Timon Heide
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
-
- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 3
- Wnt/β-catenin signaling in development and cancer 2
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Trevor A. Graham (6 shared papers)Andrea Sottoriva (6 shared papers)Marc Williams (3 shared papers)Benjamin Werner (3 shared papers)C. Barnes (2 shared papers)Christina Curtis (1 shared paper)Giulio Caravagna (3 shared papers)Vera Kloten (4 shared papers)
- Journals
- Nature Genetics (2 papers)Nature Communications (2 papers)Epigenetics (2 papers)Journal of Clinical Oncology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Timon Heide
14 papers receiving 478 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 248
- Modeling and Simulation 47
- Pathology and Forensic Medicine 74
- Molecular Biology 277
- Genetics 102
Countries citing papers authored by Timon Heide
This map shows the geographic impact of Timon Heide'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 Timon Heide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timon Heide more than expected).
Fields of papers citing papers by Timon Heide
This network shows the impact of papers produced by Timon Heide. 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 Timon Heide. The network helps show where Timon Heide may publish in the future.
Co-authors
The 25 scholars most cited alongside Timon Heide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 134 | |
| 2 | 2020 | 57 | |
| 3 | 2019 | 43 | |
| 4 | 2023 | 36 | |
| 5 | 2017 | 33 | |
| 6 | 2015 | 32 | |
| 7 | 2019 | 29 | |
| 8 | 2020 | 25 | |
| 9 | 2015 | 22 | |
| 10 | 2017 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2016 | 18 | |
| 13 | 2016 | 13 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 0 |
About Timon Heide
Timon Heide is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Surgery, having authored 15 papers that have together received 482 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genetic factors in colorectal cancer (4 papers), Epigenetics and DNA Methylation (4 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Chemical Analysis and Environmental Impact (1 paper). The work is most often cited by research in Cancer Research (248 citations), Modeling and Simulation (47 citations), Pathology and Forensic Medicine (74 citations), Molecular Biology (277 citations) and Genetics (102 citations). Timon Heide has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Trevor A. Graham, Andrea Sottoriva, Marc Williams, Benjamin Werner, C. Barnes, Christina Curtis, Giulio Caravagna, Vera Kloten, Ruth Knüchel and Edgar Dahl. Their work appears in journals such as Nature Genetics, Nature Communications, Epigenetics, Journal of Clinical Oncology 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.