Matthew D. Gray

4.8k citations
48 papers · 3.3k · h-index 27

Impact in

Papers in

    • HIV Research and Treatment 12
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 8

Matthew D. Gray

47 papers receiving 3.1k citations

Peers

Matthew D. Gray
Comparison fields: 5 of 112
  • Aging 139
  • Virology 300
  • Cancer Research 603
  • Molecular Biology 2.3k
  • Physiology 448
Replace Hong Wei Sun with:
Hong Wei Sun United States
Annette M.G. Dirac Netherlands
Yegor S Vassetzky France
Cheng-Ming Chiang United States
Christoph Moroni Switzerland
Eric A. Hendrickson United States
Daeyoup Lee South Korea
Keiko Ozato United States
Tokameh Mahmoudi Netherlands
Naoyuki Kataoka Japan
Matthew D. Gray relative to Hong Wei Sun United States Hong Wei Sun's profile →
Citations per field
00.5×2×3×4.2×
Hong Wei Sun · 1×
Citations per year

Countries citing papers authored by Matthew D. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997510
2 1998380
3 1998240
4 2001184
5 1998182
6 1998129
7 2016126
8 2002121
9 1978120
10 1999119
11 2005113
12 1999107
13 2018104
14 201873
15 199969
16 201167
17 201660
18 199860
19 200257
20 201450

About Matthew D. Gray

Matthew D. Gray is a scholar working on Virology, Immunology, Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 3.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (19 papers), HIV Research and Treatment (12 papers), Genomics and Chromatin Dynamics (10 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Telomeres, Telomerase, and Senescence (6 papers) and Carcinogens and Genotoxicity Assessment (5 papers). The work is most often cited by research in Aging (139 citations), Virology (300 citations), Cancer Research (603 citations), Molecular Biology (2.3k citations) and Physiology (448 citations). Matthew D. Gray has collaborated with scholars based in United States, South Africa and Israel. Frequent co-authors include Junko Oshima, Lawrence A. Loeb, George M. Martin, Ashwini S. Kamath‐Loeb, Jiang-Cheng Shen, Antonia Blank, Bryce L. Sopher, Judith Campisi, Baomin Li and Shahzad I. Mian. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Cell Reports, Journal of Biological Chemistry and eLife.

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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