Benjamin Werner
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 23
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- Single-cell and spatial transcriptomics 10
- Co-authors
- Andrea Sottoriva (16 shared papers)Marc Williams (10 shared papers)Trevor A. Graham (10 shared papers)C. Barnes (7 shared papers)Arne Traulsen (15 shared papers)David Dingli (9 shared papers)Timon Heide (3 shared papers)Weini Huang (8 shared papers)
- Journals
- Nature Genetics (6 papers)Nature Communications (4 papers)Journal of The Royal Society Interface (3 papers)eLife (3 papers)PLoS Computational Biology (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Benjamin Werner
41 papers receiving 1.4k citations
Benjamin Werner's Hit Papers
Peers
Comparison fields: 5 of 96
- Modeling and Simulation 262
- Cancer Research 698
- Genetics 342
- Oncology 301
- Pathology and Forensic Medicine 156
Countries citing papers authored by Benjamin Werner
This map shows the geographic impact of Benjamin Werner'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 Benjamin Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Werner more than expected).
Fields of papers citing papers by Benjamin Werner
This network shows the impact of papers produced by Benjamin Werner. 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 Benjamin Werner. The network helps show where Benjamin Werner may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Werner, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of neutral tumor evolution across cancer types Hit paper breakdown → | 2016 | 376 |
| 2 | 2018 | 141 | |
| 3 | 2020 | 76 | |
| 4 | 2015 | 67 | |
| 5 | 2020 | 63 | |
| 6 | 2020 | 60 | |
| 7 | 2018 | 50 | |
| 8 | 2011 | 46 | |
| 9 | 2016 | 43 | |
| 10 | 2019 | 43 | |
| 11 | 2017 | 36 | |
| 12 | 2020 | 36 | |
| 13 | 2023 | 35 | |
| 14 | 2013 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2020 | 27 | |
| 17 | 2018 | 22 | |
| 18 | 2014 | 21 | |
| 19 | 2016 | 19 | |
| 20 | 2019 | 17 |
About Benjamin Werner
Benjamin Werner is a scholar working on Cancer Research, Molecular Biology, Genetics, Pathology and Forensic Medicine and Genetics, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (23 papers), Evolution and Genetic Dynamics (14 papers), Genetic factors in colorectal cancer (11 papers), Single-cell and spatial transcriptomics (10 papers), Mathematical Biology Tumor Growth (5 papers), Cancer Cells and Metastasis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Modeling and Simulation (262 citations), Cancer Research (698 citations), Genetics (342 citations), Oncology (301 citations) and Pathology and Forensic Medicine (156 citations). Benjamin Werner has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrea Sottoriva, Marc Williams, Trevor A. Graham, C. Barnes, Arne Traulsen, David Dingli, Timon Heide, Weini Huang, Christina Curtis and Giulio Caravagna. Their work appears in journals such as Nature Genetics, Nature Communications, Journal of The Royal Society Interface, eLife and PLoS Computational 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.