Ying Li

6.4k total citations · 1 hit paper
187 papers, 4.2k citations indexed

About

Ying Li is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ying Li has authored 187 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 56 papers in Immunology and 37 papers in Oncology. Recurrent topics in Ying Li's work include Immune Cell Function and Interaction (23 papers), RNA modifications and cancer (20 papers) and Cancer-related gene regulation (20 papers). Ying Li is often cited by papers focused on Immune Cell Function and Interaction (23 papers), RNA modifications and cancer (20 papers) and Cancer-related gene regulation (20 papers). Ying Li collaborates with scholars based in China, United States and Singapore. Ying Li's co-authors include Henry Yang, Aiping Mao, Hong‐Bing Shu, Yong Ran, Shu Li, Pang‐Hung Hsu, Sujun Chen, Housheng Hansen He, Eliezer M. Van Allen and Thao H. Nguyen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ying Li

173 papers receiving 4.2k citations

Hit Papers

LSD1 Ablation Stimulates Anti-tumor Immunity and Enables ... 2018 2026 2020 2023 2018 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
Ying Li China 36 2.2k 1.1k 882 733 406 187 4.2k
Sarah Ellis Australia 34 2.3k 1.0× 954 0.8× 676 0.8× 438 0.6× 266 0.7× 80 4.6k
W. Tony Parks United States 42 2.6k 1.2× 864 0.8× 871 1.0× 727 1.0× 589 1.5× 98 5.8k
José L. Pablos Spain 43 1.2k 0.5× 1.9k 1.7× 998 1.1× 420 0.6× 309 0.8× 138 5.0k
Gianluca Fossati Italy 32 2.5k 1.1× 1.6k 1.4× 656 0.7× 295 0.4× 523 1.3× 101 4.8k
Philippe A. Tessier Canada 38 2.6k 1.2× 2.5k 2.2× 438 0.5× 524 0.7× 517 1.3× 71 4.9k
Sergei B. Koralov United States 36 2.6k 1.2× 2.0k 1.8× 747 0.8× 792 1.1× 620 1.5× 82 5.4k
Quan‐Zhen Li United States 38 1.6k 0.7× 2.9k 2.6× 537 0.6× 304 0.4× 398 1.0× 153 5.4k
Ruaidhrí Jackson United States 20 1.8k 0.8× 1.7k 1.5× 435 0.5× 276 0.4× 304 0.7× 26 3.3k
Srinivas Mummidi United States 34 1.2k 0.5× 1.7k 1.5× 634 0.7× 308 0.4× 439 1.1× 75 3.8k
Daniela Bosisio Italy 37 1.4k 0.6× 3.3k 2.9× 840 1.0× 689 0.9× 536 1.3× 74 5.2k

Countries citing papers authored by Ying Li

Since Specialization
Citations

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

Fields of papers citing papers by Ying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Li. A scholar is included among the top collaborators of Ying Li 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 Ying Li. Ying Li 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.
Li, Fang, Xin Liu, Ning Bai, et al.. (2025). Irisin attenuates liver fibrosis by regulating energy metabolism and HMGB1/β-catenin signaling in hepatic stellate cells. European Journal of Pharmacology. 998. 177519–177519. 1 indexed citations
2.
Li, Ying, Fei Liu, Chunyan Lu, et al.. (2025). Structural and functional insights into NAC transcription factors in tomato stress responses and development. SHILAP Revista de lepidopterología.
3.
Chen, Chen, Fang Wang, Ying Li, Wei Zhang, & Faming Zhu. (2025). Characterisation of the Novel HLADQA1*05:06:02 Allele by Next‐Generation Sequencing. HLA. 106(2). e70368–e70368. 1 indexed citations
4.
Ding, Ling‐Wen, Jia Li, Benedict Yan, et al.. (2024). A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy. Clinical Cancer Research. 30(10). 2170–2180. 1 indexed citations
5.
Zhao, Wenzhen, et al.. (2024). Long non‑coding RNAs as diagnostic and prognostic biomarkers for colorectal cancer (Review). Oncology Letters. 28(4). 486–486. 3 indexed citations
6.
Li, Ying, et al.. (2024). The novel HLA‐DPA1*02:86 allele was identified by next‐generation sequencing. HLA. 103(5). e15504–e15504. 1 indexed citations
7.
Li, Chaofan, Wei Qian, Xiaoqin Wei, et al.. (2024). Comparative single-cell analysis reveals IFN-γ as a driver of respiratory sequelae after acute COVID-19. Science Translational Medicine. 16(756). eadn0136–eadn0136. 17 indexed citations
8.
Huang, Mingfeng, Yaohui He, Wenjuan Zhang, et al.. (2024). CARM1 hypermethylates the NuRD chromatin remodeling complex to promote cell cycle gene expression and breast cancer development. Nucleic Acids Research. 52(12). 6811–6829. 2 indexed citations
9.
Wang, Fang, et al.. (2023). Description of two new HLA‐C alleles, HLA‐C*15:245 and HLA‐C*15:246, identified in Chinese individuals. HLA. 102(3). 373–375. 2 indexed citations
11.
Li, Ying, Xiao‐Ou Zhang, Yan Liu, & Aiping Lu. (2023). Allele-specific binding (ASB) analyzer for annotation of allele-specific binding SNPs. BMC Bioinformatics. 24(1). 464–464. 1 indexed citations
12.
Ding, Ling‐Wen, Henry Yang, Jonathan W. Said, et al.. (2023). Targeting RNA Exonuclease XRN1 Potentiates Efficacy of Cancer Immunotherapy. Cancer Research. 83(6). 922–938. 12 indexed citations
13.
Li, Ying, Xiaohua Tan, Qinghua Cui, et al.. (2023). Parthenolide inhibits proliferation of cells infected with Kaposi’s sarcoma-associated herpesvirus by suppression of the NF-κB signaling pathway. Archives of Virology. 168(2). 39–39. 3 indexed citations
14.
Li, Ying, et al.. (2022). Long noncoding RNA MALAT1 inhibition attenuates sepsis‐induced acute lung injury through modulating the miR‐129‐5p/PAX6/ZEB2 axis. Microbiology and Immunology. 67(3). 142–153. 7 indexed citations
15.
Loeuillard, Emilien, Jingchun Yang, EeeLN H. Buckarma, et al.. (2020). Targeting tumor-associated macrophages and granulocytic myeloid-derived suppressor cells augments PD-1 blockade in cholangiocarcinoma. Journal of Clinical Investigation. 130(10). 5380–5396. 232 indexed citations
16.
Arya, Richa, et al.. (2019). A Cut/cohesin axis alters the chromatin landscape to facilitate neuroblast death. Development. 146(9). 2 indexed citations
18.
X, Li, Shaohua Wang, Ying Li, et al.. (2011). Chromatin boundaries require functional collaboration between the hSET1 and NURF complexes. Blood. 118(5). 1386–1394. 30 indexed citations
19.
Xia, Xiaofeng, Jian Yang, Fuhai Li, et al.. (2010). Image-Based Chemical Screening Identifies Drug Efflux Inhibitors in Lung Cancer Cells. Cancer Research. 70(19). 7723–7733. 25 indexed citations
20.
Wang, Yan‐Yi, Lijuan Liu, Bo Zhong, et al.. (2009). WDR5 is essential for assembly of the VISA-associated signaling complex and virus-triggered IRF3 and NF-κB activation. Proceedings of the National Academy of Sciences. 107(2). 815–820. 81 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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