Moritz Gerstung
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Health Informatics top 2%
Papers in
-
- Cancer Genomics and Diagnostics 27
- Aging 2
- Co-authors
- Peter J. CampbellIñigo MartincorenaPeter Van LooMichael R. StrattonNiko BeerenwinkelArtem ShmatkoPhilip H. JonesKeiran Raine
- Journals
- Nature Communications (9 papers)Nature Genetics (5 papers)PLoS ONE (5 papers)Blood (5 papers)Nature (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Moritz Gerstung
53 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cancer Research 2.2k
- Health Informatics 71
- Molecular Biology 3.4k
- Aging 73
- Oncology 1.1k
Countries citing papers authored by Moritz Gerstung
This map shows the geographic impact of Moritz Gerstung'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 Moritz Gerstung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Gerstung more than expected).
Fields of papers citing papers by Moritz Gerstung
This network shows the impact of papers produced by Moritz Gerstung. 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 Moritz Gerstung. The network helps show where Moritz Gerstung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Moritz Gerstung, 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 | 2025 | 4 | |
| 2 | 2025 | 2 | |
| 3 | Single-cell and spatial transcriptomics analysis of non-small cell lung cancer Hit paper breakdown → | 2024 | 64 |
| 4 | 2024 | 10 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 50 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 110 | |
| 9 | 2022 | 25 | |
| 10 | Artificial intelligence in histopathology: enhancing cancer research and clinical oncology Hit paper breakdown → | 2022 | 239 |
| 11 | 2022 | 18 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 105 | |
| 14 | 2021 | 0 | |
| 15 | 2020 | 77 | |
| 16 | Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis Hit paper breakdown → | 2020 | 367 |
| 17 | 2020 | 106 | |
| 18 | 2020 | 137 | |
| 19 | 2019 | 39 | |
| 20 | High burden and pervasive positive selection of somatic mutations in normal human skin Hit paper breakdown → | 2015 | 1123 |
About Moritz Gerstung
Moritz Gerstung is a scholar working on Cancer Research, Aging, Hematology, Biophysics and Genetics, having authored 55 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (27 papers), Acute Myeloid Leukemia Research (8 papers), Single-cell and spatial transcriptomics (6 papers), DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (5 papers), AI in cancer detection (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cancer Research (2.2k citations), Health Informatics (71 citations), Molecular Biology (3.4k citations), Aging (73 citations) and Oncology (1.1k citations). Moritz Gerstung has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Peter J. Campbell, Iñigo Martincorena, Peter Van Loo, Michael R. Stratton, Niko Beerenwinkel, Artem Shmatko, Philip H. Jones, Keiran Raine, Kerstin Haase and Helen Davies. Their work appears in journals such as Nature Communications, Nature Genetics, PLoS ONE, Blood and Nature.
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.