Alexander Peregoudov

7 papers receiving 480 citations

Peers

Alexander Peregoudov
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 357
  • Reproductive Medicine 281
  • Public Health, Environmental and Occupational Health 151
  • Molecular Biology 117
  • General Health Professions 89
Replace J. Garza‐Flores with:
J. Garza‐Flores Mexico
Saneal Rajanahally United States
Arthi Thirumalai United States
K. Rager Germany
Francisco Alvarez‐Sánchez Brazil
Panayiotis M. Zavos United States
L. Cheng China
D.M. Spaine Brazil
Kazuki Saito Japan
S.Z. Cekan Sweden
Alexander Peregoudov relative to J. Garza‐Flores Mexico J. Garza‐Flores's profile →
Citations per field
00.5×1.5×2.4×
J. Garza‐Flores · 1×
Citations per year

Countries citing papers authored by Alexander Peregoudov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Peregoudov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Peregoudov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Peregoudov. A scholar is included among the top collaborators of Alexander Peregoudov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Peregoudov. Alexander Peregoudov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 8
2 40
3 9
4 64
5
Effects of testosterone enanthate in normal men: experience from a multicenter contraceptive efficacy study. World Health Organization Task Force on Methods for the Regulation of Male Fertility.
83
6 94
7 203

About Alexander Peregoudov

Alexander Peregoudov is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Microbiology, having authored 7 papers that have together received 501 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Ovarian function and disorders (4 papers) and Male Breast Health Studies (2 papers). The work is most often cited by research in Reproductive Medicine (281 citations), Endocrinology, Diabetes and Metabolism (357 citations) and Public Health, Environmental and Occupational Health (151 citations). Alexander Peregoudov has collaborated with scholars based in Switzerland, United Kingdom and Australia. Frequent co-authors include Timothy M.M. Farley, G. M. H. Waites, David J. Handelsman, Frederick C. W. Wu, C. Alvin Paulsen, Fcw Wu, H.W.G. Baker, Ilpo Huhtaniemi, C. Gottlieb and TMM Farley. Their work appears in journals such as Statistics in Medicine, Fertility and Sterility and International Journal of Gynecology & Obstetrics.

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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