Irina Zaretsky

3.4k total citations · 2 hit papers
14 papers, 2.2k citations indexed

About

Irina Zaretsky is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Irina Zaretsky has authored 14 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Irina Zaretsky's work include T-cell and B-cell Immunology (8 papers), Single-cell and spatial transcriptomics (4 papers) and Immunotherapy and Immune Responses (3 papers). Irina Zaretsky is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Single-cell and spatial transcriptomics (4 papers) and Immunotherapy and Immune Responses (3 papers). Irina Zaretsky collaborates with scholars based in Israel, United Kingdom and Ukraine. Irina Zaretsky's co-authors include Ido Amit, Steffen Jung, Alexander Mildner, Hadas Keren‐Shaul, Diego Adhemar Jaitin, Ephraim Kenigsberg, Nadav Cohen, Amos Tanay, Franziska Paul and David Lara‐Astiaso and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Irina Zaretsky

14 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types

2014 1.2k citations Diego Adhemar Jaitin, Ephraim Kenigsberg et al. Science profile →
Chromatin state dynamics during blood formation

2014 556 citations David Lara‐Astiaso, Assaf Weiner et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Irina Zaretsky Israel	10	1.6k	730	331	202	161	14	2.2k
Franziska Paul Israel	10	1.4k 0.9×	801 1.1×	336 1.0×	188 0.9×	155 1.0×	15	2.0k
Johanna Klughammer Austria	13	2.1k 1.4×	767 1.1×	415 1.3×	265 1.3×	241 1.5×	17	2.9k
Scott N. Furlan United States	16	1.1k 0.7×	583 0.8×	223 0.7×	463 2.3×	131 0.8×	44	2.0k
Dave Gennert United States	3	1.5k 1.0×	439 0.6×	375 1.1×	162 0.8×	144 0.9×	3	1.9k
Valentina Proserpio Italy	12	2.3k 1.4×	633 0.9×	546 1.6×	263 1.3×	273 1.7×	20	2.8k
Jellert T. Gaublomme United States	8	1.1k 0.7×	584 0.8×	236 0.7×	159 0.8×	105 0.7×	11	1.7k
Atray Dixit United States	8	2.1k 1.4×	397 0.5×	298 0.9×	260 1.3×	251 1.6×	13	2.6k
Valentine Svensson United Kingdom	14	2.6k 1.7×	594 0.8×	644 1.9×	267 1.3×	401 2.5×	16	3.1k
Laleh Haghverdi Germany	9	2.5k 1.6×	637 0.9×	491 1.5×	250 1.2×	557 3.5×	14	3.1k
Ana Cvejic United Kingdom	20	1.3k 0.8×	640 0.9×	330 1.0×	144 0.7×	110 0.7×	33	2.0k

Countries citing papers authored by Irina Zaretsky

Since Specialization

Citations

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

Fields of papers citing papers by Irina Zaretsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Zaretsky

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Zaretsky. A scholar is included among the top collaborators of Irina Zaretsky 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 Irina Zaretsky. Irina Zaretsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

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

Khersonsky, Olga, Moshe Goldsmith, Irina Zaretsky, et al.. (2023). Stable Mammalian Serum Albumins Designed for Bacterial Expression. Journal of Molecular Biology. 435(17). 168191–168191. 4 indexed citations

Zaretsky, Irina, et al.. (2022). Nutritional Approaches as a Treatment for Impaired Bone Growth and Quality Following the Consumption of Ultra-Processed Food. International Journal of Molecular Sciences. 23(2). 841–841. 6 indexed citations

Biram, Adi, Eitan Winter, Alice E. Denton, et al.. (2020). B Cell Diversification Is Uncoupled from SAP-Mediated Selection Forces in Chronic Germinal Centers within Peyer’s Patches. Cell Reports. 30(6). 1910–1922.e5. 17 indexed citations

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

Zaretsky, Irina, Roei David Mazor, Liat Stoler‐Barak, et al.. (2017). ICAMs support B cell interactions with T follicular helper cells and promote clonal selection. The Journal of Experimental Medicine. 214(11). 3435–3448. 72 indexed citations

Zaretsky, Irina, et al.. (2017). Diverse continuum of CD4⁺T-cell states is determined by hierarchical additive integration of cytokine signals. Proceedings of the National Academy of Sciences. 114(31). E6447–E6456. 47 indexed citations

Zaretsky, Irina, et al.. (2017). Substrate-bound CCL21 and ICAM1 combined with soluble IL-6 collectively augment the expansion of antigen-specific murine CD4+ T cells. Blood Advances. 1(15). 1016–1030. 8 indexed citations

Lara‐Astiaso, David, Assaf Weiner, Erika Lorenzo-Vivas, et al.. (2014). Chromatin state dynamics during blood formation. Science. 345(6199). 943–949. 556 indexed citations breakdown →

10.

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

11.

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

12.

Jaitin, Diego Adhemar, Ephraim Kenigsberg, Hadas Keren‐Shaul, et al.. (2014). Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types. Science. 343(6172). 776–779. 1236 indexed citations breakdown →

13.

Polonsky, Michael Jay, Irina Zaretsky, & Nir Friedman. (2013). Dynamic single-cell measurements of gene expression in primary lymphocytes: challenges, tools and prospects. Briefings in Functional Genomics. 12(2). 99–108. 10 indexed citations

14.

Zaretsky, Irina, Michal Polonsky, Eric Shifrut, et al.. (2012). Monitoring the dynamics of primary T cell activation and differentiation using long term live cell imaging in microwell arrays. Lab on a Chip. 12(23). 5007–5007. 66 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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