Thomas Hesterkamp
Impact in
- Molecular Medicine top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 12
-
- Antibiotic Resistance in Bacteria 5
- Co-authors
- Bernd Bukau (4 shared papers)Mark A. Whittaker (8 shared papers)Elke Deuerling (2 shared papers)Hans Georg Mannherz (2 shared papers)John J. Barker (5 shared papers)Alan G. Weeds (1 shared paper)R. P. A. Müller (7 shared papers)Joseph Barker (1 shared paper)
- Journals
- Antibiotics (2 papers)Pharmaceutics (2 papers)Drug Discovery Today Technologies (2 papers)mSphere (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Thomas Hesterkamp
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 70
- Computational Theory and Mathematics 205
- Molecular Biology 753
- Immunology 202
- Pharmacology 130
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 | 153 | |
| 2 | 2022 | 118 | |
| 3 | 1998 | 106 | |
| 4 | 1997 | 88 | |
| 5 | 1996 | 67 | |
| 6 | 1993 | 67 | |
| 7 | 2007 | 51 | |
| 8 | 2009 | 48 | |
| 9 | 2008 | 44 | |
| 10 | 2006 | 43 | |
| 11 | 2010 | 42 | |
| 12 | 2010 | 38 | |
| 13 | 2010 | 37 | |
| 14 | 1992 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2022 | 22 | |
| 17 | 2015 | 22 | |
| 18 | 2009 | 16 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 12 |
About Thomas Hesterkamp
Thomas Hesterkamp is a scholar working on Computational Theory and Mathematics, Molecular Medicine, Molecular Biology, Biophysics and Pharmacology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Antibiotic Resistance in Bacteria (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Heat shock proteins research (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers), Protein Structure and Dynamics (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Molecular Medicine (70 citations), Computational Theory and Mathematics (205 citations), Molecular Biology (753 citations), Immunology (202 citations) and Pharmacology (130 citations). Thomas Hesterkamp has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bernd Bukau, Mark A. Whittaker, Elke Deuerling, Hans Georg Mannherz, John J. Barker, Alan G. Weeds, R. P. A. Müller, Joseph Barker, Günter Krämer and Holger Patzelt. Their work appears in journals such as Antibiotics, Pharmaceutics, Drug Discovery Today Technologies, mSphere and PLoS neglected tropical diseases.
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.