Stephen J. Chanock
Impact in
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
- Genetics top 0.05%
- Genetic Associations and Epidemiology
Papers in
- Genetics 195
- Genetic Associations and Epidemiology 100
- BRCA gene mutations in cancer 49
- Genomic variations and chromosomal abnormalities 36
-
- Cancer Genomics and Diagnostics 34
- Co-authors
- Mitchell J. MachielaNathaniel RothmanMontserrat García‐ClosasMeredith YeagerSholom WacholderNilanjan ChatterjeeLaure El ghormliDavid J. Hunter
- Journals
- Cancer Epidemiology Biomarkers & Prevention (49 papers)Carcinogenesis (34 papers)Cancer Research (27 papers)Blood (27 papers)PLoS ONE (24 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Stephen J. Chanock
576 papers receiving 27.9k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Cancer Research 3.9k
- Genetics 6.3k
- Immunology 4.2k
- Molecular Biology 11.5k
- Oncology 4.5k
Countries citing papers authored by Stephen J. Chanock
This map shows the geographic impact of Stephen J. Chanock'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 Stephen J. Chanock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Chanock more than expected).
Fields of papers citing papers by Stephen J. Chanock
This network shows the impact of papers produced by Stephen J. Chanock. 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 Stephen J. Chanock. The network helps show where Stephen J. Chanock may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen J. Chanock, 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 | 7 | |
| 2 | 2024 | 1 | |
| 3 | 2019 | 8 | |
| 4 | 2017 | 7 | |
| 5 | 2017 | 98 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 100 | |
| 8 | 2016 | 22 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 8 | |
| 11 | 2013 | 15 | |
| 12 | 2012 | 57 | |
| 13 | 2011 | 18 | |
| 14 | 2010 | 107 | |
| 15 | 2010 | 10 | |
| 16 | 2010 | 85 | |
| 17 | 2009 | 46 | |
| 18 | 2009 | 38 | |
| 19 | 2009 | 125 | |
| 20 | 2006 | 105 |
About Stephen J. Chanock
Stephen J. Chanock is a scholar working on Genetics, Cancer Research, Immunology, Pathology and Forensic Medicine and Molecular Biology, having authored 588 papers that have together received 28.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (100 papers), Epigenetics and DNA Methylation (55 papers), BRCA gene mutations in cancer (49 papers), DNA Repair Mechanisms (38 papers), Genomic variations and chromosomal abnormalities (36 papers), Cancer Genomics and Diagnostics (34 papers), Genetic factors in colorectal cancer (34 papers) and Lymphoma Diagnosis and Treatment (31 papers). The work is most often cited by research in Cancer Research (3.9k citations), Genetics (6.3k citations), Immunology (4.2k citations), Molecular Biology (11.5k citations) and Oncology (4.5k citations). Stephen J. Chanock has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mitchell J. Machiela, Nathaniel Rothman, Montserrat García‐Closas, Meredith Yeager, Sholom Wacholder, Nilanjan Chatterjee, Laure El ghormli, David J. Hunter, Charles B. Foster and Peter Kraft. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Carcinogenesis, Cancer Research, Blood and PLoS ONE.
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.