Gregory C. Gray

17.5k citations
337 papers · 11.5k indexed · h-index 58

Gregory C. Gray

327 papers receiving 11.0k citations

Peers

Gregory C. Gray
Comparison fields: 5 of 186
  • Infectious Diseases 4.7k
  • Agronomy and Crop Science 2.4k
  • Epidemiology 4.9k
  • Parasitology 640
  • Occupational Therapy 348
Replace Akiko Iwasaki with:
Akiko Iwasaki United States
Dirk U. Pfeiffer United Kingdom
Keiji Fukuda Japan
Brecht Devleesschauwer Belgium
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Larry J. Anderson United States
David I. Bernstein United States
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Citations per field
00.5×9.9×
Akiko Iwasaki · 1×
Citations per year

Countries citing papers authored by Gregory C. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Gregory C. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 20242
5 20243
6 20243
7 20231
8 2021158
9 20212
10 20204
11 20198
12 20192
13 201819
14 201476
15
[Emerging adenovirus threats: should China develop a vaccine-oriented prevention strategy?].
20141
16
Emerging viral respiratory tract infections—environmental risk factors and transmission
20140
17
Data mining for teleseismic tomography in the central Andes
20111
18 200929
19 200415
20 199955

About Gregory C. Gray

Gregory C. Gray is a scholar working on Agronomy and Crop Science, Infectious Diseases, Epidemiology, Modeling and Simulation and Parasitology, having authored 337 papers that have together received 11.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (101 papers), Animal Disease Management and Epidemiology (97 papers), Viral gastroenteritis research and epidemiology (91 papers), Respiratory viral infections research (87 papers), Viral Infections and Vectors (53 papers), Virus-based gene therapy research (31 papers), Zoonotic diseases and public health (28 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (19 papers). The work is most often cited by research in Infectious Diseases (4.7k citations), Agronomy and Crop Science (2.4k citations), Epidemiology (4.9k citations), Parasitology (640 citations) and Occupational Therapy (348 citations). Gregory C. Gray has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Christopher W. Olsen, Ana W. Capuano, Kevin P. Myers, Anthony W. Hawksworth, Sharon F. Setterquist, Tyler C. Smith, Benjamin D. Anderson, Margaret A.K. Ryan, Margaret A. K. Ryan and Gary L. Heil. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases, Influenza and Other Respiratory Viruses, PLoS ONE and Journal of Clinical Virology.

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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