Marko Cotman

518 citations
19 papers · 313 · h-index 10

Impact in

  • Equine top 5%
    • Veterinary Equine Medical Research
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and Kidney Cyst Diseases

Papers in

Marko Cotman

17 papers receiving 310 citations

Peers

Marko Cotman
Comparison fields: 5 of 64
  • Equine 26
  • Genetics 138
  • Biochemistry 24
  • Pharmacology 21
  • Reproductive Medicine 19
Replace Christine Spinka with:
Christine Spinka United States
Sead Chadi France
Akane Nitta Japan
Aydın Güzeloğlu Türkiye
Masami Shibaya Japan
K.K. Piotrowska-Tomala Poland
Andreas Vernunft Germany
Mustafa Hitit Türkiye
K Nakashima Japan
Yanhua Li China
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Citations per field
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Citations per year

Countries citing papers authored by Marko Cotman

Since Specialization
Citations

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

Fields of papers citing papers by Marko Cotman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201947
2 201943
3 200242
4 200335
5 201834
6 200726
7 201824
8 200523
9 201813
10 201113
11 20014
12 20173
13 20242
14 20201
15
MUTATION OF MDR1 GENE ASSOCIATED WITH MULTIDRUG SENSITIVITY IN AUSTRALIAN SHEPHERDS IN SLOVENIA
20071
16 20211
17 20241
18 20240
19 20100

About Marko Cotman

Marko Cotman is a scholar working on Molecular Biology, Genetics, Surgery, Animal Science and Zoology and Biochemistry, having authored 19 papers that have together received 313 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Genetic and phenotypic traits in livestock (4 papers), Lipid metabolism and biosynthesis (3 papers), melanin and skin pigmentation (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Meat and Animal Product Quality (2 papers), Animal Nutrition and Physiology (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Equine (26 citations), Genetics (138 citations), Biochemistry (24 citations), Pharmacology (21 citations) and Reproductive Medicine (19 citations). Marko Cotman has collaborated with scholars based in Slovenia, Austria and Switzerland. Frequent co-authors include Damjana Rozman, Gertrud Grilz-Seger, Г. Брем, Matjaž Mesarič, Thomas Druml, Markus Neuditschko, M. Ocepek, Davor Ježek, Klementina Fon Tacer and Robert Frangež. Their work appears in journals such as Molecular and Cellular Endocrinology, Animals, BMC Veterinary Research, Frontiers in Veterinary Science and Journal of Comparative Pathology.

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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