Ashley Gray

1.0k citations
31 papers · 707 · h-index 12

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism

Papers in

Ashley Gray

28 papers receiving 689 citations

Peers

Ashley Gray
Comparison fields: 5 of 82
  • Health 166
  • Cancer Research 112
  • Microbiology 6
  • Modeling and Simulation 25
  • Infectious Diseases 96
Replace Jennifer E. Gerber with:
Jennifer E. Gerber United States
Daifullah Al Aboud Saudi Arabia
Asfandyar Sheikh Pakistan
Jorge Hernández‐Bello Mexico
Stephen G. Fung Canada
Dana M. Savulescu Israel
Kandace L. Amend United States
Wilson Mawutor Alobuia United States
Wenmei Wang China
Ashley Gray relative to Jennifer E. Gerber United States Jennifer E. Gerber's profile →
Citations per field
00.5×2×3×3.7×
Jennifer E. Gerber · 1×
Citations per year

Countries citing papers authored by Ashley Gray

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021165
2 2013119
3 201165
4 201751
5 201849
6 201743
7 202034
8 202128
9 201328
10 202018
11 202116
12 201114
13 201212
14 20229
15 20247
16 20226
17 20236
18 20186
19 20235
20 20225

About Ashley Gray

Ashley Gray is a scholar working on Cancer Research, Hematology, Dermatology, Infectious Diseases and Periodontics, having authored 31 papers that have together received 707 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), MicroRNA in disease regulation (3 papers), COVID-19 Clinical Research Studies (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Health (166 citations), Cancer Research (112 citations), Microbiology (6 citations), Modeling and Simulation (25 citations) and Infectious Diseases (96 citations). Ashley Gray has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Nicole H. Tobin, Grace M. Aldrovandi, Anne W. Rimoin, Rachel Martin‐Blais, Megan Halbrook, Adva Gadoth, Kathie G. Ferbas, Elinora T. Price, Zhenqiang James Lu and Daniel W. Sheehan. Their work appears in journals such as Transplantation and Cellular Therapy, Archives of Dermatological Research, Journal of Endocrinology, Molecular Cancer Research and International Journal of Medical Microbiology.

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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