René J. Duquesnoy
- Transplantation top 0.02%
- Surgery top 0.5%
- Immunology top 0.5%
- Epidemiology top 2%
- Hematology top 1%
- Co-authors
- Marilyn MarrariAdriana ZeeviFrans H.J. ClaasBartley P. GriffithJohn J. FungThomas E. StarzlIlias I.N. DoxiadisMedhat Askar
- Topics
- T-cell and B-cell Immunology (87 papers)Renal Transplantation Outcomes and Treatments (76 papers)Transplantation: Methods and Outcomes (42 papers)
- Cited by
- TransplantationImmunologyHepatology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesThe Journal of Experimental Medicine
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
René J. Duquesnoy
233 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 119
- Transplantation 3.9k
- Surgery 3.6k
- Immunology 3.0k
- Epidemiology 1.4k
- Hematology 914
Countries citing papers authored by René J. Duquesnoy
This map shows the geographic impact of René J. Duquesnoy'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 René J. Duquesnoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René J. Duquesnoy more than expected).
Fields of papers citing papers by René J. Duquesnoy
This network shows the impact of papers produced by René J. Duquesnoy. 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 René J. Duquesnoy. The network helps show where René J. Duquesnoy may publish in the future.
Co-authorship network of co-authors of René J. Duquesnoy
This figure shows the co-authorship network connecting the top 25 collaborators of René J. Duquesnoy. A scholar is included among the top collaborators of René J. Duquesnoy 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 René J. Duquesnoy. René J. Duquesnoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 24 | |
| 3 | 19 | |
| 4 | 43 | |
| 5 | 4 | |
| 6 | 49 | |
| 7 | 56 | |
| 8 | Human monoclonal antibody reactivity with HLA class I epitopes defined by pairs of mismatched eplets and self eplets | 2 |
| 9 | 35 | |
| 10 | 46 | |
| 11 | 30 | |
| 12 | 91 | |
| 13 | HLA MATCHMAKER: A MOLECULARLY BASED ALGORITHM FOR HISTOCOMPATIBILITY DETERMINATION | 90 |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 348 | |
| 17 | 3 | |
| 18 | 27 | |
| 19 | 65 | |
| 20 | Studies of the relation of thymus-dependent lymphoid system and pituitary gland. Abstr. | 1 |
About René J. Duquesnoy
René J. Duquesnoy is a scholar working on Transplantation, Immunology and Hematology, having authored 236 papers that have together received 8.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (87 papers), Renal Transplantation Outcomes and Treatments (76 papers) and Transplantation: Methods and Outcomes (42 papers). The work is most often cited by research in Transplantation (3.9k citations), Immunology (3.0k citations) and Hepatology (791 citations). René J. Duquesnoy has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Marilyn Marrari, Adriana Zeevi, Frans H.J. Claas, Bartley P. Griffith, John J. Fung, Thomas E. Starzl, Ilias I.N. Doxiadis, Medhat Askar, Robert L. Hardesty and Samuel A. Yousem. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.