Phillip Gray
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
Papers in
-
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 2
- Biomedical Text Mining and Ontologies 1
- Genetics 6
- BRCA gene mutations in cancer 4
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 1
- Co-authors
- Brigette Tippin Davis (2 shared papers)Holly LaDuca (2 shared papers)Patrick Reineke (1 shared paper)Stephanie Gutierrez (1 shared paper)Kate Krempely (1 shared paper)Aaron Elliott (3 shared papers)Thomas G. Chappell (3 shared papers)Pierre‐Olivier Vidalain (1 shared paper)
- Journals
- Genetics in Medicine (2 papers)Genes & Development (1 paper)Frontiers in Oncology (1 paper)Journal of Clinical Oncology (1 paper)Cancers (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Phillip Gray
10 papers receiving 345 citations
Peers
Comparison fields: 5 of 82
- Aging 39
- Genetics 173
- Cancer Research 59
- Public Health, Environmental and Occupational Health 76
- Molecular Biology 123
Countries citing papers authored by Phillip Gray
This map shows the geographic impact of Phillip 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 Phillip Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Gray more than expected).
Fields of papers citing papers by Phillip Gray
This network shows the impact of papers produced by Phillip 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 Phillip Gray. The network helps show where Phillip Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip 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 | 2018 | 176 | |
| 2 | 2006 | 52 | |
| 3 | 2015 | 46 | |
| 4 | 2014 | 23 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2006 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2017 | 2 | |
| 10 | 2008 | 1 | |
| 11 | 2020 | 0 |
About Phillip Gray
Phillip Gray is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (3 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers), Ferroptosis and cancer prognosis (2 papers), Genetic Associations and Epidemiology (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Aging (39 citations), Genetics (173 citations), Cancer Research (59 citations), Public Health, Environmental and Occupational Health (76 citations) and Molecular Biology (123 citations). Phillip Gray has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Brigette Tippin Davis, Holly LaDuca, Patrick Reineke, Stephanie Gutierrez, Kate Krempely, Aaron Elliott, Thomas G. Chappell, Pierre‐Olivier Vidalain, Guillaume Lettre and Marc Vidal. Their work appears in journals such as Genetics in Medicine, Genes & Development, Frontiers in Oncology, Journal of Clinical Oncology and Cancers.
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.