Cordula Hohnen-Behrens
- Molecular Biology top 5%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Pharmacology top 2%
- Epidemiology top 5%
- Co-authors
- David E. JamesNigel TurnerEdward W. KraegenKyle L. HoehnGeorg RammWon Keun OhAlison K. GosbyYun Shen
- Topics
- Metabolism, Diabetes, and Cancer (5 papers)Natural Antidiabetic Agents Studies (3 papers)Advances in Cucurbitaceae Research (3 papers)
In The Last Decade
Cordula Hohnen-Behrens
8 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.3k
- Physiology 937
- Endocrinology, Diabetes and Metabolism 593
- Pharmacology 572
- Epidemiology 552
Countries citing papers authored by Cordula Hohnen-Behrens
This map shows the geographic impact of Cordula Hohnen-Behrens'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 Cordula Hohnen-Behrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cordula Hohnen-Behrens more than expected).
Fields of papers citing papers by Cordula Hohnen-Behrens
This network shows the impact of papers produced by Cordula Hohnen-Behrens. 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 Cordula Hohnen-Behrens. The network helps show where Cordula Hohnen-Behrens may publish in the future.
Co-authorship network of co-authors of Cordula Hohnen-Behrens
This figure shows the co-authorship network connecting the top 25 collaborators of Cordula Hohnen-Behrens. A scholar is included among the top collaborators of Cordula Hohnen-Behrens 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 Cordula Hohnen-Behrens. Cordula Hohnen-Behrens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 410 | |
| 2 | 320 | |
| 3 | 39 | |
| 4 | 248 | |
| 5 | 54 | |
| 6 | 1 | |
| 7 | Interleukin-6 Increases Insulin-Stimulated Glucose Disposal in Humans and Glucose Uptake and Fatty Acid Oxidation In Vitro via AMP-Activated Protein Kinasebreakdown → | 679 |
| 8 | Berberine, a Natural Plant Product, Activates AMP-Activated Protein Kinase With Beneficial Metabolic Effects in Diabetic and Insulin-Resistant Statesbreakdown → | 897 |
| 9 | 3 |
About Cordula Hohnen-Behrens
Cordula Hohnen-Behrens is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Complementary and alternative medicine, having authored 9 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Natural Antidiabetic Agents Studies (3 papers) and Advances in Cucurbitaceae Research (3 papers). The work is most often cited by research in Rehabilitation (254 citations), Physiology (937 citations) and Endocrinology, Diabetes and Metabolism (593 citations). Cordula Hohnen-Behrens has collaborated with scholars based in Australia, China and Denmark. Frequent co-authors include David E. James, Nigel Turner, Edward W. Kraegen, Kyle L. Hoehn, Georg Ramm, Won Keun Oh, Alison K. Gosby, Yun Shen, Yun Sok Lee and Chul H. Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Metabolism and Diabetes.
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.