M. Bogacki

50 papers receiving 1.0k citations

Peers

M. Bogacki
Comparison fields: 5 of 75
  • Agronomy and Crop Science 633
  • Equine 49
  • Reproductive Medicine 159
  • Immunology 390
  • Rehabilitation 78
Replace Barbara Jana with:
Barbara Jana Poland
António Galvão Poland
Agnieszka Wacławik Poland
Karolina Łukasik Poland
J. J. Bass New Zealand
C. Morales Spain
N. Kawate Japan
L E Reichert United States
P.J. Bridges United States
Piotr L. Dorniak United States
M. Bogacki relative to Barbara Jana Poland Barbara Jana's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Bogacki

Since Specialization
Citations

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

Fields of papers citing papers by M. Bogacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006101
2 199957
3 199454
4 200250
5 200749
6 200446
7 201545
8 199742
9 200232
10 200531
11 200730
12 200830
13 199729
14 201528
15 200326
16 199926
17 200824
18 200924
19
Peroxisome proliferator activated receptor ligands affect progesterone and 17β-estradiol secretion by porcine corpus luteum during early pregnancy.
201423
20
In vitro effect of peroxisome proliferator activated receptor (PPAR) ligands on prostaglandin E2 synthesis and secretion by porcine endometrium during the estrous cycle and early pregnancy.
201322

About M. Bogacki

M. Bogacki is a scholar working on Agronomy and Crop Science, Immunology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (38 papers), Reproductive System and Pregnancy (16 papers), Reproductive Biology and Fertility (11 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Neuroendocrine regulation and behavior (7 papers), Estrogen and related hormone effects (6 papers), Animal Behavior and Welfare Studies (5 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Agronomy and Crop Science (633 citations), Equine (49 citations), Reproductive Medicine (159 citations), Immunology (390 citations) and Rehabilitation (78 citations). M. Bogacki has collaborated with scholars based in Poland, United States and Japan. Frequent co-authors include J. Kotwica, Dariusz J. Skarżyński, Iwona Bogacka, J.J. Jaroszewski, Katarzyna Chojnowska, Adam J. Ziȩcik, Robert Rękawiecki, Agnieszka Wacławik, Barbara Gawrońska‐Kozak and W. Todd Monroe. Their work appears in journals such as Theriogenology, Reproductive Biology, Journal of Reproduction and Development, Acta veterinaria Scandinavica and Domestic Animal Endocrinology.

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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