Mark Anczurowski

1.3k total citations · 1 hit paper
16 papers, 948 citations indexed

About

Mark Anczurowski is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Mark Anczurowski has authored 16 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Mark Anczurowski's work include Immune Cell Function and Interaction (13 papers), CAR-T cell therapy research (9 papers) and T-cell and B-cell Immunology (8 papers). Mark Anczurowski is often cited by papers focused on Immune Cell Function and Interaction (13 papers), CAR-T cell therapy research (9 papers) and T-cell and B-cell Immunology (8 papers). Mark Anczurowski collaborates with scholars based in Canada, Japan and United States. Mark Anczurowski's co-authors include Naoto Hirano, Tingxi Guo, Marcus O. Butler, Kayoko Saso, Yuki Kagoya, Chung-Hsi Wang, Mark D. Minden, Shinya Tanaka, Munehide Nakatsugawa and Toshiki Ochi and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.

In The Last Decade

Mark Anczurowski

16 papers receiving 931 citations

Hit Papers

A novel chimeric antigen receptor containing a JAK–STAT s... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Anczurowski Canada 11 735 443 368 211 204 16 948
Angela C. Boroughs United States 8 641 0.9× 321 0.7× 264 0.7× 245 1.2× 203 1.0× 8 812
Kayoko Saso Canada 13 753 1.0× 447 1.0× 597 1.6× 212 1.0× 228 1.1× 21 1.2k
Ryan Urak United States 15 910 1.2× 402 0.9× 425 1.2× 301 1.4× 254 1.2× 31 1.1k
Stefanie Lesch Germany 8 686 0.9× 278 0.6× 284 0.8× 211 1.0× 188 0.9× 10 798
Clay Lyddane United States 7 626 0.9× 455 1.0× 307 0.8× 139 0.7× 247 1.2× 7 909
Alba Rodríguez-García United States 13 637 0.9× 385 0.9× 283 0.8× 181 0.9× 245 1.2× 17 876
Bipulendu Jena United States 8 610 0.8× 315 0.7× 235 0.6× 128 0.6× 251 1.2× 14 725
Gordon Weng-Kit Cheung United Kingdom 8 706 1.0× 200 0.5× 423 1.1× 264 1.3× 291 1.4× 13 836
Anthony F. Daniyan United States 12 784 1.1× 363 0.8× 326 0.9× 241 1.1× 237 1.2× 24 1.0k

Countries citing papers authored by Mark Anczurowski

Since Specialization
Citations

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

Fields of papers citing papers by Mark Anczurowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Anczurowski

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

All Works

16 of 16 papers shown
1.
Koch, Elizabeth, et al.. (2022). 831P Outcomes of immune checkpoint inhibitors in patients with metastatic uveal melanoma treated with tebentafusp. Annals of Oncology. 33. S928–S928. 2 indexed citations
2.
Sugata, Kenji, Yukiko Matsunaga, Yūki Yamashita, et al.. (2021). Affinity-matured HLA class II dimers for robust staining of antigen-specific CD4+ T cells. Nature Biotechnology. 39(8). 958–967. 14 indexed citations
3.
Kagoya, Yuki, Tingxi Guo, Brian Yeung, et al.. (2020). Genetic Ablation of HLA Class I, Class II, and the T-cell Receptor Enables Allogeneic T Cells to Be Used for Adoptive T-cell Therapy. Cancer Immunology Research. 8(7). 926–936. 126 indexed citations
4.
Anczurowski, Mark, Kenji Sugata, Yukiko Matsunaga, et al.. (2019). Chaperones of the class I peptide-loading complex facilitate the constitutive presentation of endogenous antigens on HLA-DP84GGPM87. Journal of Autoimmunity. 102. 114–125. 2 indexed citations
5.
Kagoya, Yuki, Hiroshi Saijo, Yukiko Matsunaga, et al.. (2018). Arginine methylation of FOXP3 is crucial for the suppressive function of regulatory T cells. Journal of Autoimmunity. 97. 10–21. 38 indexed citations
6.
Anczurowski, Mark & Naoto Hirano. (2018). Mechanisms of HLA-DP Antigen Processing and Presentation Revisited. Trends in Immunology. 39(12). 960–964. 14 indexed citations
7.
Kagoya, Yuki, Munehide Nakatsugawa, Kayoko Saso, et al.. (2018). DOT1L inhibition attenuates graft-versus-host disease by allogeneic T cells in adoptive immunotherapy models. Nature Communications. 9(1). 1915–1915. 22 indexed citations
8.
Kagoya, Yuki, Shinya Tanaka, Tingxi Guo, et al.. (2018). A novel chimeric antigen receptor containing a JAK–STAT signaling domain mediates superior antitumor effects. Nature Medicine. 24(3). 352–359. 446 indexed citations breakdown →
9.
Anczurowski, Mark, Yūki Yamashita, Munehide Nakatsugawa, et al.. (2018). Mechanisms underlying the lack of endogenous processing and CLIP-mediated binding of the invariant chain by HLA-DP84Gly. Scientific Reports. 8(1). 4804–4804. 7 indexed citations
10.
Kagoya, Yuki, Munehide Nakatsugawa, Toshiki Ochi, et al.. (2017). Transient stimulation expands superior antitumor T cells for adoptive therapy. JCI Insight. 2(2). e89580–e89580. 44 indexed citations
11.
Yamashita, Yūki, Mark Anczurowski, Munehide Nakatsugawa, et al.. (2017). HLA-DP84Gly constitutively presents endogenous peptides generated by the class I antigen processing pathway. Nature Communications. 8(1). 15244–15244. 29 indexed citations
12.
Guo, Tingxi, Yuki Kagoya, Mark Anczurowski, et al.. (2017). A Subset of Human Autoreactive CD1c-Restricted T Cells Preferentially Expresses TRBV4-1+ TCRs. The Journal of Immunology. 200(2). 500–511. 18 indexed citations
13.
Kagoya, Yuki, Munehide Nakatsugawa, Yūki Yamashita, et al.. (2016). BET bromodomain inhibition enhances T cell persistence and function in adoptive immunotherapy models. Journal of Clinical Investigation. 126(9). 3479–3494. 168 indexed citations
14.
Guo, Tingxi, Kenji Chamoto, Munehide Nakatsugawa, et al.. (2016). Mouse and Human CD1d-Self-Lipid Complexes Are Recognized Differently by Murine Invariant Natural Killer T Cell Receptors. PLoS ONE. 11(5). e0156114–e0156114. 4 indexed citations
15.
Nakatsugawa, Munehide, Yūki Yamashita, Toshiki Ochi, et al.. (2016). CD4+ and CD8+ TCRβ repertoires possess different potentials to generate extraordinarily high-avidity T cells. Scientific Reports. 6(1). 23821–23821. 12 indexed citations
16.
Guo, Tingxi, Toshiki Ochi, Munehide Nakatsugawa, et al.. (2016). Generating <em>De Novo</em> Antigen-specific Human T Cell Receptors by Retroviral Transduction of Centric Hemichain. Journal of Visualized Experiments. 2 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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