David Noyes

1.9k citations
40 papers · 1.1k · h-index 16

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 17
    • CAR-T cell therapy research 9
    • Peptidase Inhibition and Analysis 3
    • Chemokine receptors and signaling 2
    • Immunotherapy and Immune Responses 16
    • T-cell and B-cell Immunology 3

David Noyes

37 papers receiving 1.1k citations

Peers

David Noyes
Comparison fields: 5 of 96
  • Biological Psychiatry 69
  • Physiology 116
  • Immunology 518
  • Oncology 608
  • Molecular Biology 382
Replace Yanan Sun with:
Yanan Sun China
Cláudia Silva Portugal
Elizabeth T. Bartom United States
Maria Sofia Fernandes Portugal
Ying Tong China
Pinar Uysal‐Onganer United Kingdom
Véronique Machelon France
Linjie Tian China
Elizabeth Horvath United States
Jolyon Terragni United States
David Noyes relative to Yanan Sun China Yanan Sun's profile →
Citations per field
00.5×5.8×
Yanan Sun · 1×
Citations per year

Countries citing papers authored by David Noyes

Since Specialization
Citations

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

Fields of papers citing papers by David Noyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016264
2 2016116
3 2011101
4 201699
5 201381
6 201772
7 202254
8 200852
9 200449
10 200635
11 201829
12 201328
13 200324
14 202119
15 200617
16 200516
17 200513
18 201212
19 20186
20 20186

About David Noyes

David Noyes is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Biotechnology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), Immunotherapy and Immune Responses (16 papers), CAR-T cell therapy research (9 papers), Cancer Research and Treatments (6 papers), Lung Cancer Treatments and Mutations (4 papers), T-cell and B-cell Immunology (3 papers), Peptidase Inhibition and Analysis (3 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Biological Psychiatry (69 citations), Physiology (116 citations), Immunology (518 citations), Oncology (608 citations) and Molecular Biology (382 citations). David Noyes has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Scott Antonia, Melanie Mediavilla-Varela, Kingsley A. Boateng, Hatem Soliman, Carl A. Luer, Eric B. Haura, Alberto Chiappori, Anthony Neuger, Cathy J. Walsh and Gary V. Martinez. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Thoracic Oncology, Journal of Immunotherapy and International Journal of Radiation Oncology*Biology*Physics.

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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