Martin Wehling
- Genetics top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Immunology top 10%
- Reproductive Medicine top 2%
- Co-authors
- Ralf LöselElisabeth FalkensteinAlexandra WendlerJohn J. PelusoAndrea PappalardoAnthony W. NormanChristian AlbrechtBernhard M. W. Schmidt
- Topics
- Estrogen and related hormone effects (17 papers)Hormonal Regulation and Hypertension (10 papers)Receptor Mechanisms and Signaling (6 papers)
- Journals
- Nature Reviews Molecular Cell BiologyThe Journal of Clinical Endocrinology & MetabolismNature Reviews Drug Discovery
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Martin Wehling
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Genetics 798
- Molecular Biology 714
- Endocrinology, Diabetes and Metabolism 516
- Immunology 303
- Reproductive Medicine 272
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 of co-authors of Martin Wehling
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Wehling. A scholar is included among the top collaborators of Martin Wehling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Wehling. Martin Wehling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 36 | |
| 3 | 30 | |
| 4 | 57 | |
| 5 | 51 | |
| 6 | 8 | |
| 7 | 181 | |
| 8 | 47 | |
| 9 | Nongenomic actions of steroid hormonesbreakdown → | 740 |
| 10 | 71 | |
| 11 | 23 | |
| 12 | 3 | |
| 13 | 116 | |
| 14 | 72 | |
| 15 | 134 | |
| 16 | 36 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 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) and Receptor Mechanisms and Signaling (6 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.