R Gray

3.1k citations
15 papers · 732 · h-index 10

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies

Papers in

R Gray

14 papers receiving 697 citations

Peers

R Gray
Comparison fields: 5 of 81
  • Cancer Research 313
  • Oncology 445
  • Pulmonary and Respiratory Medicine 272
  • Genetics 156
  • Pathology and Forensic Medicine 85
Replace Tamara Shenkier with:
Tamara Shenkier Canada
Annalisa Volpi Italy
Samanta Salvi Italy
R. Molina Spain
Eleanor Gutteridge United Kingdom
Giacomo Pelizzari Italy
Baruch Klein Israel
Agnieszka Czarniecka Poland
Yasuro Fukuyama Japan
J P Basuyau France
R Gray relative to Tamara Shenkier Canada Tamara Shenkier's profile →
Citations per field
00.5×
Tamara Shenkier · 1×
Citations per year

Countries citing papers authored by R Gray

Since Specialization
Citations

This map shows the geographic impact of R 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 R Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Gray more than expected).

Fields of papers citing papers by R Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R 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 R Gray. The network helps show where R Gray may publish in the future.

Co-authors

The 25 scholars most cited alongside R 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 R Gray Line = papers co-authored together R Gray links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005276
2 1996138
3 199392
4 199063
5 199248
6
Postoperative chemotherapy and chemohormonal therapy in women with node-positive breast cancer.
198634
7 200523
8 200717
9
Prognostic potential of DNA flow cytometry measurements in node-negative breast cancer patients: preliminary analysis of an intergroup study (INT 0076).
199216
10 199314
11 20058
12 20251
13 19931
14 20151
15 20110

About R Gray

R Gray is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Genetics and Hepatology, having authored 15 papers that have together received 732 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer Treatment and Pharmacology (5 papers), Cancer Genomics and Diagnostics (3 papers), Advanced Breast Cancer Therapies (3 papers), Estrogen and related hormone effects (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Cancer Research (313 citations), Oncology (445 citations), Pulmonary and Respiratory Medicine (272 citations), Genetics (156 citations) and Pathology and Forensic Medicine (85 citations). R Gray has collaborated with scholars based in United States, South Africa and Sweden. Frequent co-authors include Joan H. Schiller, Julie R. Brahmer, David H. Johnson, Alan B. Sandler, Afshin Dowlati, D. C. Tormey, Michael C. Perry, H. C. Falkson, Kennedy W. Gilchrist and Douglas C. Tormey. Their work appears in journals such as Journal of Clinical Oncology, Cancer, JNCI Journal of the National Cancer Institute, Clinical Chemistry and Lung Cancer.

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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