Linchun Jin

1.9k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Linchun Jin is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Linchun Jin has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Linchun Jin's work include CAR-T cell therapy research (10 papers), Glioma Diagnosis and Treatment (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Linchun Jin is often cited by papers focused on CAR-T cell therapy research (10 papers), Glioma Diagnosis and Treatment (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Linchun Jin collaborates with scholars based in United States, China and Netherlands. Linchun Jin's co-authors include Edwin Chang, Heike E. Daldrup‐Link, Yang Wu, Michael Zhang, Jessica Klockow, Wei Wu, Jianping Huang, Duane A. Mitchell, Elias Sayour and Haipeng Tao and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Linchun Jin

16 papers receiving 1.1k citations

Hit Papers

Glioblastoma multiforme (GBM): An overview of current the... 2021 2026 2022 2024 2021 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
Linchun Jin United States 10 533 378 336 288 260 18 1.1k
John Choi United States 18 468 0.9× 575 1.5× 488 1.5× 489 1.7× 220 0.8× 42 1.5k
Michael C. Burger Germany 15 604 1.1× 346 0.9× 525 1.6× 289 1.0× 102 0.4× 47 1.1k
Yuanxuan Xia United States 12 402 0.8× 436 1.2× 492 1.5× 515 1.8× 255 1.0× 43 1.4k
Katarzyna C. Pituch United States 13 414 0.8× 328 0.9× 597 1.8× 316 1.1× 138 0.5× 16 1.1k
Manuela Silginer Switzerland 16 344 0.6× 415 1.1× 289 0.9× 361 1.3× 155 0.6× 31 1.0k
Tatsuhiro Joki Japan 15 220 0.4× 358 0.9× 183 0.5× 216 0.8× 145 0.6× 31 1.1k
Helena Motaln Slovenia 22 283 0.5× 613 1.6× 130 0.4× 374 1.3× 176 0.7× 44 1.2k
Padma Kadiyala United States 15 303 0.6× 446 1.2× 425 1.3× 273 0.9× 269 1.0× 41 1.1k
Darya Alizadeh United States 13 942 1.8× 417 1.1× 514 1.5× 188 0.7× 393 1.5× 25 1.3k
Tali Voloshin Israel 19 404 0.8× 490 1.3× 207 0.6× 495 1.7× 441 1.7× 79 1.4k

Countries citing papers authored by Linchun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Linchun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linchun Jin

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

All Works

18 of 18 papers shown
1.
Zhou, Mingming, Na Yang, Chang Ge, et al.. (2025). TUBA1B as a novel prognostic biomarker correlated with immunosuppressive tumor microenvironment and immunotherapy response. Frontiers in Pharmacology. 16. 1517887–1517887.
2.
He, Tingchao, et al.. (2025). The role of glial cells in neuralgia: a bibliometric exploration. Frontiers in Neurology. 16. 1496526–1496526. 1 indexed citations
3.
Ligon, John A., Paul Castillo, Xiaojie Ma, et al.. (2024). CD70 CXCR2-Modified CAR T-Cells Against Acute Myeloid Leukemia. Transplantation and Cellular Therapy. 30(2). S178–S179. 1 indexed citations
4.
Ogando‐Rivas, Elizabeth, John A. Ligon, Linchun Jin, et al.. (2023). Bioconjugated liquid-like solid enhances characterization of solid tumor - chimeric antigen receptor T cell interactions. Acta Biomaterialia. 172. 466–479. 9 indexed citations
5.
Chang, Edwin, Linchun Jin, Shiqin Liu, et al.. (2022). Multimodal In Vivo Tracking of Chimeric Antigen Receptor T Cells in Preclinical Glioblastoma Models. Investigative Radiology. 58(6). 388–395. 13 indexed citations
6.
Ogando‐Rivas, Elizabeth, Ruixuan Liu, Theodore Wang, et al.. (2022). CAR T Cell Locomotion in Solid Tumor Microenvironment. Cells. 11(12). 1974–1974. 35 indexed citations
7.
Karachi, Aida, Farhad Dastmalchi, Jianping Huang, et al.. (2021). Optimizing T Cell-Based Therapy for Glioblastoma. Frontiers in Immunology. 12. 705580–705580. 13 indexed citations
8.
Wu, Wei, Jessica Klockow, Michael Zhang, et al.. (2021). Glioblastoma multiforme (GBM): An overview of current therapies and mechanisms of resistance. Pharmacological Research. 171. 105780–105780. 458 indexed citations breakdown →
9.
Jin, Linchun, Haipeng Tao, Na Meng, et al.. (2020). IMMU-38. PRECLINICAL VALIDATION AND MANUFACTURE OF IL-8 RECEPTOR-MODIFIED CD70 CAR T CELLS FOR CLINICAL TRIAL. Neuro-Oncology. 22(Supplement_2). ii113–ii113.
10.
Long, Yu, Haipeng Tao, Aida Karachi, et al.. (2019). Dysregulation of Glutamate Transport Enhances Treg Function That Promotes VEGF Blockade Resistance in Glioblastoma. Cancer Research. 80(3). 499–509. 93 indexed citations
11.
Jin, Linchun, Haipeng Tao, Aida Karachi, et al.. (2019). CXCR1- or CXCR2-modified CAR T cells co-opt IL-8 for maximal antitumor efficacy in solid tumors. Nature Communications. 10(1). 4016–4016. 285 indexed citations
12.
Meng, Na, Linchun Jin, Haipeng Tao, et al.. (2019). IMMU-26. RADIATION AND TEMOZOLOMIDE UP-REGULATES CD70 EXPRESSION AND ENHANCES CAR T- CELL RECOGNITION IN GBM. Neuro-Oncology. 21(Supplement_6). vi124–vi124. 1 indexed citations
13.
Jin, Linchun, Dunrui Wang, Kristianna M. Fredenburg, et al.. (2018). CD70 as a target for chimeric antigen receptor T cells in head and neck squamous cell carcinoma. Oral Oncology. 78. 145–150. 53 indexed citations
14.
Mu, Luyan, Yu Long, Changlin Yang, et al.. (2018). The IDH1 Mutation-Induced Oncometabolite, 2-Hydroxyglutarate, May Affect DNA Methylation and Expression of PD-L1 in Gliomas. Frontiers in Molecular Neuroscience. 11. 62 indexed citations
15.
Mu, Luyan, Changlin Yang, Qiang Gao, et al.. (2017). CD4+ and Perivascular Foxp3+ T Cells in Glioma Correlate with Angiogenesis and Tumor Progression. Frontiers in Immunology. 8. 1451–1451. 41 indexed citations
16.
Yang, Changlin, Haitao Ge, Linchun Jin, et al.. (2017). CD70 as a critical mediator of tumor progression and immunosuppression in gliomas.. Journal of Clinical Oncology. 35(7_suppl). 18–18. 1 indexed citations
17.
Jin, Linchun, Haitao Ge, Changlin Yang, et al.. (2017). CD70 as a novel target of CAR-T-cell therapy for gliomas.. Journal of Clinical Oncology. 35(7_suppl). 148–148. 2 indexed citations
18.
Ge, Haitao, Luyan Mu, Linchun Jin, et al.. (2017). Tumor associated CD70 expression is involved in promoting tumor migration and macrophage infiltration in GBM. International Journal of Cancer. 141(7). 1434–1444. 63 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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