Carsten Scheper
Impact in
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock
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- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 16
- Genetic and phenotypic traits in livestock 16
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- Reproductive Physiology in Livestock 4
- Milk Quality and Mastitis in Dairy Cows 2
- Co-authors
- Sven Koenig (12 shared papers)Tong Yin (7 shared papers)Sven Koenig (6 shared papers)Kerstin Brügemann (5 shared papers)Katharina May (7 shared papers)Susanne Klein (2 shared papers)Luc Hippolyte Dossa (3 shared papers)Christina Strübe (3 shared papers)
In The Last Decade
Carsten Scheper
18 papers receiving 277 citations
Peers
Comparison fields: 5 of 43
- Agronomy and Crop Science 85
- Genetics 198
- Small Animals 47
- Animal Science and Zoology 55
- Cancer Research 45
Countries citing papers authored by Carsten Scheper
This map shows the geographic impact of Carsten Scheper'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 Carsten Scheper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Scheper more than expected).
Fields of papers citing papers by Carsten Scheper
This network shows the impact of papers produced by Carsten Scheper. 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 Carsten Scheper. The network helps show where Carsten Scheper may publish in the future.
Co-authors
The 25 scholars most cited alongside Carsten Scheper, 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 | 2020 | 45 | |
| 2 | 2020 | 32 | |
| 3 | 2019 | 28 | |
| 4 | 2016 | 25 | |
| 5 | 2017 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 1-step versus 2-step imputation: a case study in German Black Pied cattle | 2018 | 2 |
About Carsten Scheper
Carsten Scheper is a scholar working on Genetics, Agronomy and Crop Science, Small Animals, Animal Science and Zoology and Management, Monitoring, Policy and Law, having authored 18 papers that have together received 279 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (16 papers), Animal Behavior and Welfare Studies (4 papers), Reproductive Physiology in Livestock (4 papers), Animal Diversity and Health Studies (3 papers), Effects of Environmental Stressors on Livestock (3 papers), Rangeland Management and Livestock Ecology (3 papers), Milk Quality and Mastitis in Dairy Cows (2 papers) and Helminth infection and control (2 papers). The work is most often cited by research in Agronomy and Crop Science (85 citations), Genetics (198 citations), Small Animals (47 citations), Animal Science and Zoology (55 citations) and Cancer Research (45 citations). Carsten Scheper has collaborated with scholars based in Germany, Benin and Poland. Frequent co-authors include Sven Koenig, Tong Yin, Sven Koenig, Kerstin Brügemann, Katharina May, Susanne Klein, Luc Hippolyte Dossa, Christina Strübe, Hermann H. Swalve and Paula Korkuć. Their work appears in journals such as Journal of Dairy Science, Genetics Selection Evolution, Journal of Animal Breeding and Genetics, BMC Genomics and 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.