Erik Yusko

3.8k total citations
30 papers, 1.4k citations indexed

About

Erik Yusko is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Erik Yusko has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Immunology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Erik Yusko's work include Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (15 papers) and CAR-T cell therapy research (14 papers). Erik Yusko is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (15 papers) and CAR-T cell therapy research (14 papers). Erik Yusko collaborates with scholars based in United States, Australia and Germany. Erik Yusko's co-authors include Harlan Robins, Marissa Vignali, Catherine Sanders, Ryan Emerson, Julie Rytlewski, Jamie Honeychurch, Edmund Poon, Robert W. Wilkinson, Ross Stewart and Tim Illidge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Erik Yusko

28 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Yusko United States 16 984 710 242 167 158 30 1.4k
Alison Klein United States 3 1.7k 1.7× 843 1.2× 463 1.9× 202 1.2× 176 1.1× 4 1.9k
James L. Reading United Kingdom 14 698 0.7× 543 0.8× 272 1.1× 391 2.3× 75 0.5× 29 1.4k
Jena D. French United States 16 668 0.7× 650 0.9× 292 1.2× 294 1.8× 193 1.2× 27 1.7k
Christoph Mancao United States 15 867 0.9× 312 0.4× 221 0.9× 165 1.0× 396 2.5× 42 1.2k
H. David Inzunza United States 8 798 0.8× 483 0.7× 156 0.6× 225 1.3× 58 0.4× 12 1.0k
Hanane Ouakrim France 13 1.5k 1.5× 1.2k 1.7× 564 2.3× 371 2.2× 159 1.0× 16 2.2k
Mikel Lipschitz United States 10 786 0.8× 536 0.8× 168 0.7× 220 1.3× 330 2.1× 14 1.0k
Hiroshi Nakagomi Japan 16 558 0.6× 435 0.6× 162 0.7× 272 1.6× 194 1.2× 58 1.2k
Thomas R. Nirschl United States 15 1.0k 1.0× 677 1.0× 443 1.8× 222 1.3× 37 0.2× 33 1.4k
Pia Klausen Denmark 16 387 0.4× 291 0.4× 118 0.5× 246 1.5× 105 0.7× 33 928

Countries citing papers authored by Erik Yusko

Since Specialization
Citations

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

Fields of papers citing papers by Erik Yusko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Yusko

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

All Works

20 of 20 papers shown
1.
Muthuraman, Krithika, Matthew R. Jackman, Yu Liang, et al.. (2025). Human antibody targeting of coronavirus spike S2 subunit is associated with protection mediated by Fc effector functions. Journal of Virology. 99(12). e0152325–e0152325.
2.
Miljković, Miloš D., Christopher Melani, Stefania Pittaluga, et al.. (2021). Next-Generation Sequencing-Based Monitoring of Circulating Tumor DNA Reveals Clonotypic Heterogeneity in Untreated PTCL. Blood Advances. 5(20). 4198–4210. 17 indexed citations
3.
Rytlewski, Julie, James S. Wilmott, Martín C. Mihm, et al.. (2020). Molecular analysis of primary melanoma T cells identifies patients at risk for metastatic recurrence. Nature Cancer. 1(2). 197–209. 19 indexed citations
4.
Leick, Mark B., Rachel M. Gittelman, Erik Yusko, et al.. (2020). T Cell Clonal Dynamics Determined by High-Resolution TCR-β Sequencing in Recipients after Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(9). 1567–1574. 15 indexed citations
5.
Yusko, Erik, Marissa Vignali, Richard K. Wilson, et al.. (2019). Association of Tumor Microenvironment T-cell Repertoire and Mutational Load with Clinical Outcome after Sequential Checkpoint Blockade in Melanoma. Cancer Immunology Research. 7(3). 458–465. 38 indexed citations
6.
Rytlewski, Julie, Shibing Deng, Tao Xie, et al.. (2019). Model to improve specificity for identification of clinically-relevant expanded T cells in peripheral blood. PLoS ONE. 14(3). e0213684–e0213684. 23 indexed citations
7.
Agdashian, David, Mei ElGindi, Changqing Xie, et al.. (2019). The effect of anti-CTLA4 treatment on peripheral and intra-tumoral T cells in patients with hepatocellular carcinoma. Cancer Immunology Immunotherapy. 68(4). 599–608. 103 indexed citations
8.
Khunger, Arjun, Julie Rytlewski, Paul Fields, Erik Yusko, & Ahmad A. Tarhini. (2019). The impact of CTLA-4 blockade and interferon-α on clonality of T-cell repertoire in the tumor microenvironment and peripheral blood of metastatic melanoma patients. OncoImmunology. 8(11). e1652538–e1652538. 25 indexed citations
9.
Hopkins, Alexander C., Mark Yarchoan, Jennifer N. Durham, et al.. (2018). T cell receptor repertoire features associated with survival in immunotherapy-treated pancreatic ductal adenocarcinoma. JCI Insight. 3(13). 175 indexed citations
10.
Tarhini, Ahmad A., Yan Lin, Lin Huang, et al.. (2018). Neoadjuvant ipilimumab (3 mg/kg or 10 mg/kg) and high dose IFN-α2b in locally/regionally advanced melanoma: safety, efficacy and impact on T-cell repertoire. Journal for ImmunoTherapy of Cancer. 6(1). 112–112. 51 indexed citations
11.
Arrieta‐Bolaños, Esteban, Pietro Crivello, Julie Rytlewski, et al.. (2018). Alloreactive T Cell Receptor Diversity against Structurally Similar or Dissimilar HLA-DP Antigens Assessed by Deep Sequencing. Frontiers in Immunology. 9. 280–280. 7 indexed citations
12.
Dovedi, Simon J., Eleanor J. Cheadle, Edmund Poon, et al.. (2017). Fractionated Radiation Therapy Stimulates Antitumor Immunity Mediated by Both Resident and Infiltrating Polyclonal T-cell Populations when Combined with PD-1 Blockade. Clinical Cancer Research. 23(18). 5514–5526. 263 indexed citations
13.
Shrimali, Rajeev, Shamim Ahmad, Vivek Verma, et al.. (2017). Concurrent PD-1 Blockade Negates the Effects of OX40 Agonist Antibody in Combination Immunotherapy through Inducing T-cell Apoptosis. Cancer Immunology Research. 5(9). 755–766. 117 indexed citations
14.
Willingham, Stephen B., Andrew Hotson, Po Y. Ho, et al.. (2017). Abstract 5593: Inhibition of A2AR induces anti-tumor immunity alone and in combination with anti-PD-L1 in preclinical and clinical studies. Cancer Research. 77(13_Supplement). 5593–5593. 1 indexed citations
15.
Yin, Qingsong, Mariela Sivina, Harlan Robins, et al.. (2017). Ibrutinib Therapy Increases T Cell Repertoire Diversity in Patients with Chronic Lymphocytic Leukemia. The Journal of Immunology. 198(4). 1740–1747. 90 indexed citations
16.
Sedighim, Shaina, Tina Wang, Joseph Antonios, et al.. (2016). TCR Sequencing Can Identify and Track Glioma-Infiltrating T Cells after DC Vaccination. Cancer Immunology Research. 4(5). 412–418. 53 indexed citations
17.
Weber, Jeffrey S., Christine E. Horak, F. Stephen Hodi, et al.. (2016). Baseline tumor T cell receptor (TcR) sequencing analysis and neo antigen load is associated with benefit in melanoma patients receiving sequential nivolumab and ipilimumab. Annals of Oncology. 27. vi359–vi359. 9 indexed citations
18.
Seay, Howard R., Erik Yusko, Lin Zhang, et al.. (2016). Tissue distribution and clonal diversity of the T and B cell repertoire in type 1 diabetes. JCI Insight. 1(20). e88242–e88242. 98 indexed citations
19.
Zhang, Jianjun, Junya Fujimoto, Erik Yusko, et al.. (2016). Intra-tumor heterogeneity of T cell receptor repertoire in lung cancers and its association with tumor genomic profile.. Journal of Clinical Oncology. 34(15_suppl). 8539–8539. 2 indexed citations
20.
Subudhi, Sumit K., Ana M. Aparicio, Jianjun Gao, et al.. (2016). Clonal expansion of CD8 T cells in the systemic circulation precedes development of ipilimumab-induced toxicities. Proceedings of the National Academy of Sciences. 113(42). 11919–11924. 170 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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