Franck Rapaport
Impact in
- Transplantation top 2%
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
- Surgery 41
- Organ Transplantation Techniques and Outcomes 20
- Xenotransplantation and immune response 12
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- Organ and Tissue Transplantation Research 19
- Renal Transplantation Outcomes and Treatments 12
- Co-authors
- John Marquis Converse (14 shared papers)H. Sherwood Lawrence (13 shared papers)Christopher E. Mason (3 shared papers)J Dausset (17 shared papers)Nicholas D. Socci (3 shared papers)Raya Khanin (1 shared paper)Mono Pirun (1 shared paper)Azra Krek (1 shared paper)
- Journals
- Transplantation (15 papers)Blood (10 papers)Journal of Clinical Investigation (6 papers)Cellular Immunology (5 papers)Experimental Biology and Medicine (5 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Franck Rapaport
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 144
- Transplantation 142
- Hematology 331
- Immunology 513
- Genetics 186
- Cancer Research 251
Countries citing papers authored by Franck Rapaport
This map shows the geographic impact of Franck Rapaport'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 Franck Rapaport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Rapaport more than expected).
Fields of papers citing papers by Franck Rapaport
This network shows the impact of papers produced by Franck Rapaport. 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 Franck Rapaport. The network helps show where Franck Rapaport may publish in the future.
Co-authors
The 25 scholars most cited alongside Franck Rapaport, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 496 | |
| 2 | 2014 | 303 | |
| 3 | 2007 | 162 | |
| 4 | 1960 | 87 | |
| 5 | 2017 | 63 | |
| 6 | 1960 | 61 | |
| 7 | 2017 | 53 | |
| 8 | 1962 | 50 | |
| 9 | 1980 | 49 | |
| 10 | 1969 | 49 | |
| 11 | 2008 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 2015 | 39 | |
| 14 | 2017 | 38 | |
| 15 | 2018 | 37 | |
| 16 | 1968 | 35 | |
| 17 | 1965 | 34 | |
| 18 | 1956 | 32 | |
| 19 | 1972 | 30 | |
| 20 | 1966 | 30 |
About Franck Rapaport
Franck Rapaport is a scholar working on Surgery, Transplantation, Immunology, Hematology and Molecular Biology, having authored 131 papers that have together received 2.5k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (20 papers), Organ and Tissue Transplantation Research (19 papers), Organ Donation and Transplantation (12 papers), Renal Transplantation Outcomes and Treatments (12 papers), Xenotransplantation and immune response (12 papers), Acute Myeloid Leukemia Research (11 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Transplantation (142 citations), Hematology (331 citations), Immunology (513 citations), Genetics (186 citations) and Cancer Research (251 citations). Franck Rapaport has collaborated with scholars based in United States, France and Canada. Frequent co-authors include John Marquis Converse, H. Sherwood Lawrence, Christopher E. Mason, J Dausset, Nicholas D. Socci, Raya Khanin, Mono Pirun, Azra Krek, Doron Betel and Yupu Liang. Their work appears in journals such as Transplantation, Blood, Journal of Clinical Investigation, Cellular Immunology and Experimental Biology and 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.