Basil Rapoport

10.0k citations
220 papers · 7.7k · h-index 48

Impact in

Papers in

Basil Rapoport

219 papers receiving 7.4k citations

Peers

Basil Rapoport
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 4.6k
  • Immunology 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Reproductive Medicine 425
  • Genetics 1.4k
Replace Bernard Rees Smith with:
Bernard Rees Smith United Kingdom
Yuji Nagayama Japan
Sandra M. McLachlan United States
Marian Ludgate United Kingdom
B Rapoport United States
Gregorio D. Chazenbalk United States
Sabine Costagliola Belgium
Motoyasu Saji United States
Jeffrey R. Bender United States
Micheline Misrahi France
Basil Rapoport relative to Bernard Rees Smith United Kingdom Bernard Rees Smith's profile →
Citations per field
00.5×1.6×
Bernard Rees Smith · 1×
Citations per year

Countries citing papers authored by Basil Rapoport

Since Specialization
Citations

This map shows the geographic impact of Basil Rapoport'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 Basil Rapoport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basil Rapoport more than expected).

Fields of papers citing papers by Basil Rapoport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basil Rapoport. 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 Basil Rapoport. The network helps show where Basil Rapoport may publish in the future.

Co-authors

The 25 scholars most cited alongside Basil Rapoport, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Basil Rapoport Line = papers co-authored together Basil Rapoport links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989455
2 1998446
3 2003184
4 2013175
5 2003166
6 2012162
7 1992146
8 1990142
9 2002117
10 1987108
11 2007108
12 1997106
13 1984100
14 200496
15 200595
16 200795
17 200291
18 197490
19 199189
20 199787

About Basil Rapoport

Basil Rapoport is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 220 papers that have together received 7.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (116 papers), Monoclonal and Polyclonal Antibodies Research (53 papers), T-cell and B-cell Immunology (42 papers), Receptor Mechanisms and Signaling (30 papers), Diabetes and associated disorders (27 papers), Neuropeptides and Animal Physiology (27 papers), Erythrocyte Function and Pathophysiology (22 papers) and Glycosylation and Glycoproteins Research (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.6k citations), Immunology (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Reproductive Medicine (425 citations) and Genetics (1.4k citations). Basil Rapoport has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Sandra M. McLachlan, Gregorio D. Chazenbalk, Yuji Nagayama, Chun‐Rong Chen, Juan Carlos Jaume, Pui Seto, Pavel N. Pichurin, Keith D. Kaufman, Jin Guo and Francesco Latrofa. Their work appears in journals such as Endocrinology, Thyroid, The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology and Journal of Biological Chemistry.

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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