Nina M. Keil
- Small Animals top 0.5%
- Animal Behavior and Welfare Studies 37
- Animal Science and Zoology top 1%
- Effects of Environmental Stressors on Livestock 21
- Animal Nutrition and Physiology 6
- Meat and Animal Product Quality 4
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock 3
- Equine top 5%
- Genetics top 10%
- Genetic and phenotypic traits in livestock 10
- Human-Animal Interaction Studies 9
-
- Wildlife Ecology and Conservation 6
Nina M. Keil
41 papers receiving 741 citations
Peers
Comparison fields: 5 of 68
- Small Animals 623
- Animal Science and Zoology 451
- Agronomy and Crop Science 226
- Equine 24
- Genetics 310
Countries citing papers authored by Nina M. Keil
This map shows the geographic impact of Nina M. Keil'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 Nina M. Keil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina M. Keil more than expected).
Fields of papers citing papers by Nina M. Keil
This network shows the impact of papers produced by Nina M. Keil. 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 Nina M. Keil. The network helps show where Nina M. Keil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nina M. Keil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 5 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 4 | |
| 12 | 2012 | 19 | |
| 13 | 2009 | 101 | |
| 14 | 2008 | 22 | |
| 15 | 2005 | 56 | |
| 16 | Einfluss einer individuell angepassten Abtränkmethode auf das gegenseitige Besaugen und die Gewichtsentwicklung von Aufzuchtkälbern | 2005 | 1 |
| 17 | 2001 | 27 | |
| 18 | 2001 | 40 | |
| 19 | 2000 | 27 | |
| 20 | 1997 | 5 |
About Nina M. Keil
Nina M. Keil is a scholar working on Small Animals, Animal Science and Zoology, Equine, Agronomy and Crop Science and Genetics, having authored 43 papers that have together received 780 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (37 papers), Effects of Environmental Stressors on Livestock (21 papers), Genetic and phenotypic traits in livestock (10 papers), Human-Animal Interaction Studies (9 papers), Animal Nutrition and Physiology (6 papers), Wildlife Ecology and Conservation (6 papers), Meat and Animal Product Quality (4 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Small Animals (623 citations), Animal Science and Zoology (451 citations), Agronomy and Crop Science (226 citations), Equine (24 citations) and Genetics (310 citations). Nina M. Keil has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Lorenz Gygax, Beat Wechsler, Edna Hillmann, Béatrice A. Roth, Janine Aschwanden, Wolfgang Langhans, Roland Weber, Laurent Audigé, Katharina Friedli and Rupert Palme. Their work appears in journals such as Applied Animal Behaviour Science, Journal of Dairy Science, Animals, Scientific Reports and Frontiers in Veterinary 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.