Iñigo Martincorena
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 2%
- Genetics top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Peter J. CampbellMichael R. StrattonMoritz GerstungPeter Van LooPhilip H. JonesKevin J. DawsonNicholas M. LuscombePeter Ellis
- Topics
- Cancer Genomics and Diagnostics (23 papers)Genetic factors in colorectal cancer (8 papers)Evolution and Genetic Dynamics (8 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Iñigo Martincorena
41 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 3.5k
- Cancer Research 2.6k
- Oncology 1.2k
- Genetics 1.1k
- Pathology and Forensic Medicine 740
Countries citing papers authored by Iñigo Martincorena
This map shows the geographic impact of Iñigo Martincorena'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 Iñigo Martincorena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iñigo Martincorena more than expected).
Fields of papers citing papers by Iñigo Martincorena
This network shows the impact of papers produced by Iñigo Martincorena. 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 Iñigo Martincorena. The network helps show where Iñigo Martincorena may publish in the future.
Co-authorship network of co-authors of Iñigo Martincorena
This figure shows the co-authorship network connecting the top 25 collaborators of Iñigo Martincorena. A scholar is included among the top collaborators of Iñigo Martincorena based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iñigo Martincorena. Iñigo Martincorena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 47 | |
| 7 | 28 | |
| 8 | 75 | |
| 9 | 94 | |
| 10 | 1 | |
| 11 | 67 | |
| 12 | 106 | |
| 13 | 137 | |
| 14 | 95 | |
| 15 | 90 | |
| 16 | Somatic mutant clones colonize the human esophagus with agebreakdown → | 651 |
| 17 | 42 | |
| 18 | High burden and pervasive positive selection of somatic mutations in normal human skinbreakdown → | 1123 |
| 19 | 133 | |
| 20 | 331 |
About Iñigo Martincorena
Iñigo Martincorena is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Biology, having authored 45 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (23 papers), Genetic factors in colorectal cancer (8 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Cancer Research (2.6k citations), Aging (106 citations) and Molecular Biology (3.5k citations). Iñigo Martincorena has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter J. Campbell, Michael R. Stratton, Moritz Gerstung, Peter Van Loo, Philip H. Jones, Kevin J. Dawson, Nicholas M. Luscombe, Peter Ellis, Keiran Raine and Kerstin Haase. Their work appears in journals such as Nature, Science and Cell.
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.