Peter Šutovský

232 papers receiving 9.0k citations

Peers

Peter Šutovský
Comparison fields: 5 of 137
  • Reproductive Medicine 4.6k
  • Public Health, Environmental and Occupational Health 4.4k
  • Genetics 2.2k
  • Aging 111
  • Molecular Biology 3.9k
Replace Atsuo Ogura with:
Atsuo Ogura Japan
J. Anton Grootegoed Netherlands
Moira K. O’Bryan Australia
Edward M. Eddy United States
George L. Gerton United States
Qing‐Yuan Sun China
Jonathan Van Blerkom United States
Martin Dym United States
Henry J. Leese United Kingdom
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Citations per year

Countries citing papers authored by Peter Šutovský

Since Specialization
Citations

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

Fields of papers citing papers by Peter Šutovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999479
2 2000319
3 2004244
4 2003241
5 2001238
6 1997183
7 1999176
8 1999174
9 1996166
10 2007148
11 2003141
12 2016128
13 2003128
14 1998112
15 2000107
16 2004106
17 2011106
18 1993105
19 2001105
20 2018100

About Peter Šutovský

Peter Šutovský is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Molecular Biology, Genetics and Cell Biology, having authored 240 papers that have together received 9.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (139 papers), Sperm and Testicular Function (132 papers), Ubiquitin and proteasome pathways (42 papers), Animal Genetics and Reproduction (31 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (24 papers), Renal and related cancers (17 papers), Epigenetics and DNA Methylation (14 papers) and Toxoplasma gondii Research Studies (14 papers). The work is most often cited by research in Reproductive Medicine (4.6k citations), Public Health, Environmental and Occupational Health (4.4k citations), Genetics (2.2k citations), Aging (111 citations) and Molecular Biology (3.9k citations). Peter Šutovský has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Gerald Schatten, Miriam Sutovsky, Richard Oko, João Ramalho‐Santos, Gaurishankar Manandhar, Ricardo D. Moreno, Calvin Simerly, Tanja Dominko, Young‐Joo Yi and Karl Kerns. Their work appears in journals such as Biology of Reproduction, Cell and Tissue Research, Reproduction, Systems Biology in Reproductive Medicine and Developmental Biology.

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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