Dawn Gray

702 citations
10 papers · 591 · h-index 7

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Lymphoma Diagnosis and Treatment
    • Multiple Sclerosis Research Studies

Papers in

    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • Cancer-related Molecular Pathways 2
    • CAR-T cell therapy research 2

Dawn Gray

9 papers receiving 582 citations

Peers

Dawn Gray
Comparison fields: 5 of 60
  • Immunology 378
  • Pathology and Forensic Medicine 151
  • Oncology 151
  • Neurology 30
  • Genetics 26
Replace Wen-Hwai Horng with:
Wen-Hwai Horng United States
Nicole A. Belmar United States
Simona Vertuani Sweden
Hendrik W. van Deventer United States
Yusuke Matsunaga Japan
Emanuel Calenoff United States
Dilip K. Challa United States
Mehrdad Mohseni United States
Sonya James United Kingdom
Andrés López‐Albaitero United States
Dawn Gray relative to Wen-Hwai Horng United States Wen-Hwai Horng's profile →
Citations per field
00.5×1.5×2.2×
Wen-Hwai Horng · 1×
Citations per year

Countries citing papers authored by Dawn Gray

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1992303
2 1993128
3 199361
4 199241
5 199126
6 199813
7 200612
8 19954
9 20083
10 20120

About Dawn Gray

Dawn Gray is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Surgery, having authored 10 papers that have together received 591 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related Molecular Pathways (2 papers), CAR-T cell therapy research (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper), Ubiquitin and proteasome pathways (1 paper), Dermatological diseases and infestations (1 paper) and Religion, Spirituality, and Psychology (1 paper). The work is most often cited by research in Immunology (378 citations), Pathology and Forensic Medicine (151 citations), Oncology (151 citations), Neurology (30 citations) and Genetics (26 citations). Dawn Gray has collaborated with scholars based in Canada, Switzerland and India. Frequent co-authors include Wai‐Ping Fung‐Leung, T W Mak, Hans Acha‐Orbea, Alexandra Ho, Dennis Y. Loh, Adam Bagg, R. D. Gascoyne, Valerie A. Wallace, Rita M. Braziel and H Griesser. Their work appears in journals such as European Journal of Immunology, BMJ Supportive & Palliative Care, Breast Cancer Research and Treatment, Journal of Wildlife Diseases and Journal of Palliative Medicine.

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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