Jaroslav Žák

1.1k total citations · 1 hit paper
17 papers, 446 citations indexed

About

Jaroslav Žák is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jaroslav Žák has authored 17 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Jaroslav Žák's work include Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and T-cell and B-cell Immunology (3 papers). Jaroslav Žák is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and T-cell and B-cell Immunology (3 papers). Jaroslav Žák collaborates with scholars based in United States, United Kingdom and Netherlands. Jaroslav Žák's co-authors include John R. Teijaro, Michael B. A. Oldstone, Brett S. Marro, Luke L. Lairson, Reza Beheshti Zavareh, Zhe Huang, Xin Lü, Karel Hejduk, Jaromír Zatloukal and Vladimír Koblížek and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jaroslav Žák

14 papers receiving 440 citations

Hit Papers

JAK inhibition enhances checkpoint blockade immunotherapy... 2024 2026 2025 2024 25 50 75
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.

  1. JAK inhibition enhances checkpoint blockade immunotherapy in patients with Hodgkin lymphoma
    2024 77 citations Jaroslav Žák, Brett S. Marro et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaroslav Žák United States 10 174 129 123 112 83 17 446
Nicholas A. Zorko United States 11 176 1.0× 165 1.3× 104 0.8× 95 0.8× 32 0.4× 31 470
Jake A. Kloeber United States 13 124 0.7× 110 0.9× 273 2.2× 86 0.8× 125 1.5× 22 514
Shengcai Wei China 13 151 0.9× 55 0.4× 147 1.2× 34 0.3× 45 0.5× 20 394
James C.M. Wang Canada 4 262 1.5× 221 1.7× 99 0.8× 34 0.3× 48 0.6× 6 458
Anne M. King United States 11 260 1.5× 107 0.8× 130 1.1× 54 0.5× 41 0.5× 14 480
Craig D. Milne Canada 10 238 1.4× 78 0.6× 168 1.4× 40 0.4× 74 0.9× 12 503
Aïda Meghraoui France 12 368 2.1× 165 1.3× 141 1.1× 68 0.6× 17 0.2× 16 549
Ireneusz Dziuba Poland 9 66 0.4× 70 0.5× 80 0.7× 60 0.5× 27 0.3× 17 260
Zuyu Liang China 7 119 0.7× 81 0.6× 121 1.0× 75 0.7× 21 0.3× 12 281
Bhumi Patel United States 7 80 0.5× 78 0.6× 150 1.2× 32 0.3× 126 1.5× 9 378

Countries citing papers authored by Jaroslav Žák

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Žák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Žák

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

All Works

17 of 17 papers shown
1.
Žák, Jaroslav & Judith A. Varner. (2025). Positive and negative roles of myeloid cells in cancer immunotherapy. Journal for ImmunoTherapy of Cancer. 13(10). e012743–e012743.
2.
Žák, Jaroslav, Brett S. Marro, Kristi Marquardt, et al.. (2024). JAK inhibition enhances checkpoint blockade immunotherapy in patients with Hodgkin lymphoma. Science. 384(6702). eade8520–eade8520. 77 indexed citations breakdown →
3.
Žák, Jaroslav, Wenjian Wang, Ke Qin, et al.. (2024). Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy. Cancer Immunology Research. 13(1). 47–65. 7 indexed citations
4.
Cho, Jong Hyun, Chao Wang, Yujie Shi, et al.. (2024). Targeted desialylation and cytolysis of tumour cells by fusing a sialidase to a bispecific T-cell engager. Nature Biomedical Engineering. 8(5). 499–512. 14 indexed citations
5.
Shaabani, Namir, Jaroslav Žák, Jennifer L. Johnson, et al.. (2024). ISG15 Drives Immune Pathology and Respiratory Failure during Systemic Lymphocytic Choriomeningitis Virus Infection. The Journal of Immunology. 213(12). 1811–1824.
6.
7.
Wang, Chao, Jaroslav Žák, Kelli A. McCord, et al.. (2024). 579 Siglec-7/9 receptors suppress T cell immunity via trogocytosis and represent degradable targets for cancer immunotherapy. Regular and Young Investigator Award Abstracts. A660–A660. 1 indexed citations
8.
Žák, Jaroslav, et al.. (2022). B cell–derived IL-27 promotes control of persistent LCMV infection. Proceedings of the National Academy of Sciences. 119(3). 20 indexed citations
9.
Huang, Zhe, Seung Goo Kang, Yunqiao Li, et al.. (2021). IFNAR1 signaling in NK cells promotes persistent virus infection. Science Advances. 7(13). 12 indexed citations
10.
Bachanová, Veronika, Livia Hegerova, Qing Cao, et al.. (2021). Ruxolitinib Plus Nivolumab in Patients with R/R Hodgkin Lymphoma after Failure of Check-Point Inhibitors: Preliminary Report on Safety and Efficacy. Blood. 138(Supplement 1). 230–230. 8 indexed citations
11.
Huang, Zhe, Jaroslav Žák, Namir Shaabani, et al.. (2019). IL-27 promotes the expansion of self-renewing CD8+ T cells in persistent viral infection. The Journal of Experimental Medicine. 216(8). 1791–1808. 45 indexed citations
12.
Marro, Brett S., Jaroslav Žák, Reza Beheshti Zavareh, et al.. (2019). Discovery of Small Molecules for the Reversal of T Cell Exhaustion. Cell Reports. 29(10). 3293–3302.e3. 32 indexed citations
13.
Marro, Brett S., Brian C. Ware, Jaroslav Žák, et al.. (2017). Progression of type 1 diabetes from the prediabetic stage is controlled by interferon-α signaling. Proceedings of the National Academy of Sciences. 114(14). 3708–3713. 42 indexed citations
14.
Koblížek, Vladimír, J Chlumský, Vladimir Zindr, et al.. (2015). GOLD and phenotypes: The new Czech COPD guidelines. PA3937–PA3937. 1 indexed citations
15.
Royer, Christophe, Xiao Qin, Jaroslav Žák, et al.. (2014). ASPP2 Links the Apical Lateral Polarity Complex to the Regulation of YAP Activity in Epithelial Cells. PLoS ONE. 9(10). e111384–e111384. 27 indexed citations
16.
Lü, Min, Jaroslav Žák, Shuo Chen, et al.. (2014). A Code for RanGDP Binding in Ankyrin Repeats Defines a Nuclear Import Pathway. Cell. 157(5). 1130–1145. 58 indexed citations
17.

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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