 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 Pascale Chomarat. The network helps show where Pascale Chomarat may publish in the future.
Co-authorship network of co-authors of Pascale Chomarat
This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Chomarat. A scholar is included among the top collaborators of Pascale Chomarat 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 Pascale Chomarat. Pascale Chomarat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 9 | |
| 3 | 97 | |
| 4 | 97 | |
| 5 | 2 | |
| 6 | 155 | |
| 7 | 198 | |
| 8 | IL-6 switches the differentiation of monocytes from dendritic cells to macrophagesbreakdown → | 736 |
| 9 | 273 | |
| 10 | 20 | |
| 11 | T cell interleukin-17 induces stromal cells to produce proinflammatory and hematopoietic cytokines.breakdown → | 1240 |
| 12 | 28 | |
| 13 | 204 | |
| 14 | 37 | |
| 15 | 49 | |
| 16 | 41 | |
| 17 | 47 | |
| 18 | 94 | |
| 19 | 108 | |
| 20 | 242 |
About Pascale Chomarat
Pascale Chomarat is a scholar working on Rheumatology, Immunology and Physiology, having authored 32 papers that have together received 4.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (2.9k citations), Immunology and Allergy (280 citations) and Rheumatology (623 citations). Pascale Chomarat has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jacques Banchereau, Jean Davoust, Karolina Palucka, Pierre Miossec, Marie‐Clotilde Rissoan, Serge Lebecque, Odile Djossou, Jean‐Jacques Pin, François Fossiez and Smina Aït‐Yahia. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature 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.