Benjamin Werner
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
Papers in
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- Cancer Genomics and Diagnostics 29
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- Genetic factors in colorectal cancer 14
- Co-authors
- Andrea Sottoriva (15 shared papers)Marc J Williams (9 shared papers)Trevor A. Graham (9 shared papers)Chris P. Barnes (6 shared papers)Arne Traulsen (14 shared papers)David Dingli (9 shared papers)Timon Heide (3 shared papers)Weini Huang (9 shared papers)
- Journals
- Nature Genetics (9 papers)Nature Communications (4 papers)Cancer Discovery (3 papers)eLife (3 papers)Journal of The Royal Society Interface (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Benjamin Werner
51 papers receiving 2.0k citations
Benjamin Werner's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 1.1k
- Modeling and Simulation 284
- Oncology 508
- Pathology and Forensic Medicine 276
- Genetics 414
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 53 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 | 431 |
| 2 | 2018 | 185 | |
| 3 | 2018 | 158 | |
| 4 | 2022 | 112 | |
| 5 | 2022 | 108 | |
| 6 | 2020 | 88 | |
| 7 | 2015 | 76 | |
| 8 | 2020 | 74 | |
| 9 | 2020 | 72 | |
| 10 | 2018 | 61 | |
| 11 | 2011 | 48 | |
| 12 | 2019 | 48 | |
| 13 | 2020 | 45 | |
| 14 | 2016 | 44 | |
| 15 | 2023 | 39 | |
| 16 | 2017 | 37 | |
| 17 | 2024 | 37 | |
| 18 | 2021 | 34 | |
| 19 | 2013 | 33 | |
| 20 | 2020 | 29 |
About Benjamin Werner
Benjamin Werner is a scholar working on Cancer Research, Pathology and Forensic Medicine, Genetics, Modeling and Simulation and Genetics, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (29 papers), Evolution and Genetic Dynamics (16 papers), Genetic factors in colorectal cancer (14 papers), Single-cell and spatial transcriptomics (11 papers), Mathematical Biology Tumor Growth (4 papers), Glioma Diagnosis and Treatment (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 Cancer Research (1.1k citations), Modeling and Simulation (284 citations), Oncology (508 citations), Pathology and Forensic Medicine (276 citations) and Genetics (414 citations). Benjamin Werner has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrea Sottoriva, Marc J Williams, Trevor A. Graham, Chris P. Barnes, Arne Traulsen, David Dingli, Timon Heide, Weini Huang, Christina N. Curtis and Giulio Caravagna. Their work appears in journals such as Nature Genetics, Nature Communications, Cancer Discovery, eLife and Journal of The Royal Society Interface.
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.