B. Barcikowski

35 papers receiving 616 citations

Peers

B. Barcikowski
Comparison fields: 5 of 63
  • Agronomy and Crop Science 385
  • Equine 36
  • Reproductive Medicine 108
  • Endocrine and Autonomic Systems 77
  • Small Animals 68
Replace T. M. Louis with:
T. M. Louis United States
A. P. Labhsetwar United States
A. M. Akbar United States
Stanisława Stefańczyk‐Krzymowska Poland
I.F. Lau United States
Paul D. Carrière Canada
Karin J. Bodensteiner United States
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Citations per field
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Citations per year

Countries citing papers authored by B. Barcikowski

Since Specialization
Citations

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

Fields of papers citing papers by B. Barcikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974121
2 1975113
3
The identification of prostaglandin F2 alpha as a uterine luteolytic hormone and the hormonal control of its synthesis.
198144
4 197339
5 197433
6
The physiological role of prostaglandin F2alpha in corpus luteum regression.
197327
7 200426
8
Melatonin--a modulator of the GnRH/LH axis in sheep.
200226
9 199624
10
The role of prostaglandins in luteal regression.
197322
11 197520
12 200419
13 200217
14 200812
15 199912
16 199312
17 198511
18 197311
19 199110
20 20018

About B. Barcikowski

B. Barcikowski is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Genetics, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 38 papers that have together received 676 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (23 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Circadian rhythm and melatonin (6 papers), Birth, Development, and Health (6 papers), Estrogen and related hormone effects (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Agronomy and Crop Science (385 citations), Equine (36 citations), Reproductive Medicine (108 citations), Endocrine and Autonomic Systems (77 citations) and Small Animals (68 citations). B. Barcikowski has collaborated with scholars based in Poland, Sweden and United States. Frequent co-authors include John A. McCracken, Lauren Wilson, Katarzyna Romanowicz, Tomasz Misztal, John C. Carlson, J.S. Roberts, R. C. Skarnes, Willfried Schramm, Andrzej Bartke and Andrzej Madej. Their work appears in journals such as Animal Reproduction Science, Reproduction, Acta Neurobiologiae Experimentalis, Neuroendocrinology and Experimental and Clinical Endocrinology & Diabetes.

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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