Frank Hannemann
- Molecular Biology top 5%
- Pharmacology top 0.1%
- Endocrinology, Diabetes and Metabolism top 2%
- Inorganic Chemistry top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Co-authors
- Rita BernhardtKerstin Maria EwenWerner UhlJosef ZappBurkhard SchifflerJoachim JoseYogan KhatriCornelia Virus
- Topics
- Pharmacogenetics and Drug Metabolism (45 papers)Hormonal Regulation and Hypertension (29 papers)Steroid Chemistry and Biochemistry (29 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- GermanyNetherlandsJapan
In The Last Decade
Frank Hannemann
91 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.1k
- Pharmacology 1.4k
- Endocrinology, Diabetes and Metabolism 592
- Inorganic Chemistry 484
- Renewable Energy, Sustainability and the Environment 329
Countries citing papers authored by Frank Hannemann
This map shows the geographic impact of Frank Hannemann'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 Frank Hannemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Hannemann more than expected).
Fields of papers citing papers by Frank Hannemann
This network shows the impact of papers produced by Frank Hannemann. 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 Frank Hannemann. The network helps show where Frank Hannemann may publish in the future.
Co-authorship network of co-authors of Frank Hannemann
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Hannemann. A scholar is included among the top collaborators of Frank Hannemann 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 Frank Hannemann. Frank Hannemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 23 | |
| 4 | 23 | |
| 5 | 22 | |
| 6 | 16 | |
| 7 | 57 | |
| 8 | 44 | |
| 9 | 16 | |
| 10 | 51 | |
| 11 | 46 | |
| 12 | 13 | |
| 13 | 57 | |
| 14 | 36 | |
| 15 | 27 | |
| 16 | 72 | |
| 17 | 40 | |
| 18 | 34 | |
| 19 | 0 | |
| 20 | 2 |
About Frank Hannemann
Frank Hannemann is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (45 papers), Hormonal Regulation and Hypertension (29 papers) and Steroid Chemistry and Biochemistry (29 papers). The work is most often cited by research in Pharmacology (1.4k citations), Endocrinology, Diabetes and Metabolism (592 citations) and Inorganic Chemistry (484 citations). Frank Hannemann has collaborated with scholars based in Germany, Netherlands and Japan. Frequent co-authors include Rita Bernhardt, Kerstin Maria Ewen, Werner Uhl, Josef Zapp, Burkhard Schiffler, Joachim Jose, Yogan Khatri, Cornelia Virus, Udo Heinemann and Wolfgang Reinle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.