Darrell M. Gray

1.9k citations
61 papers · 988 · 1 hit paper · h-index 17

Impact in

  • Health top 5%
    • Health disparities and outcomes
  • Oncology top 10%
    • Colorectal Cancer Screening and Detection
    • Global Cancer Incidence and Screening

Papers in

Darrell M. Gray

59 papers receiving 963 citations

Darrell M. Gray's Hit Papers

A Cell-free DNA Blood-Based Test for Colorectal Cancer Screening 2024 · 163 citations
1630+1Years since publication50100150

Peers

Darrell M. Gray
Comparison fields: 5 of 108
  • Health 110
  • Oncology 332
  • Modeling and Simulation 37
  • General Health Professions 193
  • Cancer Research 102
Replace Hannah R. Abrams with:
Hannah R. Abrams United States
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Countries citing papers authored by Darrell M. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Darrell M. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Cell-free DNA Blood-Based Test for Colorectal Cancer Screening
Hit paper breakdown →
2024163
2 2020150
3 202062
4 201551
5 202148
6 201838
7 202138
8 202035
9 202331
10 202229
11 201425
12 202024
13 202118
14 202118
15 202117
16 202016
17 202116
18 201914
19
Factors associated with colorectal cancer screening intent and uptake among adult Non-Hispanic Black men.
202113
20 202411

About Darrell M. Gray

Darrell M. Gray is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Surgery and General Health Professions, having authored 61 papers that have together received 988 indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (13 papers), Colorectal Cancer Screening and Detection (13 papers), Global Health Workforce Issues (9 papers), Health disparities and outcomes (7 papers), Diversity and Career in Medicine (7 papers), Gastric Cancer Management and Outcomes (6 papers), Cardiac Health and Mental Health (6 papers) and Global Cancer Incidence and Screening (6 papers). The work is most often cited by research in Health (110 citations), Oncology (332 citations), Modeling and Simulation (37 citations), General Health Professions (193 citations) and Cancer Research (102 citations). Darrell M. Gray has collaborated with scholars based in United States, Canada and Ethiopia. Frequent co-authors include Rachel B. Issaka, Sophie Balzora, Adjoa Anyane‐Yeboa, Folasade P. May, Joshua J. Joseph, Timiya S. Nolan, John Gregory, Electra D. Paskett, Cecilia R. DeGraffinreid and Craig Eagle. Their work appears in journals such as The American Journal of Gastroenterology, Gastroenterology, PLoS ONE, Gastrointestinal Endoscopy and Journal of the American Heart Association.

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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