Stefan Bauersachs
- Agronomy and Crop Science top 0.2%
- Reproductive Physiology in Livestock 47
- Equine top 1%
- Immunology top 1%
- Reproductive System and Pregnancy 59
- Reproductive Medicine top 1%
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies 9
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- Reproductive Biology and Fertility 25
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- MicroRNA in disease regulation 15
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- Genetic and phenotypic traits in livestock 12
- Estrogen and related hormone effects 12
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- Extracellular vesicles in disease 11
- Co-authors
- Eckhard WolfSusanne E. UlbrichHelmut BlumC. AlmiñanaHendrik WenigerkindFred SinowatzHeinrich H.D. MeyerHorst-Dieter Reichenbach
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (5 papers)Analytical Biochemistry (1 paper)
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Stefan Bauersachs
107 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 116
- Agronomy and Crop Science 1.7k
- Equine 144
- Immunology 1.8k
- Reproductive Medicine 522
- Obstetrics and Gynecology 314
Countries citing papers authored by Stefan Bauersachs
This map shows the geographic impact of Stefan Bauersachs'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 Stefan Bauersachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Bauersachs more than expected).
Fields of papers citing papers by Stefan Bauersachs
This network shows the impact of papers produced by Stefan Bauersachs. 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 Stefan Bauersachs. The network helps show where Stefan Bauersachs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Bauersachs, 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 | 2024 | 4 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2014 | 57 | |
| 9 | 2013 | 31 | |
| 10 | 2013 | 21 | |
| 11 | 2012 | 39 | |
| 12 | 2011 | 21 | |
| 13 | Functional genome research in reproductive biology and biotechnology − a minireview* | 2010 | 2 |
| 14 | 2010 | 83 | |
| 15 | 2007 | 12 | |
| 16 | Functional genome research - new strategies to improve fertility in cattle | 2006 | 2 |
| 17 | 2006 | 24 | |
| 18 | 2005 | 148 | |
| 19 | 2005 | 126 | |
| 20 | 1992 | 2 |
About Stefan Bauersachs
Stefan Bauersachs is a scholar working on Agronomy and Crop Science, Equine and Immunology, having authored 109 papers that have together received 3.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (59 papers), Reproductive Physiology in Livestock (47 papers), Reproductive Biology and Fertility (25 papers), MicroRNA in disease regulation (15 papers), Genetic and phenotypic traits in livestock (12 papers), Estrogen and related hormone effects (12 papers), Extracellular vesicles in disease (11 papers) and Pregnancy and preeclampsia studies (9 papers). The work is most often cited by research in Agronomy and Crop Science (1.7k citations), Equine (144 citations) and Immunology (1.8k citations). Stefan Bauersachs has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Eckhard Wolf, Susanne E. Ulbrich, Helmut Blum, C. Almiñana, Hendrik Wenigerkind, Fred Sinowatz, Heinrich H.D. Meyer, Horst-Dieter Reichenbach, Ralf Einspanier and M. Vermehren. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.
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.