Matthew Beatty

801 citations
27 papers · 343 · h-index 9

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 4
    • Immune cells in cancer 3
    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 6

Matthew Beatty

25 papers receiving 339 citations

Peers

Matthew Beatty
Comparison fields: 5 of 58
  • Immunology 156
  • Oncology 149
  • Cancer Research 44
  • Biotechnology 14
  • Pulmonary and Respiratory Medicine 36
Replace Jimin Son with:
Jimin Son South Korea
Simona Partlová Czechia
Antonina Avanzi United States
Zhengtao Hong China
Teppei Yamada Japan
Habib Sadeghi Rad Australia
Kelli A. Connolly United States
Dylan T. Ammons United States
Nicolle H. Rekers Netherlands
Ines Malenica Italy
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Beatty

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Beatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 202137
3 201836
4 202032
5 202126
6 201915
7 202312
8 20218
9 20208
10 20228
11 19966
12 20246
13 20204
14 20254
15 20213
16 20232
17 20231
18 20251
19 20151
20 20241

About Matthew Beatty

Matthew Beatty is a scholar working on Immunology, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 27 papers that have together received 343 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Research and Treatments (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Immunology (156 citations), Oncology (149 citations), Cancer Research (44 citations), Biotechnology (14 citations) and Pulmonary and Respiratory Medicine (36 citations). Matthew Beatty has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Shari Pilon‐Thomas, Amod A. Sarnaik, Krithika N. Kodumudi, MacLean Hall, Dominique Abrahams, Arig Ibrahim‐Hashim, Dario Livio Longo, Pawel Swietach, Asmaa El-Kenawi and Shonagh Russell. Their work appears in journals such as Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, Frontiers in Immunology, Nature Communications and International Immunopharmacology.

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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