Joe W. Gray
Impact in
- Cancer Research top 0.02%
- Cancer Genomics and Diagnostics
- Genetics top 0.02%
- Genomic variations and chromosomal abnormalities
Papers in
- Cancer Research 102
- Cancer Genomics and Diagnostics 74
- Co-authors
- Daniel PinkelT. StraumeColin C. CollinsAnne KallioniemiOlli KallioniemiDan PinkelFred WaldmanDamir Sudar
- Journals
- Cancer Research (34 papers)Cytometry (28 papers)Proceedings of the National Academy of Sciences (20 papers)Nature Genetics (14 papers)Genomics (11 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Joe W. Gray
475 papers receiving 45.1k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Cancer Research 10.8k
- Genetics 12.1k
- Oncology 11.5k
- Molecular Biology 26.8k
- Cell Biology 3.9k
Countries citing papers authored by Joe W. Gray
This map shows the geographic impact of Joe W. Gray'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 Joe W. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe W. Gray more than expected).
Fields of papers citing papers by Joe W. Gray
This network shows the impact of papers produced by Joe W. Gray. 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 Joe W. Gray. The network helps show where Joe W. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Joe W. Gray, 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 | 2020 | 24 | |
| 2 | 2017 | 57 | |
| 3 | 2017 | 51 | |
| 4 | 2017 | 27 | |
| 5 | 2013 | 70 | |
| 6 | 2012 | 54 | |
| 7 | 2012 | 219 | |
| 8 | 2011 | 54 | |
| 9 | 2011 | 159 | |
| 10 | 2009 | 17 | |
| 11 | 2009 | 48 | |
| 12 | 2009 | 111 | |
| 13 | 2008 | 130 | |
| 14 | 2007 | 110 | |
| 15 | 2007 | 295 | |
| 16 | 2006 | 340 | |
| 17 | 2005 | 89 | |
| 18 | 2004 | 401 | |
| 19 | 2004 | 22 | |
| 20 | Induction of Tumors in Mice by Genomic Hypomethylation Hit paper breakdown → | 2003 | 1150 |
About Joe W. Gray
Joe W. Gray is a scholar working on Structural Biology, Cancer Research, Biophysics, Genetics and Molecular Biology, having authored 487 papers that have together received 46.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (99 papers), Cancer Genomics and Diagnostics (74 papers), Chromosomal and Genetic Variations (50 papers), Genomics and Chromatin Dynamics (49 papers), Gene expression and cancer classification (45 papers), Molecular Biology Techniques and Applications (42 papers), Cancer-related Molecular Pathways (29 papers) and Cell Image Analysis Techniques (29 papers). The work is most often cited by research in Cancer Research (10.8k citations), Genetics (12.1k citations), Oncology (11.5k citations), Molecular Biology (26.8k citations) and Cell Biology (3.9k citations). Joe W. Gray has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel Pinkel, T. Straume, Colin C. Collins, Anne Kallioniemi, Olli Kallioniemi, Dan Pinkel, Fred Waldman, Damir Sudar, Wen-Lin Kuo and Richard Segraves. Their work appears in journals such as Cancer Research, Cytometry, Proceedings of the National Academy of Sciences, Nature Genetics and Genomics.
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.