Jay Friedman

3.6k citations
53 papers · 3.0k · h-index 30

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 10
    • CAR-T cell therapy research 4
    • Cancer-related Molecular Pathways 3
    • Immune cells in cancer 8
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 3

Jay Friedman

53 papers receiving 3.0k citations

Peers

Jay Friedman
Comparison fields: 5 of 115
  • Immunology 1.1k
  • Oncology 1.2k
  • Otorhinolaryngology 137
  • Cancer Research 341
  • Molecular Biology 846
Replace Gangwen Han with:
Gangwen Han United States
Masashi Shiiba Japan
Tsuyoshi Noguchi Japan
Xing Zhang China
Hiromitsu Kishimoto Japan
Yanhong Ni China
Koji Kishimoto Japan
Eric Kenneth Parkinson United Kingdom
Caio A. Leite Brazil
Min Yao China
Jay Friedman relative to Gangwen Han United States Gangwen Han's profile →
Citations per field
00.5×1.5×2.2×
Gangwen Han · 1×
Citations per year

Countries citing papers authored by Jay Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Jay Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019245
2 2010212
3 2019211
4 2017195
5 2010156
6 2006138
7 2019133
8 2017124
9 2011115
10 200897
11 200985
12 201683
13 201681
14 201778
15 201977
16 200768
17 200765
18 202256
19 200750
20 201850

About Jay Friedman

Jay Friedman is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Otorhinolaryngology, having authored 53 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Immune cells in cancer (8 papers), NF-κB Signaling Pathways (7 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers), Cancer-related Molecular Pathways (3 papers), Immune Cell Function and Interaction (3 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.2k citations), Otorhinolaryngology (137 citations), Cancer Research (341 citations) and Molecular Biology (846 citations). Jay Friedman has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Carter Van Waes, Clint Tanner Allen, Paúl E. Clavijo, Zhong Chen, Ellen C. Moore, Yvette L. Robbins, Jeffrey Schlom, Husam Ghanim, Priya Mohanty and Paresh Dandona. Their work appears in journals such as Clinical Cancer Research, OncoImmunology, Oral Oncology, Journal for ImmunoTherapy of Cancer and Molecular Cancer Therapeutics.

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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