David Herrmann
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 3
- Oncology 16
- Cancer Cells and Metastasis 9
- Pancreatic and Hepatic Oncology Research 8
- Co-authors
- Paul Timpson (26 shared papers)Jennifer P. Morton (7 shared papers)Claire Vennin (8 shared papers)Sean Warren (5 shared papers)James R. W. Conway (7 shared papers)Jacky G. Goetz (1 shared paper)Naël Osmani (1 shared paper)Sébastien Harlepp (1 shared paper)
- Journals
- Oncogene (2 papers)Developmental Dynamics (2 papers)Small GTPases (2 papers)Nature Reviews Methods Primers (1 paper)Science Advances (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
David Herrmann
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Oncology 623
- Cancer Research 243
- Cell Biology 178
- Biophysics 54
- Immunology 168
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 297 | |
| 2 | 2019 | 229 | |
| 3 | 2014 | 106 | |
| 4 | 2017 | 79 | |
| 5 | 2005 | 74 | |
| 6 | 2018 | 69 | |
| 7 | 2016 | 67 | |
| 8 | 2015 | 57 | |
| 9 | 2018 | 42 | |
| 10 | 2022 | 38 | |
| 11 | 2019 | 36 | |
| 12 | 2018 | 31 | |
| 13 | 2016 | 31 | |
| 14 | 2015 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2010 | 27 | |
| 17 | 2018 | 25 | |
| 18 | 2017 | 23 | |
| 19 | 2017 | 19 | |
| 20 | 2022 | 12 |
About David Herrmann
David Herrmann is a scholar working on Molecular Biology, Oncology, Cell Biology, Biomedical Engineering and Genetics, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Structural Analysis and Optimization (5 papers), Cellular Mechanics and Interactions (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Meta-analysis and systematic reviews (4 papers), 3D Printing in Biomedical Research (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Oncology (623 citations), Cancer Research (243 citations), Cell Biology (178 citations), Biophysics (54 citations) and Immunology (168 citations). David Herrmann has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Paul Timpson, Jennifer P. Morton, Claire Vennin, Sean Warren, James R. W. Conway, Jacky G. Goetz, Naël Osmani, Sébastien Harlepp, Brooke Pereira and Gautier Follain. Their work appears in journals such as Oncogene, Developmental Dynamics, Small GTPases, Nature Reviews Methods Primers and Science Advances.
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.