Felix T. Rapaport

89 total papers · 1.2k total citations
63 papers, 891 citations indexed

About

Felix T. Rapaport is a scholar working on Transplantation, Surgery and Immunology. According to data from OpenAlex, Felix T. Rapaport has authored 63 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Transplantation, 24 papers in Surgery and 15 papers in Immunology. Recurrent topics in Felix T. Rapaport's work include Renal Transplantation Outcomes and Treatments (16 papers), Organ Transplantation Techniques and Outcomes (14 papers) and Organ and Tissue Transplantation Research (12 papers). Felix T. Rapaport is often cited by papers focused on Renal Transplantation Outcomes and Treatments (16 papers), Organ Transplantation Techniques and Outcomes (14 papers) and Organ and Tissue Transplantation Research (12 papers). Felix T. Rapaport collaborates with scholars based in United States, France and South Africa. Felix T. Rapaport's co-authors include John Marquis Converse, J Dausset, Wayne C. Waltzer, R Bachvaroff, D Anaise, Robert T. McCluskey, Frederick W. Miller, H. Sherwood Lawrence, A. S. Markowitz and Joseph W. Ferrebee and has published in prestigious journals such as Science, JAMA and Journal of Clinical Investigation.

In The Last Decade

Felix T. Rapaport

56 papers receiving 767 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Felix T. Rapaport 315 249 212 134 111 63 891
J. A. Myburgh 511 1.6× 274 1.1× 167 0.8× 127 0.9× 84 0.8× 74 933
Morris Pj 330 1.0× 232 0.9× 165 0.8× 108 0.8× 78 0.7× 98 834
Monaco Ap 366 1.2× 304 1.2× 165 0.8× 111 0.8× 63 0.6× 69 796
Kent C. Cochrum 343 1.1× 329 1.3× 179 0.8× 260 1.9× 87 0.8× 34 887
Tilney Nl 257 0.8× 236 0.9× 161 0.8× 142 1.1× 44 0.4× 75 702
Antonij Slavčev 327 1.0× 350 1.4× 333 1.6× 64 0.5× 149 1.3× 75 1.0k
J Cicciarelli 460 1.5× 554 2.2× 148 0.7× 249 1.9× 87 0.8× 73 864
William R. Mulley 259 0.8× 341 1.4× 187 0.9× 101 0.8× 46 0.4× 67 884
Katarzyna Kościelska−Kasprzak 406 1.3× 433 1.7× 288 1.4× 84 0.6× 136 1.2× 88 1.0k
Mariano Ferraresso 237 0.8× 370 1.5× 79 0.4× 92 0.7× 101 0.9× 87 953

Countries citing papers authored by Felix T. Rapaport

Since Specialization
Citations

This map shows the geographic impact of Felix T. 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 Felix T. Rapaport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix T. Rapaport more than expected).

Fields of papers citing papers by Felix T. Rapaport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix T. 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 Felix T. Rapaport. The network helps show where Felix T. Rapaport may publish in the future.

Co-authorship network of co-authors of Felix T. Rapaport

This figure shows the co-authorship network connecting the top 25 collaborators of Felix T. Rapaport. A scholar is included among the top collaborators of Felix T. Rapaport 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 Felix T. Rapaport. Felix T. Rapaport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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