Irina Zaretsky
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Biophysics top 2%
Papers in
-
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- Phagocytosis and Immune Regulation 1
- Immune Response and Inflammation 1
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- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 2
- Protein purification and stability 1
- Co-authors
- Diego Adhemar Jaitin (2 shared papers)Hadas Keren‐Shaul (2 shared papers)Alexander Mildner (2 shared papers)Steffen Jung (2 shared papers)Ido Amit (2 shared papers)Ephraim Kenigsberg (1 shared paper)Amos Tanay (1 shared paper)Franziska Paul (1 shared paper)
- Journals
- Science (3 papers)Lab on a Chip (1 paper)Blood Advances (1 paper)Briefings in Functional Genomics (1 paper)Cell Reports (1 paper)
- Partner nations
- IsraelUnited KingdomSwitzerland
In The Last Decade
Irina Zaretsky
14 papers receiving 2.2k citations
Irina Zaretsky's Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 713
- Biophysics 154
- Molecular Biology 1.6k
- Cancer Research 308
- Neurology 106
Countries citing papers authored by Irina Zaretsky
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
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-authors
The 25 scholars most cited alongside Irina Zaretsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types Hit paper breakdown → | 2014 | 1260 |
| 2 | Chromatin state dynamics during blood formation Hit paper breakdown → | 2014 | 560 |
| 3 | 2017 | 73 | |
| 4 | 2014 | 73 | |
| 5 | 2012 | 66 | |
| 6 | 2018 | 61 | |
| 7 | 2017 | 47 | |
| 8 | 2014 | 26 | |
| 9 | 2020 | 18 | |
| 10 | 2013 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2025 | 1 |
About Irina Zaretsky
Irina Zaretsky is a scholar working on Immunology, Molecular Biology, Physiology, Genetics and Cancer Research, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Single-cell and spatial transcriptomics (4 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Gene Regulatory Network Analysis (2 papers), Phagocytosis and Immune Regulation (1 paper), Immune Response and Inflammation (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Immunology (713 citations), Biophysics (154 citations), Molecular Biology (1.6k citations), Cancer Research (308 citations) and Neurology (106 citations). Irina Zaretsky has collaborated with scholars based in Israel, United Kingdom and Switzerland. Frequent co-authors include Diego Adhemar Jaitin, Hadas Keren‐Shaul, Alexander Mildner, Steffen Jung, Ido Amit, Ephraim Kenigsberg, Amos Tanay, Franziska Paul, Nadav Cohen and Naama Elefant. Their work appears in journals such as Science, Lab on a Chip, Blood Advances, Briefings in Functional Genomics and Cell Reports.
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.