Maya Kummrow
Impact in
- Equine top 5%
- Small Animals top 5%
- Veterinary Pharmacology and Anesthesia
Papers in
-
- Veterinary Pharmacology and Anesthesia 7
- Animal Behavior and Welfare Studies 6
-
- Animal Behavior and Reproduction 7
- Vector-Borne Animal Diseases 3
- Co-authors
- Dale A. Smith (4 shared papers)Gabriela F. Mastromonaco (5 shared papers)Niels C. Pedersen (1 shared paper)Marina L. Meli (1 shared paper)Regina Hofmann‐Lehmann (1 shared paper)Amy Poland (1 shared paper)Hans Lutz (1 shared paper)Michael Haessig (1 shared paper)
- Journals
- General and Comparative Endocrinology (3 papers)Zoo Biology (2 papers)Veterinary Anaesthesia and Analgesia (2 papers)Endocrinology (1 paper)Nature Communications (1 paper)
- Partner nations
- SwitzerlandGermanyCanada
In The Last Decade
Maya Kummrow
30 papers receiving 374 citations
Peers
Comparison fields: 5 of 79
- Equine 23
- Small Animals 90
- Animal Science and Zoology 119
- Infectious Diseases 100
- Nature and Landscape Conservation 61
Countries citing papers authored by Maya Kummrow
This map shows the geographic impact of Maya Kummrow'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 Maya Kummrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Kummrow more than expected).
Fields of papers citing papers by Maya Kummrow
This network shows the impact of papers produced by Maya Kummrow. 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 Maya Kummrow. The network helps show where Maya Kummrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Kummrow, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 99 | |
| 2 | 2008 | 39 | |
| 3 | 2010 | 33 | |
| 4 | 2010 | 29 | |
| 5 | 2014 | 21 | |
| 6 | 2023 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2012 | 13 | |
| 10 | 2010 | 12 | |
| 11 | 2015 | 10 | |
| 12 | 2010 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2010 | 4 | |
| 20 | 2014 | 4 |
About Maya Kummrow
Maya Kummrow is a scholar working on Small Animals, Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation and Epidemiology, having authored 34 papers that have together received 384 indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (7 papers), Animal Behavior and Reproduction (7 papers), Turtle Biology and Conservation (6 papers), Animal Behavior and Welfare Studies (6 papers), Primate Behavior and Ecology (3 papers), Vector-Borne Animal Diseases (3 papers), Animal Disease Management and Epidemiology (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Equine (23 citations), Small Animals (90 citations), Animal Science and Zoology (119 citations), Infectious Diseases (100 citations) and Nature and Landscape Conservation (61 citations). Maya Kummrow has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Dale A. Smith, Gabriela F. Mastromonaco, Niels C. Pedersen, Marina L. Meli, Regina Hofmann‐Lehmann, Amy Poland, Hans Lutz, Michael Haessig, Leah M. Hesse and Michael H. Court. Their work appears in journals such as General and Comparative Endocrinology, Zoo Biology, Veterinary Anaesthesia and Analgesia, Endocrinology and Nature Communications.
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.