B D Weintraub

4.9k citations
77 papers · 4.4k · h-index 40

Impact in

Papers in

B D Weintraub

75 papers receiving 4.0k citations

Peers

B D Weintraub
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 3.0k
  • Reproductive Medicine 921
  • Behavioral Neuroscience 121
  • Genetics 943
  • Molecular Biology 1.4k
Replace Jean‐Marie Gasc with:
Jean‐Marie Gasc France
William M. Wood United States
Ameae M. Walker United States
Robert E. Fellows United States
Masanobu Yamada Japan
Sietse Mosselman Netherlands
Bahiru Gametchu United States
Chetana M. Revankar United States
Margaret A. Shupnik United States
Mariusz W. Szkudlinski United States
B D Weintraub relative to Jean‐Marie Gasc France Jean‐Marie Gasc's profile →
Citations per field
00.5×2×2.5×
Jean‐Marie Gasc · 1×
Citations per year

Countries citing papers authored by B D Weintraub

Since Specialization
Citations

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

Fields of papers citing papers by B D Weintraub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976281
2 1991228
3 1975186
4 1990164
5 1988156
6 1971142
7 1987130
8 1991117
9 1991113
10 1989112
11 1973110
12 1993109
13 1995106
14 1980103
15 1991100
16 198897
17 199197
18 197495
19 197194
20 199385

About B D Weintraub

B D Weintraub is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 4.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (44 papers), Growth Hormone and Insulin-like Growth Factors (37 papers), Hypothalamic control of reproductive hormones (19 papers), Estrogen and related hormone effects (14 papers), Glycosylation and Glycoproteins Research (10 papers), Pituitary Gland Disorders and Treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.0k citations), Reproductive Medicine (921 citations), Behavioral Neuroscience (121 citations), Genetics (943 citations) and Molecular Biology (1.4k citations). B D Weintraub has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Fredric Edward Wondisford, John H. McClaskey, Sally Radovick, Farahe Maloof, Saul W. Rosen, M C Gershengorn, Neil Gesundheit, E. Chester Ridgway, Archibald James Mixson and Stephen J. Usala. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Molecular Endocrinology.

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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