Donald S. Layne

1.7k citations
81 papers · 1.3k · h-index 21

Impact in

Papers in

Donald S. Layne

80 papers receiving 1.1k citations

Peers

Donald S. Layne
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 370
  • Genetics 443
  • Pharmacology 116
  • Behavioral Neuroscience 34
  • Animal Science and Zoology 94
Replace G. W. Oertel with:
G. W. Oertel Germany
B. P. Lisboa Sweden
J. van der Vies Netherlands
K.I. Williams United Kingdom
Shlomo Burstein United States
S. Lieberman United States
Kazutake Shimada Japan
Enrico Forchielli United States
C W Welsch United States
Kouwa Yamashita Japan
Donald S. Layne relative to G. W. Oertel Germany G. W. Oertel's profile →
Citations per field
00.5×1.5×2.0×
G. W. Oertel · 1×
Citations per year

Countries citing papers authored by Donald S. Layne

Since Specialization
Citations

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

Fields of papers citing papers by Donald S. Layne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald S. Layne. 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 Donald S. Layne. The network helps show where Donald S. Layne may publish in the future.

Co-authors

The 25 scholars most cited alongside Donald S. Layne, 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 Donald S. Layne Line = papers co-authored together Donald S. Layne 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 1968152
2 196187
3 195960
4 196153
5 197541
6 195839
7 196539
8 197037
9 196437
10 195835
11 196634
12 196234
13 196833
14 196333
15 196630
16 197128
17 196628
18 196928
19 197227
20 196724

About Donald S. Layne

Donald S. Layne is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Physiology, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (49 papers), Steroid Chemistry and Biochemistry (24 papers), Hormonal and reproductive studies (18 papers), Hormonal Regulation and Hypertension (8 papers), Inflammatory mediators and NSAID effects (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Animal Nutrition and Physiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (370 citations), Genetics (443 citations), Pharmacology (116 citations), Behavioral Neuroscience (34 citations) and Animal Science and Zoology (94 citations). Donald S. Layne has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Denis G. Williamson, J. F. Tait, K.I. Williams, Delwood C. Collins, Christopher Longcope, Gregory Pincus, Rashad Y. Kirdani, Sumner Burstein, Rosalind S. Labow and T Gołab. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Steroids, Nature and The Journal of Clinical Endocrinology & Metabolism.

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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