H. Geyer
Impact in
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- Hormonal and reproductive studies
- Animal Science and Zoology top 0.5%
- Pharmacological Effects and Assays
Papers in
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- Hormonal and reproductive studies 23
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- Pharmacological Effects and Assays 11
- Co-authors
- Wilhelm Schänzer (20 shared papers)Ute Mareck (5 shared papers)Mario Thevis (16 shared papers)Maria Kristina Parr (3 shared papers)Ursula Reinhart (2 shared papers)David J. Neep (2 shared papers)Andrew Hutt (1 shared paper)Sara E. C. Dale (1 shared paper)
- Journals
- Toxicology Letters (4 papers)Analytical and Bioanalytical Chemistry (3 papers)International Journal of Sports Medicine (3 papers)Drug Testing and Analysis (3 papers)The Veterinary Journal (3 papers)
- Partner nations
- SwitzerlandGermanyHungary
In The Last Decade
H. Geyer
76 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 1.0k
- Animal Science and Zoology 612
- Equine 87
- Small Animals 267
- Cell Biology 558
Countries citing papers authored by H. Geyer
This map shows the geographic impact of H. Geyer'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 H. Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Geyer more than expected).
Fields of papers citing papers by H. Geyer
This network shows the impact of papers produced by H. Geyer. 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 H. Geyer. The network helps show where H. Geyer may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Geyer, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent Advances in Doping Analysis | 2002 | 473 |
| 2 | 2004 | 246 | |
| 3 | 2003 | 80 | |
| 4 | 1991 | 71 | |
| 5 | 2011 | 68 | |
| 6 | 1984 | 62 | |
| 7 | 2012 | 57 | |
| 8 | 2012 | 56 | |
| 9 | 2003 | 54 | |
| 10 | 2013 | 53 | |
| 11 | 2008 | 50 | |
| 12 | 2005 | 50 | |
| 13 | 1999 | 39 | |
| 14 | 2004 | 39 | |
| 15 | 2005 | 37 | |
| 16 | 2006 | 36 | |
| 17 | 2002 | 33 | |
| 18 | 2010 | 33 | |
| 19 | 2006 | 32 | |
| 20 | 1995 | 31 |
About H. Geyer
H. Geyer is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Genetics, Small Animals and Cell Biology, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (23 papers), Estrogen and related hormone effects (11 papers), Pharmacological Effects and Assays (11 papers), Veterinary Equine Medical Research (10 papers), Muscle metabolism and nutrition (9 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Veterinary Oncology Research (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Animal Science and Zoology (612 citations), Equine (87 citations), Small Animals (267 citations) and Cell Biology (558 citations). H. Geyer has collaborated with scholars based in Switzerland, Germany and Hungary. Frequent co-authors include Wilhelm Schänzer, Ute Mareck, Mario Thevis, Maria Kristina Parr, Ursula Reinhart, David J. Neep, Andrew Hutt, Sara E. C. Dale, Andrew T. Kicman and Anthony Leeds. Their work appears in journals such as Toxicology Letters, Analytical and Bioanalytical Chemistry, International Journal of Sports Medicine, Drug Testing and Analysis and The Veterinary Journal.
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.