Brian Ahrens
- Endocrinology, Diabetes and Metabolism top 2%
- Cell Biology top 5%
- Animal Science and Zoology top 5%
- Spectroscopy top 10%
- Sociology and Political Science
- Co-authors
- Don H. CatlinBorislav StarcevicCaroline K. HattonYu‐Chen ChangTim SobolevskyCostas GeorgakopoulosAnthony W. ButchBenjamin Z. Leder
- Topics
- Hormonal and reproductive studies (19 papers)Muscle metabolism and nutrition (10 papers)Pharmacological Effects and Assays (6 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismClinical ChemistryJournal of Organometallic Chemistry
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Brian Ahrens
28 papers receiving 588 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 484
- Cell Biology 246
- Animal Science and Zoology 162
- Spectroscopy 131
- Sociology and Political Science 105
Countries citing papers authored by Brian Ahrens
This map shows the geographic impact of Brian Ahrens'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 Brian Ahrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ahrens more than expected).
Fields of papers citing papers by Brian Ahrens
This network shows the impact of papers produced by Brian Ahrens. 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 Brian Ahrens. The network helps show where Brian Ahrens may publish in the future.
Co-authorship network of co-authors of Brian Ahrens
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Ahrens. A scholar is included among the top collaborators of Brian Ahrens 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 Brian Ahrens. Brian Ahrens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | 103 | |
| 17 | 194 | |
| 18 | 103 | |
| 19 | 23 | |
| 20 | Screening and identification of sumatriptan and its main metabolite by means of thin-layer chromatography, ultraviolet spectroscopy and gas chromatography/mass spectrometry. | 5 |
About Brian Ahrens
Brian Ahrens is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Animal Science and Zoology, having authored 28 papers that have together received 624 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (19 papers), Muscle metabolism and nutrition (10 papers) and Pharmacological Effects and Assays (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (484 citations), Animal Science and Zoology (162 citations) and Cell Biology (246 citations). Brian Ahrens has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Don H. Catlin, Borislav Starcevic, Caroline K. Hatton, Yu‐Chen Chang, Tim Sobolevsky, Costas Georgakopoulos, Yu‐Chen Chang, Anthony W. Butch, Benjamin Z. Leder and Joel S. Finkelstein. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and Journal of Organometallic Chemistry.
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.