A. EUGENE PEKARY

3.7k citations
109 papers · 3.0k indexed · h-index 31

Impact in

Papers in

A. EUGENE PEKARY

109 papers receiving 2.8k citations

Peers

A. EUGENE PEKARY
Comparison fields: 5 of 118
  • Behavioral Neuroscience 400
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Endocrine and Autonomic Systems 382
  • Reproductive Medicine 440
  • Cellular and Molecular Neuroscience 805
Replace Nicole Gallo‐Payet with:
Nicole Gallo‐Payet Canada
John S. Kizer United States
Victor S. Fang United States
Hiroshi Ibayashi Japan
Donald P. Island United States
Frederick A.O. Mendelsohn Australia
M. Ian Phillips United States
Charles S. Hollander United States
Ludwik K. Malendowicz Italy
Michel Grino France
A. EUGENE PEKARY relative to Nicole Gallo‐Payet Canada Nicole Gallo‐Payet's profile →
Citations per field
00.5×1.5×1.8×
Nicole Gallo‐Payet · 1×
Citations per year

Countries citing papers authored by A. EUGENE PEKARY

Since Specialization
Citations

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

Fields of papers citing papers by A. EUGENE PEKARY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. EUGENE PEKARY. 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 A. EUGENE PEKARY. The network helps show where A. EUGENE PEKARY may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201515
2 201010
3 201017
4 200816
5 200811
6 200714
7 200615
8 200512
9 200492
10 200125
11 199811
12 199712
13 199426
14 199334
15 199311
16 19912
17 198923
18 19889
19 198829
20 198743

About A. EUGENE PEKARY

A. EUGENE PEKARY is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (49 papers), Neuropeptides and Animal Physiology (34 papers), Growth Hormone and Insulin-like Growth Factors (25 papers), Hypothalamic control of reproductive hormones (22 papers), Stress Responses and Cortisol (18 papers), Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (9 papers) and Hormonal and reproductive studies (8 papers). The work is most often cited by research in Behavioral Neuroscience (400 citations), Endocrinology, Diabetes and Metabolism (1.4k citations), Endocrine and Autonomic Systems (382 citations), Reproductive Medicine (440 citations) and Cellular and Molecular Neuroscience (805 citations). A. EUGENE PEKARY has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Jerome M. Hershman, Albert Sattin, DONAL C. PARKER, John E. Morley, Carol J. Mirell, Xuan-Ping Pang, M Azukizawa, ALLAN W. REED, J M Hershman and Robert L. Lloyd. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Peptides, Clinical Chemistry, Endocrinology and European Journal of Endocrinology.

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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