Torsten Exner
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
-
- Protein Kinase Regulation and GTPase Signaling
- Receptor Mechanisms and Signaling
- Ion channel regulation and function
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 5
- Receptor Mechanisms and Signaling 3
- Ion channel regulation and function 2
- Glycosylation and Glycoproteins Research 1
-
- Neuropeptides and Animal Physiology 2
- Co-authors
- Bernd Nürnberg (9 shared papers)Udo Maier (2 shared papers)Daniela Leopoldt (2 shared papers)Reinhard Wetzker (1 shared paper)Theodor Hanck (1 shared paper)Jean Mironneau (1 shared paper)Patricia Viard (1 shared paper)Nathalie Macrez (1 shared paper)
- Journals
- Biochemical Journal (2 papers)Analytical Biochemistry (1 paper)European Journal of Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)The FASEB Journal (1 paper)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Torsten Exner
9 papers receiving 446 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 107
- Molecular Biology 375
- Cell Biology 59
- Immunology and Allergy 18
- Genetics 28
Countries citing papers authored by Torsten Exner
This map shows the geographic impact of Torsten Exner'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 Torsten Exner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Exner more than expected).
Fields of papers citing papers by Torsten Exner
This network shows the impact of papers produced by Torsten Exner. 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 Torsten Exner. The network helps show where Torsten Exner may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Exner, 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 | 1998 | 172 | |
| 2 | 1999 | 105 | |
| 3 | 1998 | 54 | |
| 4 | 1999 | 39 | |
| 5 | 1996 | 34 | |
| 6 | 1997 | 25 | |
| 7 | 1999 | 19 | |
| 8 | 1996 | 15 | |
| 9 | 1998 | 1 |
About Torsten Exner
Torsten Exner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Allergy, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 464 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (2 papers), Cell Adhesion Molecules Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (107 citations), Molecular Biology (375 citations), Cell Biology (59 citations), Immunology and Allergy (18 citations) and Genetics (28 citations). Torsten Exner has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Bernd Nürnberg, Udo Maier, Daniela Leopoldt, Reinhard Wetzker, Theodor Hanck, Jean Mironneau, Patricia Viard, Nathalie Macrez, Gudrun Ahnert‐Hilger and Theo Schäfer. Their work appears in journals such as Biochemical Journal, Analytical Biochemistry, European Journal of Biochemistry, Proceedings of the National Academy of Sciences and The FASEB Journal.
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.