Maike Heppelmann
Impact in
- Equine top 2%
- Veterinary Equine Medical Research
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock
Papers in
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- Reproductive Physiology in Livestock 20
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- Animal Behavior and Welfare Studies 11
- Co-authors
- H. Bollwein (15 shared papers)J. Rehage (15 shared papers)Alexander Starke (13 shared papers)M. Piechotta (11 shared papers)John Patrick Kastelic (2 shared papers)J. Lüttgenau (1 shared paper)Claus Leiding (1 shared paper)Eleni Malama (1 shared paper)
- Journals
- Journal of Dairy Science (6 papers)Theriogenology (5 papers)PLoS ONE (5 papers)Animals (4 papers)BMC Veterinary Research (3 papers)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Maike Heppelmann
46 papers receiving 837 citations
Peers
Comparison fields: 5 of 80
- Equine 81
- Agronomy and Crop Science 411
- Small Animals 214
- Reproductive Medicine 194
- Animal Science and Zoology 103
Countries citing papers authored by Maike Heppelmann
This map shows the geographic impact of Maike Heppelmann'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 Maike Heppelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Heppelmann more than expected).
Fields of papers citing papers by Maike Heppelmann
This network shows the impact of papers produced by Maike Heppelmann. 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 Maike Heppelmann. The network helps show where Maike Heppelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Maike Heppelmann, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2016 | 82 | |
| 3 | 2016 | 59 | |
| 4 | 2019 | 55 | |
| 5 | 2008 | 39 | |
| 6 | 2007 | 37 | |
| 7 | 2012 | 33 | |
| 8 | 2014 | 33 | |
| 9 | 2019 | 27 | |
| 10 | 2015 | 27 | |
| 11 | 2013 | 26 | |
| 12 | 2017 | 23 | |
| 13 | 2013 | 23 | |
| 14 | 2016 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2007 | 21 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2017 | 14 |
About Maike Heppelmann
Maike Heppelmann is a scholar working on Agronomy and Crop Science, Small Animals, Equine, Animal Science and Zoology and Immunology, having authored 53 papers that have together received 865 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (20 papers), Animal Behavior and Welfare Studies (11 papers), Reproductive System and Pregnancy (9 papers), Effects of Environmental Stressors on Livestock (9 papers), Genetic and phenotypic traits in livestock (8 papers), Veterinary Equine Medical Research (7 papers), Reproductive Biology and Fertility (4 papers) and Veterinary Practice and Education Studies (3 papers). The work is most often cited by research in Equine (81 citations), Agronomy and Crop Science (411 citations), Small Animals (214 citations), Reproductive Medicine (194 citations) and Animal Science and Zoology (103 citations). Maike Heppelmann has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include H. Bollwein, J. Rehage, Alexander Starke, M. Piechotta, John Patrick Kastelic, J. Lüttgenau, Claus Leiding, Eleni Malama, Christiane D. Pfarrer and Martina Hoedemaker. Their work appears in journals such as Journal of Dairy Science, Theriogenology, PLoS ONE, Animals and BMC Veterinary Research.
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.