Gang Xin

2.6k total citations
66 papers, 1.3k citations indexed

About

Gang Xin is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Gang Xin has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 24 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Gang Xin's work include Immune Cell Function and Interaction (18 papers), Immune cells in cancer (11 papers) and CAR-T cell therapy research (7 papers). Gang Xin is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Immune cells in cancer (11 papers) and CAR-T cell therapy research (7 papers). Gang Xin collaborates with scholars based in United States, China and Canada. Gang Xin's co-authors include Weiguo Cui, Kangsheng Li, Ming‐Hui Zhao, Yun Su, Lixia Xu, David Schauder, Zihai Li, Wei Shi, Qin Ma and Yan Li-jun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Gang Xin

61 papers receiving 1.3k citations

Peers

Gang Xin

IMMUN

ONCOL

EPIDE

PRM

Linda Diehl Germany

Anastasios Karadimitris United Kingdom

Gulam A. Manji United States

Liyun Zou China

Jonathan S. Maltzman United States

Daniel J. Dairaghi United States

Benoit Pasquier France

Xiao‐Jie Yan United States

Gary C. Starling United States

Graham P. Cook United Kingdom

Linda Diehl Germany

Gang Xin

1.6k ×2.6

IMMUN

587 ×1.5

641 ×2.0

ONCOL

439 ×2.1

EPIDE

109 ×0.6

PRM

Citations per year, relative to Gang Xin Gang Xin (= 1×) peers Linda Diehl

Countries citing papers authored by Gang Xin

Since Specialization

Citations

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

Fields of papers citing papers by Gang Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Xin. A scholar is included among the top collaborators of Gang Xin 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 Gang Xin. Gang Xin 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

Gao, Fengxia, Jianying Li, Jiacheng Jin, et al.. (2025). USP30 inhibition augments mitophagy to prevent T cell exhaustion. Science Advances. 11(33). eadv6902–eadv6902. 1 indexed citations

Gong, Qiaoke, Kaitlin A. Read, Jacob S. Yount, et al.. (2025). Aiolos restricts the generation of antigen-inexperienced, virtual memory CD8+ T cells in mice. Nature Communications. 17(1). 839–839.

Sun, Nuo, Kaoshan Chen, Jiacheng Jin, et al.. (2025). Mitophagy mitigates mitochondrial fatty acid β-oxidation deficient cardiomyopathy. Nature Communications. 16(1). 5465–5465. 2 indexed citations

Han, Bo, Bin Zhang, Zhong Ren, et al.. (2024). MA17.07 Durvalumab Plus Anlotinib Versus Durvalumab as Maintenance Treatment in ES-SCLC (DURABLE): A Randomized, Phase 2 Trial. Journal of Thoracic Oncology. 19(10). S125–S126. 1 indexed citations

Li, Jingxian, Anjun Ma, Gang Xin, et al.. (2024). MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer. Nature Communications. 15(1). 338–338. 19 indexed citations

Zhou, Lei, Maria Velegraki, Yi Wang, et al.. (2024). Spatial and functional targeting of intratumoral Tregs reverses CD8+ T cell exhaustion and promotes cancer immunotherapy. Journal of Clinical Investigation. 134(14). 18 indexed citations

Zhang, Qi, Ran Gao, Haipeng Yao, et al.. (2024). A Flexible Multi-Rate Adaptive Blind Equalization Scheme Based on Constellation Probability Shaping in Coherent Optical Fiber Communication Systems. Journal of Lightwave Technology. 43(7). 3078–3089. 1 indexed citations

Ji, Jiang, et al.. (2024). Prognostic value of albumin-based indices for mortality after heart failure: a systematic review and meta-analysis. BMC Cardiovascular Disorders. 24(1). 570–570.

Gnanaprakasam, JN Rashida, Bhavana Kushwaha, Lingling Liu, et al.. (2023). Asparagine restriction enhances CD8+ T cell metabolic fitness and antitumoral functionality through an NRF2-dependent stress response. Nature Metabolism. 5(8). 1423–1439. 58 indexed citations

10.

Allen, Carter, Dionisia Quiroga, Emily Schwarz, et al.. (2023). Single-Cell RNA-Seq Analysis of Patient Myeloid-Derived Suppressor Cells and the Response to Inhibition of Bruton's Tyrosine Kinase. Molecular Cancer Research. 22(3). 308–321. 4 indexed citations

11.

Talebian, Fatemeh, Yang Li, Jianmin Zhu, et al.. (2023). CD200R signaling contributes to unfavorable tumor microenvironment through regulating production of chemokines by tumor-associated myeloid cells. iScience. 26(6). 106904–106904. 5 indexed citations

12.

Zhu, Jianmin, Jianyu Yu, Aiyan Hu, et al.. (2023). IL-27 Gene Therapy Induces Stat3-Mediated Expansion of CD11b+Gr1+ Myeloid Cells and Promotes Accumulation of M1 Macrophages in the Tumor Microenvironment. The Journal of Immunology. 211(5). 895–902. 4 indexed citations

13.

Gloag, Erin S., Jianying Li, Daniela Farkas, et al.. (2022). Mice infected with Mycobacterium tuberculosis are resistant to acute disease caused by secondary infection with SARS-CoV-2. PLoS Pathogens. 18(3). e1010093–e1010093. 29 indexed citations

14.

Zhao, Bao, Anjun Ma, Jianwen Chen, et al.. (2022). SUSD2 suppresses CD8+ T cell antitumor immunity by targeting IL-2 receptor signaling. Nature Immunology. 23(11). 1588–1599. 18 indexed citations

15.

Chen, Xuyong, Meng Wang, Siwen Kang, et al.. (2022). Succinate dehydrogenase/complex II is critical for metabolic and epigenetic regulation of T cell proliferation and inflammation. Science Immunology. 7(70). eabm8161–eabm8161. 50 indexed citations

16.

Ma, Anjun, Gang Xin, & Qin Ma. (2022). The use of single-cell multi-omics in immuno-oncology. Nature Communications. 13(1). 2728–2728. 22 indexed citations

17.

Xin, Gang, Chen Yao, Paytsar Topchyan, et al.. (2021). Targeting PIM1-Mediated Metabolism in Myeloid Suppressor Cells to Treat Cancer. Cancer Immunology Research. 9(4). 454–469. 38 indexed citations

18.

Volberding, Peter J., Gang Xin, Moujtaba Y. Kasmani, et al.. (2021). Suppressive neutrophils require PIM1 for metabolic fitness and survival during chronic viral infection. Cell Reports. 35(8). 109160–109160. 17 indexed citations

19.

Jondle, C. N., K. E. Johnson, P. A. Sylvester, et al.. (2021). Gammaherpesvirus Usurps Host IL-17 Signaling To Support the Establishment of Chronic Infection. mBio. 12(2). 14 indexed citations

20.

Xin, Gang, Achia Khatun, Paytsar Topchyan, et al.. (2019). Pathogen-Boosted Adoptive Cell Transfer Therapy Induces Endogenous Antitumor Immunity through Antigen Spreading. Cancer Immunology Research. 8(1). 7–18. 16 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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