Jay Friedman

3.5k citations
56 papers · 2.7k · h-index 27

Impact in

  • Immunology top 2%
    • 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
    • Cancer-related Molecular Pathways

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • Cancer-related Molecular Pathways 5
    • CAR-T cell therapy research 4
    • Immune cells in cancer 8
    • Immunotherapy and Immune Responses 6
    • interferon and immune responses 3
    • Immune Cell Function and Interaction 3

Jay Friedman

54 papers receiving 2.7k citations

Peers

Jay Friedman
Comparison fields: 5 of 114
  • Immunology 998
  • Oncology 1.1k
  • Otorhinolaryngology 107
  • Cancer Research 317
  • Molecular Biology 749
Replace Fabrice Journé with:
Fabrice Journé Belgium
Kwan‐Hwa Chi Taiwan
Mélanie Bruchard France
Caio A. Leite Brazil
Shih Sheng Jiang Taiwan
Eric Kenneth Parkinson United Kingdom
Yanhong Ni China
Ko‐Jiunn Liu Taiwan
Wan Du China
Laura S. Angelo United States
Jay Friedman relative to Fabrice Journé Belgium Fabrice Journé's profile →
Citations per field
00.5×1.5×1.8×
Fabrice Journé · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019235
2 2010210
3 2019199
4 2017189
5 2010152
6 2006136
7 2019124
8 2017115
9 2011104
10 200897
11 200983
12 201678
13 201776
14 200769
15 200765
16 201965
17 200750
18 200949
19 200749
20 201848

About Jay Friedman

Jay Friedman is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Epidemiology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immune cells in cancer (8 papers), NF-κB Signaling Pathways (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer-related Molecular Pathways (5 papers), CAR-T cell therapy research (4 papers), interferon and immune responses (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (998 citations), Oncology (1.1k citations), Otorhinolaryngology (107 citations), Cancer Research (317 citations) and Molecular Biology (749 citations). Jay Friedman has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Carter Van Waes, Clint Allen, Paúl E. Clavijo, Zhong Chen, Ellen Moore, Yvette Robbins, Jeffrey Schlom, Husam Ghanim, Paresh Dandona and Priya Mohanty. Their work appears in journals such as Clinical Cancer Research, Oral Oncology, Cancer Research, OncoImmunology and Journal for ImmunoTherapy of Cancer.

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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