M. Murawski

58 papers receiving 582 citations

Peers

M. Murawski
Comparison fields: 5 of 95
  • Agronomy and Crop Science 229
  • Reproductive Medicine 102
  • Genetics 287
  • Animal Science and Zoology 75
  • Endocrine and Autonomic Systems 38
Replace Jairo Pereira Neves with:
Jairo Pereira Neves Brazil
B. H. Johnson United States
Paulo Fantinato Neto Brazil
V.P. Yadav India
Raúl Sánchez Sánchez Spain
V.S. Chouhan India
W. Shawn Ramsey United States
Fernanda Radicchi Campos Lobato de Almeida Brazil
Maurício Machaim Franco Brazil
Deiler Sampaio Costa Brazil
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Citations per field
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Jairo Pereira Neves · 1×
Citations per year

Countries citing papers authored by M. Murawski

Since Specialization
Citations

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

Fields of papers citing papers by M. Murawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006158
2 200847
3 201639
4 201833
5 201923
6 201622
7
Immunohistochemical localization of estrogen receptors in the ovine corpus luteum throughout the estrous cycle.
200018
8 201418
9
Effect of genotype on yield and chemical composition of sheep milk
200816
10 201916
11 201416
12 201415
13
The effect of long term exposure to copper on physiological condition and reproduction of sheep.
200615
14 201513
15 201911
16 200010
17 202010
18 20139
19 20199
20 20208

About M. Murawski

M. Murawski is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Plant Science, having authored 66 papers that have together received 609 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (24 papers), Reproductive Biology and Fertility (21 papers), Genetic and phenotypic traits in livestock (11 papers), Botany and Plant Ecology Studies (10 papers), Ovarian function and disorders (9 papers), Agricultural economics and policies (8 papers), Renal and related cancers (7 papers) and Sperm and Testicular Function (7 papers). The work is most often cited by research in Agronomy and Crop Science (229 citations), Reproductive Medicine (102 citations), Genetics (287 citations), Animal Science and Zoology (75 citations) and Endocrine and Autonomic Systems (38 citations). M. Murawski has collaborated with scholars based in Poland, Canada and Brazil. Frequent co-authors include Pawel M. Bartlewski, T. Schwarz, D Zieba, Mikhail Ozerov, H. Viinalass, Н. С. Марзанов, Tatyana Kiselyova, Mirjana Ćinkulov, Miika Tapio and Juha Kantanen. Their work appears in journals such as Theriogenology, International Journal of Molecular Sciences, Animal Reproduction Science, Annals of Animal Science and Reproductive 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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