Phillip Gray

599 total citations
11 papers, 357 citations indexed

About

Phillip Gray is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Phillip Gray has authored 11 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Phillip Gray's work include BRCA gene mutations in cancer (4 papers), Genomics and Rare Diseases (3 papers) and Cancer Genomics and Diagnostics (3 papers). Phillip Gray is often cited by papers focused on BRCA gene mutations in cancer (4 papers), Genomics and Rare Diseases (3 papers) and Cancer Genomics and Diagnostics (3 papers). Phillip Gray collaborates with scholars based in United States, Switzerland and Spain. Phillip Gray's co-authors include Brigette Tippin Davis, Kate Krempely, Stephanie Gutierrez, Holly LaDuca, Patrick Reineke, Aaron Elliott, Thomas G. Chappell, Pierre Gressèns, Olaf Wolkenhauer and Marc Vidal and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and Molecular & Cellular Proteomics.

In The Last Decade

Phillip Gray

10 papers receiving 345 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Phillip Gray United States 8 173 123 76 59 42 11 357
D Hapangama United Kingdom 10 105 0.6× 75 0.6× 100 1.3× 36 0.6× 68 1.6× 15 641
Areege Mustafa Kamal Iraq 10 100 0.6× 85 0.7× 42 0.6× 37 0.6× 50 1.2× 19 383
Bastian Salewsky Germany 11 49 0.3× 148 1.2× 26 0.3× 25 0.4× 85 2.0× 15 298
Tatiana Tvrdik United States 11 224 1.3× 226 1.8× 48 0.6× 129 2.2× 31 0.7× 16 524
Clesson Turner United States 12 243 1.4× 224 1.8× 23 0.3× 63 1.1× 14 0.3× 40 499
Lindsay R. Stolzenburg United States 8 45 0.3× 190 1.5× 32 0.4× 89 1.5× 17 0.4× 10 324
Philippe Jacquet Switzerland 9 151 0.9× 414 3.4× 26 0.3× 49 0.8× 43 1.0× 15 645
Noa Hasky Israel 10 48 0.3× 97 0.8× 186 2.4× 27 0.5× 16 0.4× 13 353
Hannah Demond United Kingdom 11 103 0.6× 265 2.2× 192 2.5× 28 0.5× 10 0.2× 14 419
Shiny Titus United States 12 196 1.1× 316 2.6× 555 7.3× 52 0.9× 32 0.8× 26 874

Countries citing papers authored by Phillip Gray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Phillip Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Gray. A scholar is included among the top collaborators of Phillip Gray 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 Phillip Gray. Phillip Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Bilušić, Marijo, Daniel M. Girardi, Yan Zhou, et al.. (2020). Molecular Profiling of Exceptional Responders to Cancer Therapy. The Oncologist. 26(3). 186–195. 14 indexed citations
2.
Speare, Virginia, Carin R. Espenschied, Holly LaDuca, et al.. (2020). Paired tumor sequencing and germline testing in breast cancer management: An experience of a single academic center. Cancer Reports. 3(6). e1287–e1287.
3.
Richardson, Marcy E., Hansook Kim Chong, Wenbo Mu, et al.. (2018). DNA breakpoint assay reveals a majority of gross duplications occur in tandem reducing VUS classifications in breast cancer predisposition genes. Genetics in Medicine. 21(3). 683–693. 15 indexed citations
4.
Krempely, Kate, Holly LaDuca, Patrick Reineke, et al.. (2018). False-positive results released by direct-to-consumer genetic tests highlight the importance of clinical confirmation testing for appropriate patient care. Genetics in Medicine. 20(12). 1515–1521. 176 indexed citations
5.
Farber-Katz, Suzette, Vickie Hsuan, Sitao Wu, et al.. (2018). Quantitative Analysis of BRCA1 and BRCA2 Germline Splicing Variants Using a Novel RNA-Massively Parallel Sequencing Assay. Frontiers in Oncology. 8. 286–286. 14 indexed citations
6.
Bilušić, Marijo, Jianming Pei, Michael Slifker, et al.. (2017). Molecular profiling of cancer outliers.. Journal of Clinical Oncology. 35(15_suppl). e13025–e13025. 2 indexed citations
8.
Dammann, Olaf, Phillip Gray, Pierre Gressèns, Olaf Wolkenhauer, & Alan Leviton. (2014). Systems Epidemiology: What’s in a Name?. Online Journal of Public Health Informatics. 6(3). e198–e198. 23 indexed citations
9.
Chappell, Thomas G. & Phillip Gray. (2008). Protein Interactions: Analysis Using Allele Libraries. Advances in biochemical engineering, biotechnology. 110. 47–66. 1 indexed citations
10.
Kritikou, Ekaterini A., Stuart Milstein, Pierre‐Olivier Vidalain, et al.. (2006). C. elegans GLA-3 is a novel component of the MAP kinase MPK-1 signaling pathway required for germ cell survival. Genes & Development. 20(16). 2279–2292. 52 indexed citations
11.
Gray, Phillip, et al.. (2006). A Novel Approach for Generating Full-length, High Coverage Allele Libraries for the Analysis of Protein Interactions. Molecular & Cellular Proteomics. 6(3). 514–526. 14 indexed citations

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.

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