Nir Friedman

3.9k total citations
47 papers, 2.2k citations indexed

About

Nir Friedman is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nir Friedman has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 12 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Nir Friedman's work include T-cell and B-cell Immunology (24 papers), Immune Cell Function and Interaction (20 papers) and Immunotherapy and Immune Responses (15 papers). Nir Friedman is often cited by papers focused on T-cell and B-cell Immunology (24 papers), Immune Cell Function and Interaction (20 papers) and Immunotherapy and Immune Responses (15 papers). Nir Friedman collaborates with scholars based in Israel, United Kingdom and United States. Nir Friedman's co-authors include Eric Shifrut, Shlomit Reich-Zeliger, Nili Tickotsky, Jaime Prilusky, Nir Davidson, Benny Chain, Ariel Kaplan, Hilah Gal, Wilfred Ndifon and Katharine Best and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nir Friedman

45 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nir Friedman Israel 25 1.2k 811 364 232 180 47 2.2k
Brian Long United States 23 1.0k 0.9× 528 0.7× 305 0.8× 99 0.4× 59 0.3× 46 2.0k
Ying Tang China 16 941 0.8× 2.1k 2.6× 472 1.3× 160 0.7× 28 0.2× 54 3.5k
Sindy H. Wei United States 15 1.8k 1.5× 965 1.2× 355 1.0× 152 0.7× 161 0.9× 19 3.1k
Daniel Zicha United Kingdom 32 518 0.4× 2.1k 2.6× 465 1.3× 72 0.3× 64 0.4× 60 4.0k
Hironobu Kimura Japan 31 679 0.6× 2.0k 2.4× 701 1.9× 623 2.7× 128 0.7× 139 4.6k
Spencer A. Freeman Canada 32 1.0k 0.8× 1.6k 2.0× 230 0.6× 79 0.3× 169 0.9× 69 3.4k
Caroline C. Friedel Germany 33 500 0.4× 2.5k 3.1× 364 1.0× 119 0.5× 41 0.2× 82 3.9k
László Bene Hungary 23 659 0.5× 700 0.9× 168 0.5× 25 0.1× 142 0.8× 73 1.7k
Martin Meier‐Schellersheim United States 25 1.8k 1.4× 1.2k 1.4× 439 1.2× 65 0.3× 112 0.6× 57 3.5k
John F. Beausang United States 19 492 0.4× 1000 1.2× 298 0.8× 19 0.1× 290 1.6× 48 1.8k

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-authorship network of co-authors of Nir Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Friedman. A scholar is included among the top collaborators of Nir Friedman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nir Friedman. Nir Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rosen, Hadar, et al.. (2025). Urine cf-nucleosomes: A non-invasive window into human physiology and disease. Cell Genomics. 5(10). 100974–100974.
2.
Reich-Zeliger, Shlomit, et al.. (2025). Independent and temporally separated dynamics for RORγt and Foxp3 during Th17 differentiation. Frontiers in Immunology. 16. 1462045–1462045. 1 indexed citations
3.
Dassa, Bareket, et al.. (2024). Molecular mechanisms underlying the modulation of T-cell proliferation and cytotoxicity by immobilized CCL21 and ICAM1. Journal for ImmunoTherapy of Cancer. 12(6). e009011–e009011. 4 indexed citations
4.
Yunger, Sharon, et al.. (2023). Modulating the proliferative and cytotoxic properties of patient-derived TIL by a synthetic immune niche of immobilized CCL21 and ICAM1. Frontiers in Oncology. 13. 1116328–1116328. 3 indexed citations
5.
Greenstein, Erez, Shlomit Reich-Zeliger, Benny Chain, et al.. (2023). Quantifying changes in the T cell receptor repertoire during thymic development. eLife. 12. 13 indexed citations
6.
Reich-Zeliger, Shlomit, Erez Greenstein, Adi Biram, et al.. (2023). Viral infection reveals hidden sharing of TCR CDR3 sequences between individuals. Frontiers in Immunology. 14. 1199064–1199064. 1 indexed citations
7.
Rak, Roni, Michal Polonsky, Yuriko Sakaguchi, et al.. (2021). Dynamic changes in tRNA modifications and abundance during T cell activation. Proceedings of the National Academy of Sciences. 118(42). 36 indexed citations
8.
Kohanim, Yael Korem, Avichai Tendler, Avi Mayo, Nir Friedman, & Uri Alon. (2020). Endocrine Autoimmune Disease as a Fragility of Immune Surveillance against Hypersecreting Mutants. Immunity. 52(5). 872–884.e5. 20 indexed citations
9.
Polonsky, Michal, Irina Zaretsky, Chamutal Bornstein, et al.. (2018). Induction of CD4 T cell memory by local cellular collectivity. Science. 360(6394). 58 indexed citations
10.
Friedman, Nir, et al.. (2018). Expansion and Antitumor Cytotoxicity of T-Cells Are Augmented by Substrate-Bound CCL21 and Intercellular Adhesion Molecule 1. Frontiers in Immunology. 9. 1303–1303. 13 indexed citations
11.
Heather, James, Katharine Best, Theres Oakes, et al.. (2016). Dynamic Perturbations of the T-Cell Receptor Repertoire in Chronic HIV Infection and following Antiretroviral Therapy. Frontiers in Immunology. 6. 644–644. 62 indexed citations
12.
Thomas, Niclas, Katharine Best, Shlomit Reich-Zeliger, et al.. (2014). Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence. Bioinformatics. 30(22). 3181–3188. 70 indexed citations
13.
Cohen, Irun R., et al.. (2014). Do all creatures possess an acquired immune system of some sort?. BioEssays. 36(3). 273–281. 44 indexed citations
14.
Hart, Yuval, Shlomit Reich-Zeliger, Yaron E. Antebi, et al.. (2014). Paradoxical Signaling by a Secreted Molecule Leads to Homeostasis of Cell Levels. Cell. 158(5). 1022–1032. 72 indexed citations
15.
Zaretsky, Irina, Ilia Platzman, Janosch Deeg, et al.. (2014). Engineering of synthetic cellular microenvironments: Implications for immunity. Journal of Autoimmunity. 54. 100–111. 26 indexed citations
16.
Madi, Asaf, Eric Shifrut, Shlomit Reich-Zeliger, et al.. (2014). T-cell receptor repertoires share a restricted set of public and abundant CDR3 sequences that are associated with self-related immunity. Genome Research. 24(10). 1603–1612. 120 indexed citations
17.
Shifrut, Eric, Kuti Baruch, Hilah Gal, et al.. (2013). CD4+ T Cell-Receptor Repertoire Diversity is Compromised in the Spleen but Not in the Bone Marrow of Aged Mice Due to Private and Sporadic Clonal Expansions. Frontiers in Immunology. 4. 379–379. 27 indexed citations
18.
Yissachar, Nissan, Ariel Cohen, Shlomit Reich-Zeliger, et al.. (2012). Dynamic Response Diversity of NFAT Isoforms in Individual Living Cells. Molecular Cell. 49(2). 322–330. 76 indexed citations
19.
Savir, Yonatan, et al.. (2012). Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback. BMC Systems Biology. 6(1). 111–111. 12 indexed citations
20.
Bernstein, Zale P., Martin H. Goldrosen, Louis Vaickus, et al.. (1991). Interleukin-2 with Ex Vivo Activated Killer Cells: Therapy of Advanced Non-Small-Cell Lung Cancer. Journal of Immunotherapy. 10(5). 383–387. 14 indexed citations

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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