Anna Mucha

491 citations
44 papers · 309 · h-index 7

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 13
    • Genetic diversity and population structure 6
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Wildlife Ecology and Conservation 7
    • Animal Ecology and Behavior Studies 4

Anna Mucha

37 papers receiving 278 citations

Peers

Anna Mucha
Comparison fields: 5 of 98
  • Behavioral Neuroscience 17
  • Cellular and Molecular Neuroscience 76
  • Small Animals 20
  • Animal Science and Zoology 20
  • Genetics 49
Replace András D. Nagy with:
András D. Nagy Hungary
L. A. Gerlinskaya Russia
Katarzyna Miedzinska United Kingdom
Fusako Mitsunaga Japan
Maria Horvat‐Gordon United States
С. Г. Шихевич Russia
Edyta Molik Poland
John H. Abel United States
Javier López-Luna United Kingdom
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Citations per field
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András D. Nagy · 1×
Citations per year

Countries citing papers authored by Anna Mucha

Since Specialization
Citations

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

Fields of papers citing papers by Anna Mucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959151
2 202030
3 202015
4 20208
5 20217
6 20207
7 20196
8 20126
9 20176
10 20245
11 20125
12 20185
13 20144
14 20194
15 20214
16 20164
17 20213
18 20213
19 20233
20 20243

About Anna Mucha

Anna Mucha is a scholar working on Genetics, Ecology, Small Animals, Rheumatology and Animal Science and Zoology, having authored 44 papers that have together received 309 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Animal Behavior and Welfare Studies (8 papers), Wildlife Ecology and Conservation (7 papers), Pelvic floor disorders treatments (7 papers), Genetic diversity and population structure (6 papers), Animal Ecology and Behavior Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Anorectal Disease Treatments and Outcomes (4 papers). The work is most often cited by research in Behavioral Neuroscience (17 citations), Cellular and Molecular Neuroscience (76 citations), Small Animals (20 citations), Animal Science and Zoology (20 citations) and Genetics (49 citations). Anna Mucha has collaborated with scholars based in Poland, United Kingdom and Switzerland. Frequent co-authors include Edwin J. Fellows, Ralph E. Tedeschi, Leonard Cook, Paul A. Mattis, David H. Tedeschi, Waldemar Andrzejewski, Agnieszka Partyka, Wojciech Niżański, B. Patkowska-Sokoła and Kamil Oleński. Their work appears in journals such as Journal of Clinical Medicine, Animals, Scientific Reports, Journal of Zoology and Canadian Journal of Animal Science.

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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