Thomas Hesterkamp
Impact in
- Molecular Medicine top 10%
- Molecular Biology top 10%
- Heat shock proteins research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
-
- Heat shock proteins research 5
- Protein Structure and Dynamics 4
- Advanced Biosensing Techniques and Applications 3
- Signaling Pathways in Disease 2
-
- Computational Drug Discovery Methods 12
- Co-authors
- Bernd Bukau (4 shared papers)Mark Whittaker (8 shared papers)Elke Deuerling (2 shared papers)Hans Georg Mannherz (2 shared papers)Hans‐Joachim Schönfeld (1 shared paper)Hartwig Schröder (1 shared paper)Alexander Buchberger (1 shared paper)Alan G. Weeds (1 shared paper)
- Journals
- Pharmaceutics (2 papers)Drug Discovery Today Technologies (2 papers)Antibiotics (2 papers)SLAS DISCOVERY (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Thomas Hesterkamp
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 66
- Molecular Biology 856
- Computational Theory and Mathematics 193
- Immunology 246
- Cell Biology 128
Countries citing papers authored by Thomas Hesterkamp
This map shows the geographic impact of Thomas Hesterkamp'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 Thomas Hesterkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hesterkamp more than expected).
Fields of papers citing papers by Thomas Hesterkamp
This network shows the impact of papers produced by Thomas Hesterkamp. 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 Thomas Hesterkamp. The network helps show where Thomas Hesterkamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hesterkamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 146 | |
| 2 | 1996 | 123 | |
| 3 | 1998 | 103 | |
| 4 | 2022 | 100 | |
| 5 | 1997 | 87 | |
| 6 | 1996 | 66 | |
| 7 | 1993 | 65 | |
| 8 | 2007 | 49 | |
| 9 | 2009 | 45 | |
| 10 | 2010 | 42 | |
| 11 | 2006 | 39 | |
| 12 | 2008 | 39 | |
| 13 | 2010 | 37 | |
| 14 | 2010 | 33 | |
| 15 | 1992 | 31 | |
| 16 | 2020 | 27 | |
| 17 | 2015 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2009 | 16 | |
| 20 | 2020 | 13 |
About Thomas Hesterkamp
Thomas Hesterkamp is a scholar working on Molecular Biology, Computational Theory and Mathematics, Molecular Medicine, Pharmacology and Immunology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Heat shock proteins research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Protein Structure and Dynamics (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Signaling Pathways in Disease (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Molecular Medicine (66 citations), Molecular Biology (856 citations), Computational Theory and Mathematics (193 citations), Immunology (246 citations) and Cell Biology (128 citations). Thomas Hesterkamp has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bernd Bukau, Mark Whittaker, Elke Deuerling, Hans Georg Mannherz, Hans‐Joachim Schönfeld, Hartwig Schröder, Alexander Buchberger, Alan G. Weeds, John J. Barker and Rolf Müller. Their work appears in journals such as Pharmaceutics, Drug Discovery Today Technologies, Antibiotics, SLAS DISCOVERY and Current Topics in Medicinal 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.