H.U. Bryant

1.6k citations
42 papers · 1.3k indexed · h-index 18

Impact in

Papers in

H.U. Bryant

42 papers receiving 1.3k citations

Peers

H.U. Bryant
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 240
  • Genetics 541
  • Endocrinology, Diabetes and Metabolism 288
  • Behavioral Neuroscience 61
  • Cellular and Molecular Neuroscience 279
Replace Kenan Qin with:
Kenan Qin United States
Sylvie Durant France
Henrik Ryberg Sweden
Josep Oriola Spain
Hector F. De Luca United States
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Kuniko Horie Japan
Ronald W. Dudek United States
Kechun Tang United States
H.U. Bryant relative to Kenan Qin United States Kenan Qin's profile →
Citations per field
00.5×4.8×
Kenan Qin · 1×
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
#Work
1 20086
2 200410
3 200429
4 200312
5 200015
6 199913
7 199929
8 199660
9 1996102
10 19969
11 199525
12 199570
13 1995100
14 199537
15 19928
16 19929
17 19892
18 19883
19 19885
20 19674

About H.U. Bryant

H.U. Bryant is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Genetics, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Neuropeptides and Animal Physiology (10 papers), Bone health and osteoporosis research (6 papers), Pain Mechanisms and Treatments (5 papers), Endometriosis Research and Treatment (5 papers), Menopause: Health Impacts and Treatments (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (240 citations), Genetics (541 citations), Endocrinology, Diabetes and Metabolism (288 citations), Behavioral Neuroscience (61 citations) and Cellular and Molecular Neuroscience (279 citations). H.U. Bryant has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include John W. Holaday, Edward W. Bernton, 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, Endocrinology, Bone, Pharmacology Biochemistry and Behavior and Inflammation Research.

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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