Jason Yi

930 total citations
19 papers, 642 citations indexed

About

Jason Yi is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jason Yi has authored 19 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 10 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Jason Yi's work include CAR-T cell therapy research (10 papers), T-cell and B-cell Immunology (7 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Jason Yi is often cited by papers focused on CAR-T cell therapy research (10 papers), T-cell and B-cell Immunology (7 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Jason Yi collaborates with scholars based in United States, Israel and South Korea. Jason Yi's co-authors include Xufeng Wu, John A. Hammer, Lawrence E. Samelson, Andrew H. Chung, Katherine M. McIntire, James Chen, Lakshmi Balagopalan, Tarun M. Kapoor, Tiffany Nguyen and Jinsung Hong and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Jason Yi

16 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Yi United States	8	313	222	209	125	123	19	642
Christian M. Gawden‐Bone United Kingdom	11	304 1.0×	170 0.8×	197 0.9×	102 0.8×	124 1.0×	12	618
Anne Reversat Austria	8	365 1.2×	303 1.4×	205 1.0×	85 0.7×	88 0.7×	9	763
V. Kaye Thomas United States	8	542 1.7×	212 1.0×	336 1.6×	164 1.3×	156 1.3×	11	1.0k
Sophie V. Pageon Australia	9	411 1.3×	91 0.4×	218 1.0×	113 0.9×	48 0.4×	16	727
Jinsung Hong United States	9	299 1.0×	195 0.9×	122 0.6×	110 0.9×	146 1.2×	10	559
Alex T. Ritter United States	11	381 1.2×	176 0.8×	306 1.5×	156 1.2×	57 0.5×	12	749
Alon Oyler‐Yaniv United States	6	303 1.0×	151 0.7×	153 0.7×	155 1.2×	62 0.5×	8	564
Alexander Babich United States	7	294 0.9×	138 0.6×	167 0.8×	215 1.7×	122 1.0×	10	604
Tsung‐Li Liu United States	6	168 0.5×	118 0.5×	137 0.7×	64 0.5×	51 0.4×	11	468
H. Ike Japan	5	225 0.7×	200 0.9×	378 1.8×	75 0.6×	43 0.3×	6	710

Countries citing papers authored by Jason Yi

Since Specialization

Citations

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

Fields of papers citing papers by Jason Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Yi

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

All Works

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19 of 19 papers shown

Raychaudhuri, Kumarkrishna, Andy D. Tran, Sandeep Pallikkuth, et al.. (2024). CD28 shapes T cell receptor signaling by regulating Lck dynamics and ZAP70 activation. Frontiers in Immunology. 15. 1503018–1503018.

Balagopalan, Lakshmi, Haiying Qin, Taisuke Kondo, et al.. (2024). Generation of antitumor chimeric antigen receptors incorporating T cell signaling motifs. Science Signaling. 17(846). eadp8569–eadp8569. 5 indexed citations

Weinberger, Leehee, Jason Yi, Michael R. Weist, et al.. (2023). HER2 and HLA-A*02 dual CAR-T cells utilize LOH in a NOT logic gate to address on-target off-tumor toxicity. Journal for ImmunoTherapy of Cancer. 11(12). e007426–e007426. 16 indexed citations

Weist, Michael R., Leehee Weinberger, Jason Yi, et al.. (2022). 316 Next generation CAR-T incorporating an inhibitory CAR (iCAR) for increased safety in solid tumors. Regular and Young Investigator Award Abstracts. A332–A332.

Yi, Jason, Sarit Tabak, Leehee Weinberger, et al.. (2022). Abstract 2848: Incorporation of inhibitory signaling domains into chimeric antigen receptors (iCAR) designed for self-regulation of canonical CAR-T to treat solid tumors. Cancer Research. 82(12_Supplement). 2848–2848.

Oh, Julyun, et al.. (2021). Design of TCR Structural Variants That Retain or Invert the Normal Activation Signal. ImmunoHorizons. 5(5). 349–359. 3 indexed citations

Huang, Grace L., et al.. (2020). A multivariate, quantitative assay that disentangles key kinetic parameters of primary human T cell function in vitro. PLoS ONE. 15(11). e0241421–e0241421. 3 indexed citations

Yi, Jason, et al.. (2020). Actin retrograde flow and actomyosin II arc contraction drive receptor cluster dynamics at the immunological synapse in Jurkat T cells. UNC Libraries. 1 indexed citations

Yi, Jason, Lakshmi Balagopalan, Tiffany Nguyen, Katherine M. McIntire, & Lawrence E. Samelson. (2019). TCR microclusters form spatially segregated domains and sequentially assemble in calcium-dependent kinetic steps. Nature Communications. 10(1). 277–277. 66 indexed citations

10.

Balagopalan, Lakshmi, Jason Yi, Tiffany Nguyen, et al.. (2018). Plasma membrane LAT activation precedes vesicular recruitment defining two phases of early T-cell activation. Nature Communications. 9(1). 2013–2013. 35 indexed citations

11.

Yi, Jason, et al.. (2017). Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM. Journal of Visualized Experiments. 3 indexed citations

12.

Barr, Valarie A., Jason Yi, & Lawrence E. Samelson. (2017). Super-resolution Analysis of TCR-Dependent Signaling: Single-Molecule Localization Microscopy. Methods in molecular biology. 1584. 183–206. 1 indexed citations

13.

Kariyanna, Pramod Theetha, et al.. (2016). Gastric Sarcoidosis: A Difficult to Diagnose Rare Disease. American Journal of Medical Case Reports. 4(2). 58–61. 1 indexed citations

14.

Yi, Jason, et al.. (2016). madSTORM: a superresolution technique for large-scale multiplexing at single-molecule accuracy. Molecular Biology of the Cell. 27(22). 3591–3600. 36 indexed citations

15.

Shim, Dongha, et al.. (2016). A wide-angle camera module for disposable endoscopy. Optical Review. 23(4). 596–600. 3 indexed citations

16.

Barr, Valarie A., Eilon Sherman, Jason Yi, et al.. (2016). Development of nanoscale structure in LAT-based signaling complexes. Journal of Cell Science. 129(24). 4548–4562. 12 indexed citations

17.

Hong, Jinsung, Jason Yi, Dong Li, et al.. (2016). Formin-generated actomyosin arcs propel T cell receptor microcluster movement at the immune synapse. The Journal of Cell Biology. 215(3). 383–399. 139 indexed citations

18.

Yi, Jason, Xufeng Wu, Andrew H. Chung, et al.. (2013). Centrosome repositioning in T cells is biphasic and driven by microtubule end-on capture-shrinkage. The Journal of Cell Biology. 202(5). 779–792. 112 indexed citations

19.

Yi, Jason, et al.. (2012). Actin retrograde flow and actomyosin II arc contraction drive receptor cluster dynamics at the immunological synapse in Jurkat T cells. Molecular Biology of the Cell. 23(5). 834–852. 206 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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