Ken Muse

1.9k citations
37 papers · 1.6k · h-index 22

Impact in

Papers in

Ken Muse

36 papers receiving 1.5k citations

Peers

Ken Muse
Comparison fields: 5 of 99
  • Reproductive Medicine 537
  • Obstetrics and Gynecology 294
  • Behavioral Neuroscience 120
  • Public Health, Environmental and Occupational Health 486
  • Physiology 262
Replace P. Fioretti with:
P. Fioretti Italy
Gordana M. Prelević United Kingdom
L. Hallberg Sweden
Franca Fruzzetti Italy
Sven Johan Nillius Sweden
B. de Lignières France
Uwe Mellinger Germany
Rosanna Apa Italy
Cynthia A. Stuenkel United States
Germán Íñiguez Chile
Ken Muse relative to P. Fioretti Italy P. Fioretti's profile →
Citations per field
00.5×2.6×
P. Fioretti · 1×
Citations per year

Countries citing papers authored by Ken Muse

Since Specialization
Citations

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

Fields of papers citing papers by Ken Muse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984225
2 2010183
3 1994116
4
Premenstrual asthma: the effect of estrogen on symptoms, pulmonary function, and beta 2-receptors.
1997109
5 198396
6 199791
7 198279
8 199767
9 201545
10 198345
11 198544
12 198743
13 198243
14 198643
15 200532
16 201032
17 198830
18 199330
19 199029
20 198826

About Ken Muse

Ken Muse is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Immunology and Molecular Biology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (10 papers), Uterine Myomas and Treatments (6 papers), Ovarian function and disorders (5 papers), Menstrual Health and Disorders (4 papers), Reproductive System and Pregnancy (4 papers), Reproductive Biology and Fertility (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Reproductive Medicine (537 citations), Obstetrics and Gynecology (294 citations), Behavioral Neuroscience (120 citations), Public Health, Environmental and Occupational Health (486 citations) and Physiology (262 citations). Ken Muse has collaborated with scholars based in United States and Sweden. Frequent co-authors include Samuel S.C. Yen, Lori A. Futterman, Nancy S. Cetel, Mary H.H. Chandler, Emery A. Wilson, Thomas E. Curry, William H. St. Clair, Terry D. Oberley, Edward E. Wallach and Andrea S. Lukes. Their work appears in journals such as Fertility and Sterility, The Journal of Clinical Endocrinology & Metabolism, Endocrinology, American Journal of Obstetrics and Gynecology and Obstetrics and Gynecology.

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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