Dominique Charmot
- Organic Chemistry top 2%
- Immunology top 5%
- Molecular Biology
- Polymers and Plastics top 5%
- Materials Chemistry
- Co-authors
- Claude MawasSamir Z. ZardGurutze ArzamendiJosé R. LeizaJosé M. AsúaHarold A. S. SchoonbroodChristophe PlessisMathias Destarac
- Topics
- T-cell and B-cell Immunology (27 papers)Immunotherapy and Immune Responses (18 papers)Immune Cell Function and Interaction (15 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Dominique Charmot
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Organic Chemistry 1.1k
- Immunology 650
- Molecular Biology 366
- Polymers and Plastics 308
- Materials Chemistry 267
Countries citing papers authored by Dominique Charmot
This map shows the geographic impact of Dominique Charmot'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 Charmot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Charmot more than expected).
Fields of papers citing papers by Dominique Charmot
This network shows the impact of papers produced by Dominique Charmot. 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 Charmot. The network helps show where Dominique Charmot may publish in the future.
Co-authorship network of co-authors of Dominique Charmot
This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Charmot. A scholar is included among the top collaborators of Dominique Charmot 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 Charmot. Dominique Charmot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 16 | |
| 3 | 126 | |
| 4 | 86 | |
| 5 | 64 | |
| 6 | 45 | |
| 7 | High throughput synthesis and screening in specialty polymers applications. | 2 |
| 8 | 105 | |
| 9 | 91 | |
| 10 | 183 | |
| 11 | 14 | |
| 12 | 23 | |
| 13 | 129 | |
| 14 | Alloreactive monofunctional human T cell clones expressing cytotoxic or primed lymphocyte typing reactivity as well as restricted immunogenetic specificities. | 2 |
| 15 | 12 | |
| 16 | Specific inhibition of human lymphocyte responses by primed autologous lymphocytes. I. Evaluation of MLR inhibition as a model for suppression. | 22 |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 26 |
About Dominique Charmot
Dominique Charmot is a scholar working on Immunology, Gastroenterology and Organic Chemistry, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immunotherapy and Immune Responses (18 papers) and Immune Cell Function and Interaction (15 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Immunology (650 citations) and Polymers and Plastics (308 citations). Dominique Charmot has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Claude Mawas, Samir Z. Zard, Gurutze Arzamendi, José R. Leiza, José M. Asúa, Harold A. S. Schoonbrood, Christophe Plessis, Mathias Destarac, Stephen Shaw and Ghenwa Bouhadir. Their work appears in journals such as Nature, The EMBO Journal 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.