Dierck Segelke
- Genetics top 10%
- Plant Science
- Agronomy and Crop Science top 10%
- Cancer Research
- Animal Science and Zoology
- Co-authors
- Georg ThallerF ReinhardtReinhard ReentsJens TetensJörn BennewitzHelge TäubertZengting LiuN. Reinsch
- Topics
- Genetic and phenotypic traits in livestock (21 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)Reproductive Physiology in Livestock (6 papers)
In The Last Decade
Dierck Segelke
22 papers receiving 258 citations
Peers
Comparison fields: 5 of 34
- Genetics 238
- Plant Science 80
- Agronomy and Crop Science 76
- Cancer Research 47
- Animal Science and Zoology 29
Countries citing papers authored by Dierck Segelke
This map shows the geographic impact of Dierck Segelke'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 Dierck Segelke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dierck Segelke more than expected).
Fields of papers citing papers by Dierck Segelke
This network shows the impact of papers produced by Dierck Segelke. 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 Dierck Segelke. The network helps show where Dierck Segelke may publish in the future.
Co-authorship network of co-authors of Dierck Segelke
This figure shows the co-authorship network connecting the top 25 collaborators of Dierck Segelke. A scholar is included among the top collaborators of Dierck Segelke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dierck Segelke. Dierck Segelke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | Genomic prediction of health traits using a mixed reference bull and cow reference population for German Holsteins. | 1 |
| 11 | Imputation of genetic characteristics using deep learning methods | 1 |
| 12 | Cow Reference Population – Benefit for Genomic Evaluation System and Farmers | 3 |
| 13 | 21 | |
| 14 | 35 | |
| 15 | 26 | |
| 16 | 25 | |
| 17 | Management of Genetic Characteristics | 3 |
| 18 | 17 | |
| 19 | Chances and limits of breeding polled cattle Deutsche Holstein. | 2 |
| 20 | 46 |
About Dierck Segelke
Dierck Segelke is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology, having authored 22 papers that have together received 266 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Reproductive Physiology in Livestock (6 papers). The work is most often cited by research in Genetics (238 citations), Agronomy and Crop Science (76 citations) and Cancer Research (47 citations). Dierck Segelke has collaborated with scholars based in Germany, Slovakia and Denmark. Frequent co-authors include Georg Thaller, F Reinhardt, Reinhard Reents, Jens Tetens, Jörn Bennewitz, Helge Täubert, Zengting Liu, N. Reinsch, Manuela Reichelt and F. Teuscher. Their work appears in journals such as Genetics, Journal of Dairy Science and Genetics Selection Evolution.
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.