Eisuke P. Murono

1.6k citations
69 papers · 1.3k · h-index 23

Impact in

Papers in

Eisuke P. Murono

69 papers receiving 1.3k citations

Peers

Eisuke P. Murono
Comparison fields: 5 of 93
  • Reproductive Medicine 495
  • Endocrinology, Diabetes and Metabolism 521
  • Behavioral Neuroscience 65
  • Health, Toxicology and Mutagenesis 260
  • Cell Biology 169
Replace Karen H. Hales with:
Karen H. Hales United States
D. C. Irby Australia
Youngah Jo United States
P. Govindarajulu India
Douglas M. Stocco United States
Daniel J. Hryb United States
Barbara A. Murry United States
T. Vanha‐Perttula Finland
K Nozu United States
Marie-Lise Thieulant France
Eisuke P. Murono relative to Karen H. Hales United States Karen H. Hales's profile →
Citations per field
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Karen H. Hales · 1×
Citations per year

Countries citing papers authored by Eisuke P. Murono

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke P. Murono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eisuke P. Murono. 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 Eisuke P. Murono. The network helps show where Eisuke P. Murono may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977111
2 197985
3 198165
4 200147
5 198147
6
Gossypol inhibits testicular steroidogenesis.
198146
7 198045
8 200543
9 198039
10 199936
11 197635
12 199430
13 200729
14 199027
15 198027
16 200026
17 197925
18 198025
19 199024
20 198223

About Eisuke P. Murono

Eisuke P. Murono is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Cell Biology and Genetics, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (33 papers), Sperm and Testicular Function (20 papers), Estrogen and related hormone effects (13 papers), Effects and risks of endocrine disrupting chemicals (12 papers), Aldose Reductase and Taurine (10 papers), Sexual Differentiation and Disorders (8 papers), Ovarian function and disorders (7 papers) and Hormonal Regulation and Hypertension (6 papers). The work is most often cited by research in Reproductive Medicine (495 citations), Endocrinology, Diabetes and Metabolism (521 citations), Behavioral Neuroscience (65 citations), Health, Toxicology and Mutagenesis (260 citations) and Cell Biology (169 citations). Eisuke P. Murono has collaborated with scholars based in United States. Frequent co-authors include Howard R. Nankin, Anita H. Payne, Raymond C. Derk, T. Lin, J. Osterman, Tu Lin, Juraj Osterman, Robert P. Kelch, Yucel Akgul and Patricia B. Coulson. Their work appears in journals such as Reproductive Toxicology, European Journal of Endocrinology, Steroids, Molecular and Cellular Endocrinology and Biochemical and Biophysical Research Communications.

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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