Nir Friedman

3.9k citations
47 papers · 2.2k indexed · h-index 25

Impact in

Papers in

    • T-cell and B-cell Immunology 24
    • Immune Cell Function and Interaction 20
    • Immunotherapy and Immune Responses 15
    • Single-cell and spatial transcriptomics 5
    • vaccines and immunoinformatics approaches 3

Nir Friedman

45 papers receiving 2.2k citations

Peers

Nir Friedman
Comparison fields: 5 of 122
  • Immunology 1.2k
  • Biological Psychiatry 86
  • Neurology 232
  • Oncology 364
  • Molecular Biology 811
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Ying Tang China
Hironobu Kimura Japan
Beena John United States
Wouter Saelens Belgium
Dan Holmberg Sweden
Brian Long United States
Michelle D. Tadmor United States
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Regina Feederle Germany
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Citations per field
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Citations per year

Countries citing papers authored by Nir Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Nir Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017301
2 2013234
3 2019190
4 2001139
5 2014120
6 2017103
7 201377
8 201276
9 201472
10 201470
11 201266
12 201662
13 201858
14 201258
15 201653
16 201747
17 201444
18 201943
19 201542
20 200238

About Nir Friedman

Nir Friedman is a scholar working on Immunology, Molecular Biology, Oncology, Atomic and Molecular Physics, and Optics and Epidemiology, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (24 papers), Immune Cell Function and Interaction (20 papers), Immunotherapy and Immune Responses (15 papers), CAR-T cell therapy research (11 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Immunology (1.2k citations), Biological Psychiatry (86 citations), Neurology (232 citations), Oncology (364 citations) and Molecular Biology (811 citations). Nir Friedman has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Eric Shifrut, Shlomit Reich-Zeliger, Jaime Prilusky, Nili Tickotsky, Nir Davidson, Ariel Kaplan, Benny Chain, Hilah Gal, Wilfred Ndifon and Katharine Best. Their work appears in journals such as Frontiers in Immunology, Proceedings of the National Academy of Sciences, Bioinformatics, Immunity and eLife.

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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