William R. Huckle

3.5k citations
66 papers · 2.9k indexed · h-index 29

William R. Huckle

66 papers receiving 2.8k citations

Peers

William R. Huckle
Comparison fields: 5 of 118
  • Reproductive Medicine 564
  • Endocrinology, Diabetes and Metabolism 390
  • Molecular Biology 1.4k
  • Immunology and Allergy 117
  • Cancer Research 237
Replace Richard M. Rohan with:
Richard M. Rohan United States
K L Ramachandran United States
Masato Kobori Japan
Li‐Yuan Yu‐Lee United States
Takahiko Hara Japan
Josée Hamelin Canada
Hong Yin China
Jean‐Dominique Vassalli Switzerland
Orest W. Blaschuk Canada
Mohamed Elalfy Canada
William R. Huckle relative to Richard M. Rohan United States Richard M. Rohan's profile →
Citations per field
00.5×1.5×
Richard M. Rohan · 1×
Citations per year

Countries citing papers authored by William R. Huckle

Since Specialization
Citations

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

Fields of papers citing papers by William R. Huckle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Huckle. 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 William R. Huckle. The network helps show where William R. Huckle may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20222
3 202125
4 201924
5 201617
6 201224
7 201111
8 200710
9 200712
10 200618
11 200619
12 200619
13 200621
14 200393
15 200313
16 199541
17 199021
18 199031
19 198737
20 198791

About William R. Huckle

William R. Huckle is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (12 papers), Hypothalamic control of reproductive hormones (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Ovarian function and disorders (7 papers), Receptor Mechanisms and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Reproductive Biology and Fertility (5 papers) and Veterinary Oncology Research (5 papers). The work is most often cited by research in Reproductive Medicine (564 citations), Endocrinology, Diabetes and Metabolism (390 citations) and Molecular Biology (1.4k citations). William R. Huckle has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include P. Michael Conn, Craig A. McArdle, H. Shelton Earp, William V. Andrews, Ruth Dy, Allen H. Goldstein, Richard Kendall, Kenneth A. Thomas, Michelle Kreke and Xianzhi Mao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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