Jonathan J. Park

3.0k total citations · 1 hit paper
25 papers, 1.3k citations indexed

About

Jonathan J. Park is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jonathan J. Park has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Oncology. Recurrent topics in Jonathan J. Park's work include CAR-T cell therapy research (9 papers), CRISPR and Genetic Engineering (8 papers) and Immune Cell Function and Interaction (6 papers). Jonathan J. Park is often cited by papers focused on CAR-T cell therapy research (9 papers), CRISPR and Genetic Engineering (8 papers) and Immune Cell Function and Interaction (6 papers). Jonathan J. Park collaborates with scholars based in United States, China and Japan. Jonathan J. Park's co-authors include Sidi Chen, Xiaoyun Dai, Guangchuan Wang, Youssef Errami, Matthew B. Dong, Yaying Du, Ryan D. Chow, Lupeng Ye, Lei Peng and Thomas L. Leto and has published in prestigious journals such as Cell, Nature Biotechnology and Molecular Cell.

In The Last Decade

Jonathan J. Park

24 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy

2022 143 citations Lupeng Ye, Jonathan J. Park et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan J. Park United States	14	795	504	437	196	153	25	1.3k
Michelle H. Nelson United States	19	604 0.8×	747 1.5×	713 1.6×	147 0.8×	123 0.8×	35	1.6k
Jinhui Hu China	12	640 0.8×	591 1.2×	402 0.9×	146 0.7×	137 0.9×	31	1.3k
Łukasz Kuryk Poland	21	687 0.9×	568 1.1×	302 0.7×	641 3.3×	182 1.2×	61	1.4k
Carl E. Ruby United States	22	488 0.6×	685 1.4×	1.0k 2.3×	163 0.8×	146 1.0×	33	1.7k
Stephanie Hao United States	10	947 1.2×	254 0.5×	399 0.9×	93 0.5×	184 1.2×	15	1.3k
Josephine Y. Lee United States	6	484 0.6×	473 0.9×	343 0.8×	232 1.2×	115 0.8×	6	1.3k
Mario Köster Germany	20	499 0.6×	401 0.8×	703 1.6×	133 0.7×	108 0.7×	47	1.4k
Federica Pericle United States	27	557 0.7×	595 1.2×	1.2k 2.8×	272 1.4×	101 0.7×	42	1.9k
Purnima Dubey United States	20	556 0.7×	487 1.0×	583 1.3×	166 0.8×	141 0.9×	45	1.5k
Robert K. Bright United States	22	670 0.8×	477 0.9×	497 1.1×	174 0.9×	202 1.3×	60	1.5k

Countries citing papers authored by Jonathan J. Park

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan J. Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Park. 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 Jonathan J. Park. The network helps show where Jonathan J. Park may publish in the future.

Co-authorship network of co-authors of Jonathan J. Park

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

All Works

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20 of 20 papers shown

Renauer, Paul, Giacomo Sferruzza, Luojia Yang, et al.. (2024). In vivo AAV–SB-CRISPR screens of tumor-infiltrating primary NK cells identify genetic checkpoints of CAR-NK therapy. Nature Biotechnology. 43(5). 752–761. 26 indexed citations

Renauer, Paul, Jonathan J. Park, Meizhu Bai, et al.. (2023). Immunogenetic Metabolomics Reveals Key Enzymes That Modulate CAR T-cell Metabolism and Function. Cancer Immunology Research. 11(8). 1068–1084. 19 indexed citations

Zhang, Li, Jonathan J. Park, Matthew B. Dong, et al.. (2023). Human Gene Age Dating Reveals an Early and Rapid Evolutionary Construction of the Adaptive Immune System. Genome Biology and Evolution. 15(5). 1 indexed citations

Park, Jonathan J., et al.. (2023). Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity. Communications Biology. 6(1). 76–76. 19 indexed citations

Park, Jonathan J., et al.. (2023). Pembrolizumab-induced lichenoid dermatitis treated with dupilumab. JAAD Case Reports. 37. 13–15. 4 indexed citations

Dai, Xiaoyun, Jonathan J. Park, Yaying Du, et al.. (2023). Massively parallel knock-in engineering of human T cells. Nature Biotechnology. 41(9). 1239–1255. 34 indexed citations

Ye, Lupeng, Jonathan J. Park, Lei Peng, et al.. (2022). A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy. Cell Metabolism. 34(4). 595–614.e14. 143 indexed citations breakdown →

Park, Jonathan J., Alicia J. Little, & Matthew D. Vesely. (2022). Treatment of cutaneous lupus with topical ruxolitinib cream. JAAD Case Reports. 28. 133–135. 13 indexed citations

Peng, Lei, Zhenhao Fang, Paul Renauer, et al.. (2022). Multiplexed LNP-mRNA vaccination against pathogenic coronavirus species. Cell Reports. 40(5). 111160–111160. 12 indexed citations

10.

Peng, Lei, Paul Renauer, Zhenhao Fang, et al.. (2022). Variant-specific vaccination induces systems immune responses and potent in vivo protection against SARS-CoV-2. Cell Reports Medicine. 3(5). 100634–100634. 11 indexed citations

11.

Park, Jonathan J. & Sidi Chen. (2021). Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learning. Patterns. 3(2). 100407–100407. 3 indexed citations

12.

Yuan, Shuai, Lei Peng, Jonathan J. Park, et al.. (2020). Nonstructural Protein 1 of SARS-CoV-2 Is a Potent Pathogenicity Factor Redirecting Host Protein Synthesis Machinery toward Viral RNA. Molecular Cell. 80(6). 1055–1066.e6. 134 indexed citations

13.

Ye, Lupeng, Jonathan J. Park, Matthew B. Dong, et al.. (2019). In vivo CRISPR screening in CD8 T cells with AAV–Sleeping Beauty hybrid vectors identifies membrane targets for improving immunotherapy for glioblastoma. Nature Biotechnology. 37(11). 1302–1313. 148 indexed citations

14.

Rozowsky, Joel, Robert R. Kitchen, Jonathan J. Park, et al.. (2019). exceRpt: A Comprehensive Analytic Platform for Extracellular RNA Profiling. Cell Systems. 8(4). 352–357.e3. 105 indexed citations

15.

Wang, Guangchuan, Ryan D. Chow, Zhigang Bai, et al.. (2019). Multiplexed activation of endogenous genes by CRISPRa elicits potent antitumor immunity. Nature Immunology. 20(11). 1494–1505. 88 indexed citations

16.

Dai, Xiaoyun, Jonathan J. Park, Yaying Du, et al.. (2019). One-step generation of modular CAR-T cells with AAV–Cpf1. Nature Methods. 16(3). 247–254. 107 indexed citations

17.

Dong, Matthew B., Guangchuan Wang, Ryan D. Chow, et al.. (2019). Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell. 178(5). 1189–1204.e23. 213 indexed citations

18.

Renauer, Paul, Guangchuan Wang, Ryan D. Chow, et al.. (2019). Convergent Identification and Interrogation of Tumor-Intrinsic Factors that Modulate Cancer Immunity In Vivo. Cell Systems. 8(2). 136–151.e7. 12 indexed citations

19.

Preston, Kathleen S. J., et al.. (2017). Simultaneous Linking of Cross-Informant and Longitudinal Data Involving Positive Family Relationships. Educational and Psychological Measurement. 78(3). 409–429. 4 indexed citations

20.

Rada, Balázs, Lan Pang, Jonathan J. Park, et al.. (2013). Pyocyanin-Enhanced Neutrophil Extracellular Trap Formation Requires the NADPH Oxidase. PLoS ONE. 8(1). e54205–e54205. 104 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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