Dirk Kessler
Impact in
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- Protein Degradation and Inhibitors
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
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- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 5
- Protein Degradation and Inhibitors 5
- Protein Structure and Dynamics 2
- Protein Kinase Regulation and GTPase Signaling 2
- Protein Tyrosine Phosphatases 2
- Oncology 6
- Peptidase Inhibition and Analysis 3
- Co-authors
- Darryl B. McConnell (9 shared papers)Daniel Gerlach (2 shared papers)Norbert Kraut (2 shared papers)Georg E. Schulz (1 shared paper)B. Wolkerstorfer (7 shared papers)Lorenz Herdeis (1 shared paper)Moriz Mayer (6 shared papers)János Rétey (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Molecular Cancer Therapeutics (1 paper)Journal of Thoracic Oncology (1 paper)Journal of the American Chemical Society (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Dirk Kessler
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 293
- Oncology 80
- Computational Theory and Mathematics 43
- Spectroscopy 38
- Physical and Theoretical Chemistry 20
Countries citing papers authored by Dirk Kessler
This map shows the geographic impact of Dirk Kessler'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 Dirk Kessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Kessler more than expected).
Fields of papers citing papers by Dirk Kessler
This network shows the impact of papers produced by Dirk Kessler. 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 Dirk Kessler. The network helps show where Dirk Kessler may publish in the future.
Co-authors
The 25 scholars most cited alongside Dirk Kessler, 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 | 2021 | 69 | |
| 2 | 2020 | 59 | |
| 3 | 2020 | 55 | |
| 4 | 2020 | 51 | |
| 5 | 2021 | 40 | |
| 6 | 2004 | 29 | |
| 7 | 2017 | 26 | |
| 8 | 2019 | 16 | |
| 9 | 2015 | 16 | |
| 10 | 2020 | 13 | |
| 11 | 2025 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 1988 | 5 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 1986 | 1 | |
| 18 | 2025 | 0 |
About Dirk Kessler
Dirk Kessler is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Spectroscopy and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 399 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Protein Degradation and Inhibitors (5 papers), Molecular spectroscopy and chirality (3 papers), Peptidase Inhibition and Analysis (3 papers), Protein Structure and Dynamics (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Protein Tyrosine Phosphatases (2 papers) and Crystallography and molecular interactions (2 papers). The work is most often cited by research in Molecular Biology (293 citations), Oncology (80 citations), Computational Theory and Mathematics (43 citations), Spectroscopy (38 citations) and Physical and Theoretical Chemistry (20 citations). Dirk Kessler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Darryl B. McConnell, Daniel Gerlach, Norbert Kraut, Georg E. Schulz, B. Wolkerstorfer, Lorenz Herdeis, Moriz Mayer, János Rétey, Tim Clausen and Leonhard Geist. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, Journal of Thoracic Oncology, Journal of the American Chemical Society and Journal of Molecular Biology.
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.