Georg Opfermann
Impact in
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- Hormonal and reproductive studies
- Animal Science and Zoology top 1%
- Pharmacological Effects and Assays
Papers in
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- Hormonal and reproductive studies 25
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- Pharmacological Effects and Assays 13
- Co-authors
- Wilhelm Schänzer (28 shared papers)Mario Thevis (16 shared papers)Hans Geyer (6 shared papers)W. Schänzer (3 shared papers)Ute Mareck (5 shared papers)Maria Kristina Parr (10 shared papers)M. Donike (2 shared papers)Manfred Donike (1 shared paper)
- Journals
- Rapid Communications in Mass Spectrometry (7 papers)Journal of Mass Spectrometry (6 papers)Steroids (5 papers)Drug Testing and Analysis (3 papers)Toxicology Letters (2 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Georg Opfermann
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 916
- Animal Science and Zoology 416
- Toxicology 84
- Spectroscopy 382
- Pharmacology 169
Countries citing papers authored by Georg Opfermann
This map shows the geographic impact of Georg Opfermann'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 Georg Opfermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Opfermann more than expected).
Fields of papers citing papers by Georg Opfermann
This network shows the impact of papers produced by Georg Opfermann. 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 Georg Opfermann. The network helps show where Georg Opfermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Opfermann, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 219 | |
| 2 | 1990 | 84 | |
| 3 | 1992 | 76 | |
| 4 | 2003 | 74 | |
| 5 | 2005 | 70 | |
| 6 | 2013 | 59 | |
| 7 | 2010 | 49 | |
| 8 | 2001 | 45 | |
| 9 | 2003 | 43 | |
| 10 | 2006 | 41 | |
| 11 | 2007 | 38 | |
| 12 | 2005 | 37 | |
| 13 | 2001 | 35 | |
| 14 | 2012 | 35 | |
| 15 | 2010 | 33 | |
| 16 | 2000 | 32 | |
| 17 | 1996 | 32 | |
| 18 | 2009 | 31 | |
| 19 | 2009 | 30 | |
| 20 | 2011 | 30 |
About Georg Opfermann
Georg Opfermann is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Spectroscopy, Genetics and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (25 papers), Pharmacological Effects and Assays (13 papers), Mass Spectrometry Techniques and Applications (9 papers), Estrogen and related hormone effects (7 papers), Steroid Chemistry and Biochemistry (5 papers), Analytical Chemistry and Chromatography (5 papers), Pesticide Residue Analysis and Safety (4 papers) and Forensic Toxicology and Drug Analysis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (916 citations), Animal Science and Zoology (416 citations), Toxicology (84 citations), Spectroscopy (382 citations) and Pharmacology (169 citations). Georg Opfermann has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Wilhelm Schänzer, Mario Thevis, Hans Geyer, W. Schänzer, Ute Mareck, Maria Kristina Parr, M. Donike, Manfred Donike, Thomas Piper and Nils E. Schlörer. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Mass Spectrometry, Steroids, Drug Testing and Analysis and Toxicology Letters.
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.