Mark Yarmarkovich

790 total citations
10 papers, 258 citations indexed

About

Mark Yarmarkovich is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark Yarmarkovich has authored 10 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark Yarmarkovich's work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and vaccines and immunoinformatics approaches (2 papers). Mark Yarmarkovich is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and vaccines and immunoinformatics approaches (2 papers). Mark Yarmarkovich collaborates with scholars based in United States, Germany and China. Mark Yarmarkovich's co-authors include John M. Maris, Alvin Farrel, John M. Warrington, Jian Yang, Kendal D. Hirschi, Kai Zheng, Robert Bayer, Thomas W. Patapoff, Nikolaos G. Sgourakis and Son Nguyen and has published in prestigious journals such as Nature Communications, Cancer Cell and Scientific Reports.

In The Last Decade

Mark Yarmarkovich

9 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Yarmarkovich United States 8 178 96 68 55 43 10 258
Florent Colomb United Kingdom 12 254 1.4× 207 2.2× 38 0.6× 27 0.5× 43 1.0× 19 375
Veronica Juan United States 8 286 1.6× 63 0.7× 163 2.4× 13 0.2× 29 0.7× 9 359
Sneha Rangarajan United States 10 100 0.6× 135 1.4× 96 1.4× 22 0.4× 38 0.9× 10 312
Mathieu Drouin Canada 10 195 1.1× 47 0.5× 15 0.2× 39 0.7× 59 1.4× 19 312
Naijing Hu China 7 323 1.8× 44 0.5× 13 0.2× 108 2.0× 46 1.1× 16 451
Jared Spidel United States 9 114 0.6× 30 0.3× 79 1.2× 30 0.5× 67 1.6× 12 230
Austin Crinklaw United States 4 212 1.2× 182 1.9× 70 1.0× 18 0.3× 55 1.3× 6 311
Meryem S. Ercanoglu Germany 8 127 0.7× 97 1.0× 36 0.5× 102 1.9× 75 1.7× 12 315
Jo Soden United States 9 117 0.7× 88 0.9× 64 0.9× 17 0.3× 111 2.6× 10 263
Tatiana Zavorotinskaya United States 10 133 0.7× 98 1.0× 40 0.6× 31 0.6× 82 1.9× 23 385

Countries citing papers authored by Mark Yarmarkovich

Since Specialization
Citations

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

Fields of papers citing papers by Mark Yarmarkovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Yarmarkovich

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

All Works

10 of 10 papers shown
1.
Li, Guangyuan, Daniel Schnell, Anukana Bhattacharjee, Mark Yarmarkovich, & Nathan Salomonis. (2024). Quantifying tumor specificity using Bayesian probabilistic modeling for drug and immunotherapeutic target discovery. Cell Reports Methods. 4(11). 100900–100900.
2.
Sun, Yi, S. K. Gupta, Samuel E. Garfinkle, et al.. (2023). Structural principles of peptide-centric chimeric antigen receptor recognition guide therapeutic expansion. Science Immunology. 8(90). eadj5792–eadj5792. 10 indexed citations
3.
Yarmarkovich, Mark, Alvin Farrel, Moreno Di Marco, et al.. (2020). Immunogenicity and Immune Silence in Human Cancer. Frontiers in Immunology. 11. 69–69. 21 indexed citations
4.
Overall, Sarah A., Jugmohit Toor, Stephanie Hao, et al.. (2020). High throughput pMHC-I tetramer library production using chaperone-mediated peptide exchange. Nature Communications. 11(1). 1909–1909. 38 indexed citations
5.
Yarmarkovich, Mark, John M. Warrington, Alvin Farrel, & John M. Maris. (2020). Identification of SARS-CoV-2 Vaccine Epitopes Predicted to Induce Long-Term Population-Scale Immunity. Cell Reports Medicine. 1(3). 100036–100036. 56 indexed citations
6.
Yarmarkovich, Mark & John M. Maris. (2019). When Cold Is Hot: Immune Checkpoint Inhibition Therapy for Rhabdoid Tumors. Cancer Cell. 36(6). 575–576. 9 indexed citations
7.
Yarmarkovich, Mark, Alvin Farrel, Moreno Di Marco, et al.. (2019). Immunogenicity and Immune Silence in Human Cancer. SSRN Electronic Journal. 1 indexed citations
8.
Toor, Jugmohit, Arjun A. Rao, Andrew C. McShan, et al.. (2018). A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations. Frontiers in Immunology. 9. 99–99. 19 indexed citations
9.
Yang, Jian, et al.. (2016). Anomalous uptake and circulatory characteristics of the plant-based small RNA MIR2911. Scientific Reports. 6(1). 26834–26834. 57 indexed citations
10.
Zheng, Kai, et al.. (2014). Influence of glycosylation pattern on the molecular properties of monoclonal antibodies. mAbs. 6(3). 649–658. 47 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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Breakdown of academic impact, for papers by Florent Colomb Breakdown of academic impact, for papers by Veronica Juan Breakdown of academic impact, for papers by Sneha Rangarajan Breakdown of academic impact, for papers by Mathieu Drouin Breakdown of academic impact, for papers by Naijing Hu Breakdown of academic impact, for papers by Jared Spidel Breakdown of academic impact, for papers by Austin Crinklaw Breakdown of academic impact, for papers by Meryem S. Ercanoglu Breakdown of academic impact, for papers by Jo Soden Breakdown of academic impact, for papers by Tatiana Zavorotinskaya
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2026