F. M. Kourilsky
- Immunology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Epidemiology top 10%
- Co-authors
- Wolf H. FridmanJohn N. WeinsteinJacques BarbetLee LesermanKurt J. BlochBaruj BenacerrafCatherine Sautès‐FridmanD. Silvestre
- Topics
- Monoclonal and Polyclonal Antibodies Research (33 papers)T-cell and B-cell Immunology (22 papers)Immune Cell Function and Interaction (14 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
F. M. Kourilsky
59 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 1.4k
- Molecular Biology 866
- Radiology, Nuclear Medicine and Imaging 782
- Oncology 505
- Epidemiology 330
Countries citing papers authored by F. M. Kourilsky
This map shows the geographic impact of F. M. Kourilsky'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 F. M. Kourilsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. M. Kourilsky more than expected).
Fields of papers citing papers by F. M. Kourilsky
This network shows the impact of papers produced by F. M. Kourilsky. 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 F. M. Kourilsky. The network helps show where F. M. Kourilsky may publish in the future.
Co-authorship network of co-authors of F. M. Kourilsky
This figure shows the co-authorship network connecting the top 25 collaborators of F. M. Kourilsky. A scholar is included among the top collaborators of F. M. Kourilsky 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 F. M. Kourilsky. F. M. Kourilsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | Alloreactive monofunctional human T cell clones expressing cytotoxic or primed lymphocyte typing reactivity as well as restricted immunogenetic specificities. | 2 |
| 6 | 293 | |
| 7 | 12 | |
| 8 | Expression of private and public specifications of the D region of the H-2 gene complex. | 1 |
| 9 | 122 | |
| 10 | 51 | |
| 11 | 78 | |
| 12 | 107 | |
| 13 | 66 | |
| 14 | 42 | |
| 15 | 48 | |
| 16 | 31 | |
| 17 | 11 | |
| 18 | 41 | |
| 19 | PROPERTIES OF GUINEA PIG 7S ANTIBODIESbreakdown → | 187 |
| 20 | 14 |
About F. M. Kourilsky
F. M. Kourilsky is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 59 papers that have together received 2.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (33 papers), T-cell and B-cell Immunology (22 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Immunology (1.4k citations), Radiology, Nuclear Medicine and Imaging (782 citations) and Immunology and Allergy (153 citations). F. M. Kourilsky has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Wolf H. Fridman, John N. Weinstein, Jacques Barbet, Lee Leserman, Kurt J. Bloch, Baruj Benacerraf, Catherine Sautès‐Fridman, D. Silvestre, Zoltán Óváry and Hans Peter. Their work appears in journals such as Nature, The Lancet and The Journal of Experimental Medicine.
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.