Markus Neuditschko
Impact in
Papers in
- Co-authors
- Herman W. Raadsma (5 shared papers)Mehar S. Khatkar (5 shared papers)Thomas Druml (11 shared papers)Г. Брем (10 shared papers)Gertrud Grilz-Seger (9 shared papers)Mirjam Frischknecht (7 shared papers)Benjamin Dainat (10 shared papers)Christine Flury (7 shared papers)
- Journals
- Animal Genetics (13 papers)Journal of Equine Veterinary Science (5 papers)PLoS ONE (5 papers)Genetics Selection Evolution (4 papers)Genes (3 papers)
- Partner nations
- SwitzerlandAustriaFrance
In The Last Decade
Markus Neuditschko
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Equine 159
- Genetics 821
- Insect Science 211
- Ecology, Evolution, Behavior and Systematics 208
- Agronomy and Crop Science 85
Countries citing papers authored by Markus Neuditschko
This map shows the geographic impact of Markus Neuditschko'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 Markus Neuditschko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Neuditschko more than expected).
Fields of papers citing papers by Markus Neuditschko
This network shows the impact of papers produced by Markus Neuditschko. 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 Markus Neuditschko. The network helps show where Markus Neuditschko may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Neuditschko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 104 | |
| 2 | 2015 | 100 | |
| 3 | 2017 | 61 | |
| 4 | 2020 | 56 | |
| 5 | 2016 | 52 | |
| 6 | 2015 | 51 | |
| 7 | 2019 | 47 | |
| 8 | 2019 | 43 | |
| 9 | 2016 | 43 | |
| 10 | 2017 | 41 | |
| 11 | 2019 | 35 | |
| 12 | 2018 | 35 | |
| 13 | 2012 | 30 | |
| 14 | 2020 | 28 | |
| 15 | 2014 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2016 | 16 |
About Markus Neuditschko
Markus Neuditschko is a scholar working on Genetics, Equine, Ecology, Evolution, Behavior and Systematics, Insect Science and Molecular Biology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (32 papers), Veterinary Equine Medical Research (17 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Insect and Pesticide Research (13 papers), Genetic diversity and population structure (13 papers), Insect and Arachnid Ecology and Behavior (12 papers), Plant and animal studies (12 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). The work is most often cited by research in Equine (159 citations), Genetics (821 citations), Insect Science (211 citations), Ecology, Evolution, Behavior and Systematics (208 citations) and Agronomy and Crop Science (85 citations). Markus Neuditschko has collaborated with scholars based in Switzerland, Austria and France. Frequent co-authors include Herman W. Raadsma, Mehar S. Khatkar, Thomas Druml, Г. Брем, Gertrud Grilz-Seger, Mirjam Frischknecht, Benjamin Dainat, Christine Flury, Heidi Signer‐Hasler and Tosso Leeb. Their work appears in journals such as Animal Genetics, Journal of Equine Veterinary Science, PLoS ONE, Genetics Selection Evolution and Genes.
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.