Martin Wehling
- Behavioral Neuroscience top 5%
- Reproductive Medicine top 2%
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- Hormonal Regulation and Hypertension 10
- Hormonal and reproductive studies 4
- Genetics top 2%
- Estrogen and related hormone effects 17
- Immunology top 10%
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- Receptor Mechanisms and Signaling 6
- Ion Transport and Channel Regulation 3
- Ion channel regulation and function 3
- Steroid Chemistry and Biochemistry 3
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- Computational Drug Discovery Methods 5
- Co-authors
- Ralf LöselElisabeth FalkensteinAlexandra WendlerJohn J. PelusoAndrea PappalardoAnthony W. NormanChristian AlbrechtBernhard M. W. Schmidt
- Journals
- Nature Reviews Molecular Cell Biology (1 paper)The Journal of Clinical Endocrinology & Metabolism (2 papers)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Martin Wehling
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Behavioral Neuroscience 127
- Reproductive Medicine 272
- Endocrinology, Diabetes and Metabolism 516
- Genetics 798
- Immunology 303
Countries citing papers authored by Martin Wehling
This map shows the geographic impact of Martin Wehling'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 Martin Wehling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Wehling more than expected).
Fields of papers citing papers by Martin Wehling
This network shows the impact of papers produced by Martin Wehling. 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 Martin Wehling. The network helps show where Martin Wehling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Wehling, 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 | 2017 | 11 | |
| 2 | 2012 | 36 | |
| 3 | 2012 | 30 | |
| 4 | 2012 | 57 | |
| 5 | 2011 | 51 | |
| 6 | 2009 | 8 | |
| 7 | 2006 | 181 | |
| 8 | 2005 | 47 | |
| 9 | Nongenomic actions of steroid hormonesbreakdown → | 2003 | 740 |
| 10 | 2002 | 71 | |
| 11 | 2001 | 23 | |
| 12 | 2001 | 3 | |
| 13 | 2000 | 116 | |
| 14 | 2000 | 72 | |
| 15 | 2000 | 134 | |
| 16 | 1999 | 36 | |
| 17 | 1997 | 7 | |
| 18 | 1989 | 1 | |
| 19 | 1987 | 4 | |
| 20 | 1981 | 17 |
About Martin Wehling
Martin Wehling is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), Hormonal Regulation and Hypertension (10 papers), Receptor Mechanisms and Signaling (6 papers), Computational Drug Discovery Methods (5 papers), Hormonal and reproductive studies (4 papers), Ion Transport and Channel Regulation (3 papers), Ion channel regulation and function (3 papers) and Steroid Chemistry and Biochemistry (3 papers). The work is most often cited by research in Behavioral Neuroscience (127 citations), Reproductive Medicine (272 citations) and Endocrinology, Diabetes and Metabolism (516 citations). Martin Wehling has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ralf Lösel, Elisabeth Falkenstein, Alexandra Wendler, John J. Peluso, Andrea Pappalardo, Anthony W. Norman, Christian Albrecht, Bernhard M. W. Schmidt, Paul J. Davis and Faith B. Davis. Their work appears in journals such as Nature Reviews Molecular Cell Biology, The Journal of Clinical Endocrinology & Metabolism and Nature Reviews Drug Discovery.
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.