Peter Chrenek

180 papers receiving 1.9k citations

Peers

Peter Chrenek
Comparison fields: 5 of 115
  • Reproductive Medicine 549
  • Animal Science and Zoology 273
  • Public Health, Environmental and Occupational Health 602
  • Genetics 532
  • Agronomy and Crop Science 177
Replace Pascal Froment with:
Pascal Froment France
Noboru MANABE Japan
J. T. Bridgham United States
Gongshe Yang China
Xiang‐Shun Cui South Korea
Katja J. Teerds Netherlands
Alexander V. Makarevich Slovakia
Maria Elena Dell’Aquila Italy
W.C. Buhi United States
Peter Chrenek relative to Pascal Froment France Pascal Froment's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Chrenek

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chrenek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010235
2 2000119
3 200158
4 199746
5 200045
6 201741
7 200541
8 200740
9
Comparison of different evaluation chambers for analysis of rabbit spermatozoa motility parameters using CASA system
200836
10 200833
11 201731
12
Simultaneous analysis of bovine growth hormone and prolactin alleles by multiplex PCR and RFLP
199830
13 200829
14 200728
15 201028
16 201728
17 200727
18 201127
19 200726
20 200724

About Peter Chrenek

Peter Chrenek is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine, Molecular Biology and Animal Science and Zoology, having authored 194 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (91 papers), Sperm and Testicular Function (57 papers), Animal Genetics and Reproduction (57 papers), Rabbits: Nutrition, Reproduction, Health (39 papers), Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (17 papers), Reproductive Physiology in Livestock (15 papers) and Virus-based gene therapy research (13 papers). The work is most often cited by research in Reproductive Medicine (549 citations), Animal Science and Zoology (273 citations), Public Health, Environmental and Occupational Health (602 citations), Genetics (532 citations) and Agronomy and Crop Science (177 citations). Peter Chrenek has collaborated with scholars based in Slovakia, Czechia and Poland. Frequent co-authors include Alexander V. Makarevich, Alexander V. Sirotkin, Andrej Baláži, Jaromír Vašíček, J. Bulla, Pavel Uhrín, J. Pivko, Bernd R. Binder, Lucia Olexíková and Péter Massányi. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Physiological Research, Reproduction in Domestic Animals and Antioxidants.

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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