David Herrmann
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cell Biology top 2%
- Cellular Mechanics and Interactions
Papers in
- Oncology 26
- Pancreatic and Hepatic Oncology Research 16
- Cancer Cells and Metastasis 8
- Cell Biology 11
- Cellular Mechanics and Interactions 10
- Co-authors
- Paul Timpson (25 shared papers)Jennifer P. Morton (6 shared papers)Claire Vennin (9 shared papers)James R. W. Conway (7 shared papers)Sean C. Warren (4 shared papers)Thomas R. Cox (4 shared papers)Gautier Follain (1 shared paper)Vincent Hyenne (1 shared paper)
- Journals
- Science Advances (5 papers)Cell Reports (5 papers)Nature Communications (5 papers)F1000Research (2 papers)Oncogene (2 papers)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
David Herrmann
58 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 109
- Oncology 1.3k
- Cell Biology 470
- Cancer Research 307
- Biophysics 146
- Molecular Biology 836
Countries citing papers authored by David Herrmann
This map shows the geographic impact of David Herrmann'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 David Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Herrmann more than expected).
Fields of papers citing papers by David Herrmann
This network shows the impact of papers produced by David Herrmann. 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 David Herrmann. The network helps show where David Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside David Herrmann, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 364 | |
| 2 | 2019 | 328 | |
| 3 | 2019 | 244 | |
| 4 | 2019 | 223 | |
| 5 | 2017 | 219 | |
| 6 | 2021 | 154 | |
| 7 | 2022 | 153 | |
| 8 | 2014 | 114 | |
| 9 | 2023 | 96 | |
| 10 | 2017 | 84 | |
| 11 | 2018 | 79 | |
| 12 | 2017 | 77 | |
| 13 | 2018 | 75 | |
| 14 | 2016 | 70 | |
| 15 | 2015 | 61 | |
| 16 | 2018 | 61 | |
| 17 | 2015 | 55 | |
| 18 | 2018 | 53 | |
| 19 | 2015 | 52 | |
| 20 | 2022 | 48 |
About David Herrmann
David Herrmann is a scholar working on Oncology, Cell Biology, Biophysics, Statistics, Probability and Uncertainty and Biomedical Engineering, having authored 63 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (16 papers), Cellular Mechanics and Interactions (10 papers), Cancer Cells and Metastasis (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Soft Robotics and Applications (5 papers), Meta-analysis and systematic reviews (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Structural Analysis and Optimization (3 papers). The work is most often cited by research in Oncology (1.3k citations), Cell Biology (470 citations), Cancer Research (307 citations), Biophysics (146 citations) and Molecular Biology (836 citations). David Herrmann has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Paul Timpson, Jennifer P. Morton, Claire Vennin, James R. W. Conway, Sean C. Warren, Thomas R. Cox, Gautier Follain, Vincent Hyenne, Naël Osmani and Jacky G. Goetz. Their work appears in journals such as Science Advances, Cell Reports, Nature Communications, F1000Research and Oncogene.
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.