René J. Duquesnoy

10.7k total citations
236 papers, 8.3k citations indexed

About

René J. Duquesnoy is a scholar working on Immunology, Transplantation and Surgery. According to data from OpenAlex, René J. Duquesnoy has authored 236 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Immunology, 79 papers in Transplantation and 68 papers in Surgery. Recurrent topics in René J. Duquesnoy's work include T-cell and B-cell Immunology (87 papers), Renal Transplantation Outcomes and Treatments (76 papers) and Transplantation: Methods and Outcomes (42 papers). René J. Duquesnoy is often cited by papers focused on T-cell and B-cell Immunology (87 papers), Renal Transplantation Outcomes and Treatments (76 papers) and Transplantation: Methods and Outcomes (42 papers). René J. Duquesnoy collaborates with scholars based in United States, Netherlands and United Kingdom. René J. Duquesnoy's 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 and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

René J. Duquesnoy

233 papers receiving 8.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
René J. Duquesnoy United States 55 3.9k 3.6k 3.0k 1.4k 914 236 8.3k
Denis Glotz France 50 6.0k 1.5× 3.8k 1.0× 2.2k 0.8× 1.2k 0.9× 550 0.6× 206 9.0k
Henri Kreis France 55 4.7k 1.2× 3.2k 0.9× 1.2k 0.4× 2.4k 1.7× 448 0.5× 217 10.1k
Thalachallour Mohanakumar United States 52 2.8k 0.7× 4.9k 1.3× 2.7k 0.9× 1.2k 0.9× 475 0.5× 310 9.2k
Howard M. Gebel United States 46 3.1k 0.8× 2.3k 0.6× 2.2k 0.8× 615 0.4× 594 0.6× 171 6.1k
J. Richard Thistlethwaite United States 46 1.9k 0.5× 4.8k 1.3× 1.9k 0.6× 840 0.6× 263 0.3× 190 8.3k
Heinz Regele Austria 45 3.4k 0.9× 2.4k 0.7× 1.8k 0.6× 689 0.5× 295 0.3× 188 6.9k
Peter J. Friend United Kingdom 55 3.3k 0.8× 7.0k 1.9× 1.0k 0.3× 1.4k 1.0× 311 0.3× 314 10.2k
Ashley Vo United States 40 3.6k 0.9× 2.0k 0.6× 1.8k 0.6× 759 0.5× 703 0.8× 129 5.7k
William E. Braun United States 39 1.2k 0.3× 1.4k 0.4× 1.4k 0.5× 549 0.4× 608 0.7× 164 6.2k
Hiroshi Toma Japan 41 2.0k 0.5× 2.0k 0.6× 1.2k 0.4× 521 0.4× 332 0.4× 315 5.8k

Countries citing papers authored by René J. Duquesnoy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Duquesnoy, René J.. (2016). Should epitope-based HLA compatibility be used in the kidney allocation system?. Human Immunology. 78(1). 24–29. 19 indexed citations
2.
Duquesnoy, René J., et al.. (2013). Structural aspects of HLA class I epitopes reacting with human monoclonal antibodies in Ig-binding, C1q-binding and lymphocytotoxicity assays. Human Immunology. 74(10). 1271–1279. 56 indexed citations
3.
Duquesnoy, René J., et al.. (2011). Human monoclonal antibody reactivity with HLA class I epitopes defined by pairs of mismatched eplets and self eplets. Data Archiving and Networked Services (DANS). 2 indexed citations
4.
Duquesnoy, René J.. (2011). Humoral alloimmunity in transplantation: relevance of HLA epitope antigenicity and immunogenicity. SHILAP Revista de lepidopterología. 2. 59–59. 35 indexed citations
5.
Hadaya, Karine, René J. Duquesnoy, Sylvie Ferrari‐Lacraz, et al.. (2011). De Novo Anti-HLA Antibody After Pandemic H1N1 and Seasonal Influenza Immunization in Kidney Transplant Recipients. American Journal of Transplantation. 11(8). 1727–1733. 115 indexed citations
6.
7.
Adeyi, Oyedele, Alin Girnita, Marilyn Marrari, et al.. (2005). Serum analysis after transplant nephrectomy reveals restricted antibody specificity patterns against structurally defined HLA class I mismatches. Transplant Immunology. 14(1). 53–62. 91 indexed citations
8.
Duquesnoy, René J.. (2003). HLA MATCHMAKER: A MOLECULARLY BASED ALGORITHM FOR HISTOCOMPATIBILITY DETERMINATION. SHILAP Revista de lepidopterología. 90 indexed citations
9.
10.
Randhawa, Parmjeet, Marta I. Minervini, René J. Duquesnoy, et al.. (2000). BIOPSY OF MARGINAL DONOR KIDNEYS: CORRELATION OF HISTOLOGIC FINDINGS WITH GRAFT DYSFUNCTION1. Transplantation. 69(7). 1352–1357. 115 indexed citations
11.
Duquesnoy, René J.. (1996). Stress protein research in transplantation. Cell Stress and Chaperones. 1(1). 2–2. 2 indexed citations
12.
Bando, Ko, Irvin L. Paradis, Shari L. Similo, et al.. (1995). Obliterative bronchiolitis after lung and heart-lung transplantation. Journal of Thoracic and Cardiovascular Surgery. 110(1). 4–14. 348 indexed citations
13.
Moliterno, Ricardo Alberto, L A Valdivia, Fan Pan, & René J. Duquesnoy. (1995). HEAT SHOCK PROTEIN REACTIVITY OF LYMPHOCYTES ISOLATED FROM HETEROTOPIC RAT CARDIAC ALLOGRAFTS1,2. Transplantation. 59(4). 598–604. 1 indexed citations
14.
Kaufman, Christina L., Adriana Zeevi, Tony R. Zerbe, & René J. Duquesnoy. (1992). IL-2-AUGMENTED PRIMED-LYMPHOCYTE TEST RESPONSES OF LYMPHOCYTES CULTURED FROM ENDOMYOCARDIAL BIOPSIES FROM HEART TRANSPLANT PATIENTS. Transplantation. 54(6). 1111–1111. 3 indexed citations
15.
Keenan, Robert J., Mark Lega, J. Stephen Dummer, et al.. (1991). CYTOMEGALOVIRUS SEROLOGIC STATUS AND POSTOPERATIVE INFECTION CORRELATED WITH RISK OF DEVELOPING CHRONIC REJECTION AFTER PULMONARY TRANSPLANTATION. Transplantation. 51(2). 433–437. 169 indexed citations
16.
Starzl, Thomas E., Anthony J. Demetris, Satoru Todo, et al.. (1989). Evidence for hyperacute rejection of human liver grafts: The case of the canary kidneys.. PubMed. 3. 37–45. 67 indexed citations
17.
Fung, John J., Adriana Zeevi, Thomas E. Starzl, et al.. (1986). Functional characterization of infiltrating T lymphocytes in human hepatic allografts. Human Immunology. 16(2). 182–199. 60 indexed citations
18.
Karr, Robert W., et al.. (1984). The complexity of HLA-DS molecules. A homozygous cell line expresses multiple HLA-DS alpha chains.. The Journal of Experimental Medicine. 159(5). 1512–1531. 27 indexed citations
19.
Tanigaki, Nobutaka, Roberto Tosi, René J. Duquesnoy, & Giovanni Battista Ferrara. (1983). Three Ia species with different structures and alloantigenic determinants in an HLA-homozygous cell line.. The Journal of Experimental Medicine. 157(1). 231–247. 65 indexed citations
20.
Duquesnoy, René J., et al.. (1969). Studies of the relation of thymus-dependent lymphoid system and pituitary gland. Abstr.. The Mouseion at the JAXlibrary (Jackson Laboratory). 26(11). 376–31. 1 indexed citations

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.

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