Joe W. Gray

99.9k citations
487 papers · 46.4k indexed · 19 hit papers · h-index 99

Impact in

  • Cancer Research top 0.02%
    • Cancer Genomics and Diagnostics
  • Genetics top 0.02%
    • Genomic variations and chromosomal abnormalities

Papers in

Joe W. Gray

475 papers receiving 45.1k citations

Hit Papers

Development of a nanoparticle-based immunotherapy targeting PD-L1 and PLK1 for lung cancer treatment 2022 · 140 citations
140198320261997201150010001.5k

Peers

Joe W. Gray
Comparison fields: 5 of 201
  • Cancer Research 10.8k
  • Genetics 12.1k
  • Oncology 11.5k
  • Molecular Biology 26.8k
  • Cell Biology 3.9k
Replace Olli Kallioniemi with:
Olli Kallioniemi Finland
Michael Wigler United States
Chris Sander United States
Stuart L. Schreiber United States
Robert Tjian United States
Ruedi Aebersold Switzerland
John D. Minna United States
Daniel A. Haber United States
Arnold J. Levine United States
Vamsi K. Mootha United States
Joe W. Gray relative to Olli Kallioniemi Finland Olli Kallioniemi's profile →
Citations per field
00.5×1.5×2.1×
Olli Kallioniemi · 1×
Citations per year

Countries citing papers authored by Joe W. Gray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Joe W. Gray Line = papers co-authored together Joe W. Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202024
2 201757
3 201751
4 201727
5 201370
6 201254
7 2012219
8 201154
9 2011159
10 200917
11 200948
12 2009111
13 2008130
14 2007110
15 2007295
16 2006340
17 200589
18 2004401
19 200422
20
Induction of Tumors in Mice by Genomic Hypomethylation
Hit paper breakdown →
20031150

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.

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