Michael Datto
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 13
- Oncology top 1%
- Cancer-related Molecular Pathways 10
- Colorectal Cancer Treatments and Studies 5
- Molecular Biology top 1%
- TGF-β signaling in diseases 14
- Gene expression and cancer classification 5
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- Genetic factors in colorectal cancer 11
- Immunology and Allergy top 5%
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- Lung Cancer Treatments and Mutations 8
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- Genomics and Rare Diseases 4
- Co-authors
- Joshua P. FrederickXiao‐Fan WangNicole T. LiberatiY LiJoanne Fanelli PanusDenise HoweYin XiongYong Yu
- Journals
- Journal of Clinical Oncology (6 papers)Journal of Molecular Diagnostics (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesFranceFinland
In The Last Decade
Michael Datto
66 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 1.4k
- Oncology 2.2k
- Molecular Biology 4.1k
- Pathology and Forensic Medicine 875
- Immunology and Allergy 177
Countries citing papers authored by Michael Datto
This map shows the geographic impact of Michael Datto'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 Michael Datto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Datto more than expected).
Fields of papers citing papers by Michael Datto
This network shows the impact of papers produced by Michael Datto. 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 Michael Datto. The network helps show where Michael Datto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Datto, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 2 | |
| 6 | Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancerbreakdown → | 2016 | 1205 |
| 7 | 2014 | 13 | |
| 8 | 2014 | 35 | |
| 9 | 2012 | 31 | |
| 10 | 2011 | 52 | |
| 11 | 2011 | 11 | |
| 12 | 2010 | 33 | |
| 13 | 2010 | 84 | |
| 14 | 2010 | 63 | |
| 15 | 2009 | 47 | |
| 16 | 2008 | 35 | |
| 17 | 2008 | 188 | |
| 18 | 2006 | 15 | |
| 19 | 1999 | 52 | |
| 20 | 1997 | 85 |
About Michael Datto
Michael Datto is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Health Informatics and Genetics, having authored 69 papers that have together received 6.4k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Cancer Genomics and Diagnostics (13 papers), Genetic factors in colorectal cancer (11 papers), Cancer-related Molecular Pathways (10 papers), Lung Cancer Treatments and Mutations (8 papers), Gene expression and cancer classification (5 papers), Colorectal Cancer Treatments and Studies (5 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (2.2k citations), Molecular Biology (4.1k citations), Pathology and Forensic Medicine (875 citations) and Immunology and Allergy (177 citations). Michael Datto has collaborated with scholars based in United States, France and Finland. Frequent co-authors include Joshua P. Frederick, Xiao‐Fan Wang, Xiao‐Fan Wang, Nicole T. Liberati, Y Li, Joanne Fanelli Panus, Denise Howe, Yin Xiong, Yong Yu and Carolyn Wong. Their work appears in journals such as Journal of Clinical Oncology, Journal of Molecular Diagnostics, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Molecular and Cellular 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.