Ling Shen

4.8k total citations
113 papers, 3.1k citations indexed

About

Ling Shen is a scholar working on Immunology, Infectious Diseases and Virology. According to data from OpenAlex, Ling Shen has authored 113 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Immunology, 24 papers in Infectious Diseases and 24 papers in Virology. Recurrent topics in Ling Shen's work include Immune Cell Function and Interaction (26 papers), HIV Research and Treatment (23 papers) and Tuberculosis Research and Epidemiology (20 papers). Ling Shen is often cited by papers focused on Immune Cell Function and Interaction (26 papers), HIV Research and Treatment (23 papers) and Tuberculosis Research and Epidemiology (20 papers). Ling Shen collaborates with scholars based in China, United States and Germany. Ling Shen's co-authors include Zheng W. Chen, Norman L. Letvin, Yun Shen, Dan Huang, Crystal Y. Chen, Richard Wang, Liyou Qiu, Gucheng Zeng, Prabhat K. Sehgal and William R. Jacobs and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Ling Shen

103 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ling Shen 1.5k 779 664 656 420 113 3.1k
Béhazine Combadière 2.1k 1.4× 304 0.4× 451 0.7× 1.0k 1.6× 321 0.8× 72 4.2k
Xiao‐Fang Yu 586 0.4× 1.2k 1.5× 779 1.2× 1.2k 1.8× 1.0k 2.5× 87 3.0k
Qiming Liang 925 0.6× 711 0.9× 755 1.1× 1.2k 1.9× 92 0.2× 47 2.9k
Dinesh Kumar Singh 416 0.3× 380 0.5× 372 0.6× 1.1k 1.6× 433 1.0× 101 3.1k
Yunkai Yu 904 0.6× 1.2k 1.6× 890 1.3× 1.8k 2.7× 2.0k 4.7× 85 4.5k
Eleonora Simeoni 1.2k 0.8× 251 0.3× 283 0.4× 1.1k 1.7× 150 0.4× 32 2.6k
Houping Ni 1.6k 1.1× 709 0.9× 387 0.6× 2.7k 4.1× 277 0.7× 39 4.4k
Ling Ye 921 0.6× 300 0.4× 544 0.8× 2.1k 3.2× 154 0.4× 133 5.6k
Kai Hu 701 0.5× 555 0.7× 398 0.6× 1.1k 1.7× 98 0.2× 73 2.7k
Kaili Wu 345 0.2× 361 0.5× 424 0.6× 683 1.0× 115 0.3× 151 3.4k

Countries citing papers authored by Ling Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shen

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

All Works

20 of 20 papers shown
1.
Shen, Ling, Yongkang Li, Weidong Zhang, et al.. (2025). Machine learning-assisted design of strong and ductile BCC high-entropy alloys. Materials Research Letters. 13(12). 1260–1268. 1 indexed citations
2.
Wang, Jiajun, Xiaoying Jin, Jiali Cai, et al.. (2025). Advancing roles of nitric oxide in tuberculosis: Promising targets for novel anti-TB therapeutics. Microbiological Research. 300. 128292–128292.
3.
Wang, Dan, et al.. (2025). Novel and emerging physical treatments for major depressive disorder. Fundamental Research. 5(6). 2442–2452.
4.
Geng, Wei, Xuan Wu, Liying Wang, et al.. (2025). Custom-Tailored Nanofunctionalized Cells by Phase-Separated Lysozyme. CCS Chemistry. 8(2). 1055–1069.
5.
Li, Wentao, et al.. (2024). Thermal management performance study of PV adsorptive evaporative cooling based on noncorrosive salt-embedded composites. Renewable Energy. 237. 121805–121805. 6 indexed citations
6.
Pi, Jiang, Dongsheng Chen, Jiajun Wang, et al.. (2024). Macrophage targeted graphene oxide nanosystem synergize antibiotic killing and host immune defense for Tuberculosis Therapy. Pharmacological Research. 208. 107379–107379. 14 indexed citations
7.
Fan, Shuhao, Jiajun Wang, Dongsheng Chen, et al.. (2024). Photothermal and host immune activated therapy of cutaneous tuberculosis using macrophage targeted mesoporous polydopamine nanoparticles. Materials Today Bio. 28. 101232–101232. 9 indexed citations
8.
9.
Zhao, Sihan, et al.. (2023). Non-invasive study of the dyes and pigments in the Chinese woodblock New Year paintings. Journal of Archaeological Science Reports. 49. 104061–104061.
10.
Yu, Xiaoyu, Ying Bai, Bing Han, et al.. (2022). Extracellular vesicle‐mediated delivery of circDYM alleviates CUS‐induced depressive‐like behaviours. Journal of Extracellular Vesicles. 11(1). e12185–e12185. 113 indexed citations
11.
Zhang, Yuan, Longfei Du, Ying Bai, et al.. (2018). CircDYM ameliorates depressive-like behavior by targeting miR-9 to regulate microglial activation via HSP90 ubiquitination. Molecular Psychiatry. 25(6). 1175–1190. 138 indexed citations
12.
Qaqish, Arwa, Dan Huang, Crystal Y. Chen, et al.. (2017). Adoptive Transfer of Phosphoantigen-Specific γδ T Cell Subset Attenuates Mycobacterium tuberculosis Infection in Nonhuman Primates. The Journal of Immunology. 198(12). 4753–4763. 59 indexed citations
13.
Chang, Ying, Bin Li, Xiaolin Xu, et al.. (2016). Lentivirus-Mediated Knockdown of Astrocyte Elevated Gene-1 Inhibits Growth and Induces Apoptosis through MAPK Pathways in Human Retinoblastoma Cells. PLoS ONE. 11(2). e0148763–e0148763. 23 indexed citations
14.
Bai, Shanshan, Ruojin Ren, Jian Shi, et al.. (2010). Retinoblastoma in the Beijing Tongren Hospital from 1957 to 2006: clinicopathological findings. British Journal of Ophthalmology. 95(8). 1072–1076. 9 indexed citations
15.
Shao, Lingyun, Dan Huang, Huiyong Wei, et al.. (2009). Expansion, Reexpansion, and Recall-Like Expansion of Vγ2Vδ2 T Cells in Smallpox Vaccination and Monkeypox Virus Infection. Journal of Virology. 83(22). 11959–11965. 28 indexed citations
16.
Wang, Richard, Crystal Y. Chen, Zhongdao Wu, et al.. (2009). Tuberculosis-Induced Variant IL-4 mRNA Encodes a Cytokine Functioning As Growth Factor for ( E )-4-Hydroxy-3-Methyl-But-2-Enyl Pyrophosphate-Specific Vγ2Vδ2 T Cells. The Journal of Immunology. 182(2). 811–819. 13 indexed citations
17.
18.
Shen, Yun, D. J. Zhou, Liyou Qiu, et al.. (2002). Adaptive Immune Response of Vγ2Vδ2 + T Cells During Mycobacterial Infections. Science. 295(5563). 2255–2258. 310 indexed citations
19.
Chen, Zheng W., Xuejun Zeng, Marcelo J. Kuroda, et al.. (2001). The TCR Repertoire of an Immunodominant CD8+ T Lymphocyte Population. The Journal of Immunology. 166(7). 4525–4533. 43 indexed citations
20.
Chen, Zheng W., Abie Craiu, Ling Shen, et al.. (2000). Simian Immunodeficiency Virus Evades a Dominant Epitope-Specific Cytotoxic T Lymphocyte Response Through a Mutation Resulting in the Accelerated Dissociation of Viral Peptide and MHC Class I. The Journal of Immunology. 164(12). 6474–6479. 60 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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