B Rapoport

109 papers receiving 3.9k citations

Peers

B Rapoport
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Immunology 1.0k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Reproductive Medicine 286
  • Cellular and Molecular Neuroscience 470
Replace J. Paul Banga with:
J. Paul Banga United Kingdom
Pierre P. Roger Belgium
Max Fehlmann France
Lawrence S. Argetsinger United States
Norbert Prenzel Germany
Mark J. Evans United States
Pasi A. Koivisto Finland
Cuong Hoang‐Vu Germany
Emily P. Slater Germany
D. J. Tindall United States
B Rapoport relative to J. Paul Banga United Kingdom J. Paul Banga's profile →
Citations per field
00.5×7.5×
J. Paul Banga · 1×
Citations per year

Countries citing papers authored by B Rapoport

Since Specialization
Citations

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

Fields of papers citing papers by B Rapoport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside B 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 B Rapoport Line = papers co-authored together B Rapoport links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992196
2 1998194
3 1991173
4 1991146
5 1991134
6 1993130
7 1976111
8 1977106
9 1981101
10 1990100
11 199599
12 199483
13 199281
14 199677
15 199376
16 198775
17 198968
18 198265
19 199164
20 199162

About B Rapoport

B Rapoport is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 112 papers that have together received 4.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (54 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), T-cell and B-cell Immunology (19 papers), Neuropeptides and Animal Physiology (15 papers), Hypothalamic control of reproductive hormones (11 papers), Glycosylation and Glycoproteins Research (10 papers), Diabetes and associated disorders (9 papers) and Erythrocyte Function and Pathophysiology (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Immunology (1.0k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Reproductive Medicine (286 citations) and Cellular and Molecular Neuroscience (470 citations). B Rapoport has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Sandra M. McLachlan, Yuji Nagayama, Gregorio D. Chazenbalk, Diego Russo, Sébastiano Filetti, Pui Seto, Harry Wadsworth, S Portolano, Richard Adams and Ralph R. Cavalieri. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Clinical & Experimental Immunology, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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