William E. Schutzer

27 papers receiving 947 citations

Peers

William E. Schutzer
Comparison fields: 5 of 90
  • Behavioral Neuroscience 93
  • Equine 21
  • Nephrology 77
  • Biochemistry 81
  • Endocrinology, Diabetes and Metabolism 165
Replace Maximilian Bielohuby with:
Maximilian Bielohuby Germany
N S Jiang United States
A.L. Gimeno Argentina
Suhayla Mukaddam‐Daher Canada
Marta S. Smith United States
Gozoh Tsujimoto Japan
Mitsuru Nishiyama Japan
Radmila Kancheva Czechia
Yehuda Gutman Israel
Ruth Best United Kingdom
William E. Schutzer relative to Maximilian Bielohuby Germany Maximilian Bielohuby's profile →
Citations per field
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Citations per year

Countries citing papers authored by William E. Schutzer

Since Specialization
Citations

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

Fields of papers citing papers by William E. Schutzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001172
2 1998144
3 199986
4 200672
5 200751
6 202050
7 200341
8 202033
9 202132
10 200132
11 200827
12 202425
13 200724
14 200422
15 199922
16 199617
17 199717
18 199617
19 200616
20 201115

About William E. Schutzer

William E. Schutzer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 962 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Nitric Oxide and Endothelin Effects (6 papers), Hormonal Regulation and Hypertension (5 papers), Renin-Angiotensin System Studies (4 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Stress Responses and Cortisol (3 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Behavioral Neuroscience (93 citations), Equine (21 citations), Nephrology (77 citations), Biochemistry (81 citations) and Endocrinology, Diabetes and Metabolism (165 citations). William E. Schutzer has collaborated with scholars based in United States and Czechia. Frequent co-authors include Scott L. Mader, John F. Reed, Cynthia L. Bethea, Chrisana Gundlah, Melanie Pecins-Thompson, T Oyama, Jessie N. Lindsley, Sharon Anderson, Radko Komers and Zhaozeng Lu. Their work appears in journals such as Drug and Alcohol Dependence, American Journal of Physiology-Heart and Circulatory Physiology, The Journals of Gerontology Series A, Journal of Pharmacology and Experimental Therapeutics and Neuropharmacology.

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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