Yuri Pritykin

5.7k total citations · 1 hit paper
31 papers, 1.8k citations indexed

About

Yuri Pritykin is a scholar working on Immunology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Yuri Pritykin has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 12 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Yuri Pritykin's work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (10 papers). Yuri Pritykin is often cited by papers focused on Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (10 papers). Yuri Pritykin collaborates with scholars based in United States, Russia and Austria. Yuri Pritykin's co-authors include Christina S. Leslie, Alexander Y. Rudensky, Colleen M. Lau, Nicholas M. Adams, Joseph C. Sun, Orr-El Weizman, Sagar Chhangawala, Dana Pe’er, Linas Mažutis and Chirag Krishna and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yuri Pritykin

30 papers receiving 1.8k 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.

Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity

2019 374 citations Yuri Pritykin, Linas Mažutis et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuri Pritykin United States	17	1.3k	535	348	283	106	31	1.8k
Hashem Koohy United Kingdom	16	598 0.5×	765 1.4×	310 0.9×	164 0.6×	83 0.8×	30	1.5k
Jinghua Lu United States	19	993 0.8×	601 1.1×	259 0.7×	81 0.3×	142 1.3×	32	1.6k
Mark E. DeVries Canada	15	557 0.4×	501 0.9×	379 1.1×	97 0.3×	67 0.6×	19	1.1k
Jürgen Hammer United States	16	735 0.6×	768 1.4×	324 0.9×	72 0.3×	137 1.3×	18	1.4k
Maurizio Provenzano Switzerland	23	596 0.5×	561 1.0×	518 1.5×	151 0.5×	124 1.2×	61	1.5k
Andy Tsun China	18	943 0.7×	420 0.8×	350 1.0×	60 0.2×	108 1.0×	28	1.5k
Sonia Jiménez-Baranda Spain	15	882 0.7×	839 1.6×	498 1.4×	114 0.4×	158 1.5×	18	2.0k
Benjamin G. Gowen United States	8	1.2k 1.0×	670 1.3×	618 1.8×	46 0.2×	121 1.1×	10	1.8k
Hilary Clark United States	12	1.4k 1.1×	692 1.3×	816 2.3×	117 0.4×	150 1.4×	15	2.4k

Countries citing papers authored by Yuri Pritykin

Since Specialization

Citations

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

Fields of papers citing papers by Yuri Pritykin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Pritykin

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

All Works

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20 of 20 papers shown

Pritykin, Yuri, et al.. (2025). Cathelicidin antimicrobial peptides mediate immune protection in marsupial neonates. Science Advances. 11(16). eads6359–eads6359. 2 indexed citations

Hu, Wei, Eric Y. Wang, Giorgi Beroshvili, et al.. (2025). Temporal and context-dependent requirements for the transcription factor Foxp3 expression in regulatory T cells. Nature Immunology. 26(11). 2059–2073. 1 indexed citations

Cofer, Evan M., Xinyang Bing, Chandra L. Theesfeld, et al.. (2025). 3D chromatin structures precede genome activation in Drosophila embryogenesis. Cell Genomics. 5(11). 101002–101002.

Dikiy, Stanislav, Andrew G. Levine, Stephen Martis, et al.. (2025). Terminal differentiation and persistence of effector regulatory T cells essential for preventing intestinal inflammation. Nature Immunology. 26(3). 444–458. 6 indexed citations

Schmidt, Henri, Minsi Zhang, Francisco J. Sánchez‐Rivera, et al.. (2025). Genome-wide CRISPR guide RNA design and specificity analysis with GuideScan2. Genome biology. 26(1). 41–41. 1 indexed citations

Nakandakari-Higa, Sandra, Sarah K. Walker, Maria Cecília Campos Canesso, et al.. (2024). Universal recording of immune cell interactions in vivo. Nature. 627(8003). 399–406. 47 indexed citations

Rahman, A., et al.. (2024). Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis. Nature Genetics. 56(4). 627–636. 16 indexed citations

Pritykin, Yuri, et al.. (2023). Genomic Analysis of Foxp3 Function in Regulatory T Cells. The Journal of Immunology. 210(7). 880–887. 6 indexed citations

Veeken, Joris van der, Clarissa Campbell, Yuri Pritykin, et al.. (2022). Genetic tracing reveals transcription factor Foxp3-dependent and Foxp3-independent functionality of peripherally induced Treg cells. Immunity. 55(7). 1173–1184.e7. 52 indexed citations

10.

Zhang, Minggang, Zeguo Zhao, Yuri Pritykin, et al.. (2021). Ectopic activation of the miR-200c–EpCAM axis enhances antitumor T cell responses in models of adoptive cell therapy. Science Translational Medicine. 13(611). eabg4328–eabg4328. 9 indexed citations

11.

田中, 義夫, Sarah K. Walker, Yuri Pritykin, et al.. (2021). Hierarchical regulation of the resting and activated T cell epigenome by major transcription factor families. Nature Immunology. 23(1). 122–134. 28 indexed citations

12.

Pritykin, Yuri, Joris van der Veeken, Allison R. Pine, et al.. (2021). A unified atlas of CD8 T cell dysfunctional states in cancer and infection. Molecular Cell. 81(11). 2477–2493.e10. 73 indexed citations

13.

Campbell, Clarissa, François Marchildon, Anthony Michaels, et al.. (2020). FXR mediates T cell-intrinsic responses to reduced feeding during infection. Proceedings of the National Academy of Sciences. 117(52). 33446–33454. 29 indexed citations

14.

Li, Xiaoyi, Yuri Pritykin, Carla P. Concepcion, et al.. (2020). High-Resolution In Vivo Identification of miRNA Targets by Halo-Enhanced Ago2 Pull-Down. Molecular Cell. 79(1). 167–179.e11. 29 indexed citations

15.

Pritykin, Yuri, et al.. (2019). Transcription factor Foxp1 regulates Foxp3 chromatin binding and coordinates regulatory T cell function. Nature Immunology. 20(2). 232–242. 73 indexed citations

16.

Lau, Colleen M., Nicholas M. Adams, Clair D. Geary, et al.. (2018). Epigenetic control of innate and adaptive immune memory. Nature Immunology. 19(9). 963–972. 203 indexed citations

17.

Weizman, Orr-El, Nicholas M. Adams, Iona S. Schuster, et al.. (2017). ILC1 Confer Early Host Protection at Initial Sites of Viral Infection. Cell. 171(4). 795–808.e12. 339 indexed citations

18.

Dadi, Saïda, Sagar Chhangawala, Benjamin M. Whitlock, et al.. (2016). Cancer Immunosurveillance by Tissue-Resident Innate Lymphoid Cells and Innate-like T Cells. Cell. 164(3). 365–377. 255 indexed citations

19.

Pritykin, Yuri & Mona Singh. (2013). Simple Topological Features Reflect Dynamics and Modularity in Protein Interaction Networks. PLoS Computational Biology. 9(10). e1003243–e1003243. 21 indexed citations

20.

Pritykin, Yuri, et al.. (2009). Sequences close to periodic. Russian Mathematical Surveys. 64(5). 805–871. 16 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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