Todd A. Gray

2.7k citations
38 papers · 1.9k · h-index 24

Impact in

  • Genetics top 2%
    • Genetic Syndromes and Imprinting
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies

Papers in

    • RNA and protein synthesis mechanisms 9
    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 6
    • Mycobacterium research and diagnosis 15

Todd A. Gray

37 papers receiving 1.9k citations

Peers

Todd A. Gray
Comparison fields: 5 of 98
  • Genetics 760
  • Molecular Biology 1.4k
  • Molecular Medicine 93
  • Infectious Diseases 338
  • Pediatrics, Perinatology and Child Health 249
Replace Hiroshi Amanuma with:
Hiroshi Amanuma Japan
Michael J. McEachern United States
David M. Roberts United States
Н. А. Лисицын Russia
Sharon Zemel United States
Andreas Lengeling Germany
Aniko Sabo United States
Junfang Zhou China
A. Fawad Faruqi United States
Todd A. Gray relative to Hiroshi Amanuma Japan Hiroshi Amanuma's profile →
Citations per field
00.5×11.4×
Hiroshi Amanuma · 1×
Citations per year

Countries citing papers authored by Todd A. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Todd A. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999195
2 1999184
3 2015169
4 1992149
5 1999147
6 1988103
7 200085
8 201376
9 201666
10 201859
11 199657
12 198848
13 201448
14 201847
15 200647
16 201046
17 199244
18 200043
19 200140
20 199438

About Todd A. Gray

Todd A. Gray is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Ecology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (15 papers), Tuberculosis Research and Epidemiology (14 papers), RNA and protein synthesis mechanisms (9 papers), Genetic Syndromes and Imprinting (8 papers), Bacteriophages and microbial interactions (7 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Genetics (760 citations), Molecular Biology (1.4k citations), Molecular Medicine (93 citations), Infectious Diseases (338 citations) and Pediatrics, Perinatology and Child Health (249 citations). Todd A. Gray has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Robert D. Nicholls, Keith M. Derbyshire, Shinji Saitoh, Deborah L. Gumucio, Daniel J. Driscoll, David Shelton, Francis S. Collins, James M. Gabriel, Christopher C. Glenn and Susan A. Tarlé. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Bacteriology, Molecular and Cellular Biology 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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