Peter Eggena

3.8k citations
122 papers · 3.3k · h-index 31

Impact in

Papers in

Peter Eggena

119 papers receiving 2.9k citations

Peers

Peter Eggena
Comparison fields: 5 of 110
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Cardiology and Cardiovascular Medicine 941
  • Reproductive Medicine 199
  • Nephrology 162
  • Genetics 593
Replace H. Vierhapper with:
H. Vierhapper Austria
F. Anders Karlsson Sweden
Kinori Kosáka Japan
Ken‐ichi Aihara Japan
Marta Letizia Hribal Italy
K. Bridget Brosnihan United States
Yiu-Fai Chen United States
Paolo Sbraccia Italy
Jeffrey M P Holly United Kingdom
Hans Häring Germany
Peter Eggena relative to H. Vierhapper Austria H. Vierhapper's profile →
Citations per field
00.5×1.5×2.0×
H. Vierhapper · 1×
Citations per year

Countries citing papers authored by Peter Eggena

Since Specialization
Citations

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

Fields of papers citing papers by Peter Eggena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Eggena. 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 Peter Eggena. The network helps show where Peter Eggena may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986406
2 1982275
3 1980169
4 1993134
5 1983122
6 1990118
7 1983104
8
Biologic effects of various doses of ethinyl estradiol in postmenopausal women.
198284
9 199171
10 197470
11 199067
12 199159
13 199657
14 197645
15 198445
16 198242
17 200441
18 199340
19 198640
20 198039

About Peter Eggena

Peter Eggena is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Pharmacology, having authored 122 papers that have together received 3.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (43 papers), Hormonal Regulation and Hypertension (40 papers), Receptor Mechanisms and Signaling (21 papers), Blood Pressure and Hypertension Studies (11 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Menopause: Health Impacts and Treatments (7 papers), Estrogen and related hormone effects (6 papers) and Electrolyte and hormonal disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cardiology and Cardiovascular Medicine (941 citations), Reproductive Medicine (199 citations), Nephrology (162 citations) and Genetics (593 citations). Peter Eggena has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Jack Barrett, Mohinder P. Sambhi, Michael L. Tuck, Michael S. Golub, David R. Meldrum, Howard L. Judd, Rogerio A. Løbo, Jerome M. Hershman, Kerry B. Clegg and Paul F. Brenner. Their work appears in journals such as Hypertension, Journal of Hypertension, The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Endocrinology and Metabolism and Fertility and Sterility.

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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