William W. Wright

78 papers receiving 2.8k citations

Peers

William W. Wright
Comparison fields: 5 of 93
  • Reproductive Medicine 1.9k
  • Physiology 59
  • Endocrinology, Diabetes and Metabolism 249
  • Behavioral Neuroscience 24
  • Cancer Research 101
Replace Kenneth Purvis with:
Kenneth Purvis Norway
Felix Neumann Germany
Charles A. Blake United States
Barbara Attardi United States
Joëlle Cohen-Tannoudji France
Neal A. Musto United States
Patricia Ann Johnson United States
G. D. Niswender United States
Luciano Debéljuk United States
Philip S. LaPolt United States
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Countries citing papers authored by William W. Wright

Since Specialization
Citations

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

Fields of papers citing papers by William W. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008135
2 1975130
3 2004123
4 1998118
5 1977115
6 2005114
7 2003106
8 199397
9 198395
10 199190
11 198187
12 197586
13 199085
14 198383
15 199378
16 198375
17 201172
18 200351
19 200449
20 200346

About William W. Wright

William W. Wright is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Analytical Chemistry, Agronomy and Crop Science and Molecular Biology, having authored 81 papers that have together received 3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (61 papers), Hormonal and reproductive studies (10 papers), Glycosylation and Glycoproteins Research (5 papers), Analytical Methods in Pharmaceuticals (4 papers), Hypothalamic control of reproductive hormones (4 papers), Reproductive Biology and Fertility (3 papers), Milk Quality and Mastitis in Dairy Cows (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Reproductive Medicine (1.9k citations), Physiology (59 citations), Endocrinology, Diabetes and Metabolism (249 citations), Behavioral Neuroscience (24 citations) and Cancer Research (101 citations). William W. Wright has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Barry R. Zirkin, Arthur I. Frankel, EDWARD J. MOCK, Sonya Zabludoff, Neal A. Musto, Jennie P. Mather, Freya Kamel, C. Wayne Bardin, Joël H. Shaper and A. Wali Karzai. Their work appears in journals such as Biology of Reproduction, Endocrinology, Journal of Andrology, Annals of the New York Academy of Sciences and Proceedings of the National Academy of Sciences.

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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