Kyle Dyson

1.3k citations
19 papers · 796 indexed · h-index 11

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

Kyle Dyson

18 papers receiving 791 citations

Peers

Kyle Dyson
Comparison fields: 5 of 92
  • Oncology 425
  • Immunology 296
  • Genetics 74
  • Biomedical Engineering 220
  • Cancer Research 66
Replace Eric H. Gschweng with:
Eric H. Gschweng United States
Olga Mizrahi Israel
Carter M. Suryadevara United States
Matthew E. Brown United States
Theresa Pacheco United States
Xin Tang China
Hillary G. Caruso United States
Christian Hirt Switzerland
Lisa Woodbine United Kingdom
Kyle Dyson relative to Eric H. Gschweng United States Eric H. Gschweng's profile →
Citations per field
00.5×2.7×
Eric H. Gschweng · 1×
Citations per year

Countries citing papers authored by Kyle Dyson

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Dyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019285
2 201993
3 201792
4 201980
5 201965
6 202031
7 202428
8 201827
9 201822
10 201820
11 202118
12 20209
13 20198
14 20197
15 20244
16 20214
17 20222
18 20181
19 20190

About Kyle Dyson

Kyle Dyson is a scholar working on Health Informatics, Immunology, Oncology, Genetics and Hepatology, having authored 19 papers that have together received 796 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), CAR-T cell therapy research (6 papers), RNA Interference and Gene Delivery (6 papers), Immune Cell Function and Interaction (3 papers), Nanoplatforms for cancer theranostics (2 papers), Health and Medical Research Impacts (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Oncology (425 citations), Immunology (296 citations), Genetics (74 citations), Biomedical Engineering (220 citations) and Cancer Research (66 citations). Kyle Dyson has collaborated with scholars based in United States and China. Frequent co-authors include Duane A. Mitchell, Adam Grippin, Elias Sayour, Andrés M. Rubiano, Chelsey S. Simmons, Daniel Stewart, Jianping Huang, Na Meng, Loic P. Deleyrolle and Yu Long. Their work appears in journals such as Clinical Cancer Research, Genome Medicine, Molecular Therapy, International Journal of Radiation Oncology*Biology*Physics and Nature Communications.

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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