A E Pekary

1.1k citations
16 papers · 864 · h-index 15

Impact in

Papers in

A E Pekary

16 papers receiving 823 citations

Peers

A E Pekary
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 493
  • Reproductive Medicine 110
  • Obstetrics and Gynecology 76
  • Endocrine and Autonomic Systems 50
  • Behavioral Neuroscience 21
Replace Xuan-Ping Pang with:
Xuan-Ping Pang United States
Fulgencio Gómez Switzerland
J. R. Bierich Germany
Hisato Tada Japan
Itsuro Hibi Japan
Stefano Borgato Italy
K Zuppinger Switzerland
Rhys John United Kingdom
Ada R. Wolfsen United States
Juliane Léger France
A E Pekary relative to Xuan-Ping Pang United States Xuan-Ping Pang's profile →
Citations per field
00.5×3.8×
Xuan-Ping Pang · 1×
Citations per year

Countries citing papers authored by A E Pekary

Since Specialization
Citations

This map shows the geographic impact of A E 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 E 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 E Pekary more than expected).

Fields of papers citing papers by A E Pekary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside A E 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 E Pekary Line = papers co-authored together A E Pekary links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1992199
2 1975139
3 1989103
4 199877
5 199355
6 198155
7 199442
8 198938
9 199230
10 199029
11 199728
12 197921
13 199217
14 199516
15 200114
16 20041

About A E Pekary

A E Pekary is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Oncology, having authored 16 papers that have together received 864 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Hypothalamic control of reproductive hormones (2 papers), Ion channel regulation and function (2 papers), Gestational Trophoblastic Disease Studies (2 papers), Cancer-related Molecular Pathways (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (493 citations), Reproductive Medicine (110 citations), Obstetrics and Gynecology (76 citations), Endocrine and Autonomic Systems (50 citations) and Behavioral Neuroscience (21 citations). A E Pekary has collaborated with scholars based in United States. Frequent co-authors include Jerome M. Hershman, Xuan-Ping Pang, T. Murphy Goodwin, Albert F. Parlow, Martin Montoro, Jorge H. Mestman, Burt M. Sharp, Manabu Yoshimura, Theodore J. Hahn and Carol J. Mirell. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Peptides, European Journal of Endocrinology and Journal of Interferon & Cytokine Research.

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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