H.U. Bryant

42 papers receiving 1.3k citations

Peers

H.U. Bryant
Comparison fields: 5 of 90
  • Orthopedics and Sports Medicine 217
  • Behavioral Neuroscience 59
  • Genetics 471
  • Endocrinology, Diabetes and Metabolism 257
  • Cellular and Molecular Neuroscience 266
Replace Borja Guerra with:
Borja Guerra Spain
Kenan Qin United States
Marie K. Lindberg Sweden
Sylvie Durant France
Josep Oriola Spain
Lihong Peng China
Sarah H. Lindsey United States
Kentaro Yamada Japan
Yalda Jamshidi United Kingdom
Christian Frøsig Denmark
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Citations per field
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Citations per year

Countries citing papers authored by H.U. Bryant

Since Specialization
Citations

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

Fields of papers citing papers by H.U. Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.U. Bryant. 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 H.U. Bryant. The network helps show where H.U. Bryant may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998142
2 1994128
3 1988112
4 1996102
5 1995100
6 199198
7 199086
8 199571
9 199660
10 199537
11 199730
12 200429
13 199929
14 199628
15 198826
16 199525
17 199123
18 198919
19 199917
20 200015

About H.U. Bryant

H.U. Bryant is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), Neuropeptides and Animal Physiology (10 papers), Bone health and osteoporosis research (6 papers), Menopause: Health Impacts and Treatments (5 papers), Pain Mechanisms and Treatments (5 papers), Endometriosis Research and Treatment (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (217 citations), Behavioral Neuroscience (59 citations), Genetics (471 citations), Endocrinology, Diabetes and Metabolism (257 citations) and Cellular and Molecular Neuroscience (266 citations). H.U. Bryant has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Edward W. Bernton, John W. Holaday, W. Dere, Roger E. Roudebush, Masahiko Sato, Charles H. Turner, Masahiko Sato, David E. Magee, Lorri L. Short and Julie Kenner. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Bone, Endocrinology, Pharmacology Biochemistry and Behavior and Experimental Biology and Medicine.

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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