Jun Li

56.3k total citations · 1 hit paper
243 papers, 6.9k citations indexed

About

Jun Li is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Jun Li has authored 243 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 63 papers in Cancer Research and 35 papers in Pathology and Forensic Medicine. Recurrent topics in Jun Li's work include RNA modifications and cancer (45 papers), Cancer-related molecular mechanisms research (36 papers) and Epigenetics and DNA Methylation (18 papers). Jun Li is often cited by papers focused on RNA modifications and cancer (45 papers), Cancer-related molecular mechanisms research (36 papers) and Epigenetics and DNA Methylation (18 papers). Jun Li collaborates with scholars based in China, United States and United Kingdom. Jun Li's co-authors include Han Liang, Leng Han, Lingxiang Liu, Yuan Yuan, John N. Weinstein, Lixia Diao, Gordon B. Mills, Paul Roebuck, Cyriac Kandoth and Yang Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jun Li

225 papers receiving 6.8k 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.

Landscape of Somatic Retrotransposition in Human Cancers

2012 532 citations Jun Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Li China	43	4.6k	2.5k	804	727	556	243	6.9k
Zhengdong Zhang China	43	4.4k 1.0×	2.4k 1.0×	1.3k 1.6×	572 0.8×	714 1.3×	274	7.5k
Qi Zhao China	39	4.0k 0.9×	2.1k 0.9×	1.4k 1.8×	436 0.6×	894 1.6×	191	6.8k
Dong Wang China	49	6.8k 1.5×	3.6k 1.5×	642 0.8×	345 0.5×	376 0.7×	248	9.4k
Xiao‐Feng Sun Sweden	44	3.2k 0.7×	1.8k 0.7×	1.9k 2.4×	975 1.3×	472 0.8×	237	6.3k
Graham Ball United Kingdom	42	3.3k 0.7×	2.0k 0.8×	1.8k 2.3×	486 0.7×	506 0.9×	172	6.4k
Dan Li China	45	5.6k 1.2×	3.6k 1.4×	1.5k 1.9×	368 0.5×	837 1.5×	390	8.7k
Mo Chen China	41	4.9k 1.1×	1.6k 0.7×	958 1.2×	227 0.3×	503 0.9×	180	7.5k
P. Mickey Williams United States	26	3.8k 0.8×	1.7k 0.7×	1.4k 1.8×	460 0.6×	848 1.5×	86	7.0k
Raffaele Calogero Italy	47	5.5k 1.2×	2.2k 0.9×	1.2k 1.5×	314 0.4×	762 1.4×	183	8.3k

Countries citing papers authored by Jun Li

Since Specialization

Citations

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

Fields of papers citing papers by Jun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Ruiqian, Hongyi Wu, Fengming Ran, et al.. (2025). GDF15 activates the PI3K/AKT pathway to mediate macrophage M2 polarization to promote prostate cancer resistance to docetaxel. Molecular Immunology. 185. 27–38.

Yang, Yang, Jun Li, Xinjia Yang, et al.. (2025). Electromagnetic wave absorption properties and microstructural evolution of TiC-modified polymer-derived SiC ceramics. Ceramics International. 51(12). 15745–15755. 4 indexed citations

Li, Qian, et al.. (2025). Long-term river flow forecasting: An integrated deep learning model with multi-scale feature extraction. Expert Systems with Applications. 281. 127387–127387. 2 indexed citations

Moreno, Amy C., Faye M. Johnson, Xiaowen Sun, et al.. (2025). Stiefel MD Anderson OroPharynx cancer (MDA-OPC) cohort: a single-institution, prospective longitudinal outcomes study. BMJ Open. 15(11). e106845–e106845.

Lin, Tianxiang, Lu Liu, Jun Li, et al.. (2024). ChRIPK1 caused necroptosis signaling pathway deficiency in Crassostrea hongkongensis. Fish & Shellfish Immunology. 151. 109736–109736. 1 indexed citations

Dai, Guowei, et al.. (2024). Optimizing tomato detection and counting in smart greenhouses: A lightweight YOLOv8 model incorporating high- and low-frequency feature transformer structures. Network Computation in Neural Systems. 37(1). 61–97.

Sun, Qianqian, Jingming Chen, Jun Xu, et al.. (2024). Functionalising kapok fibre with lignin to enhance the structural and thermal performance of vacuum insulation panels. Industrial Crops and Products. 220. 119277–119277. 6 indexed citations

Yang, Chenying, Jun Li, Qiyi He, et al.. (2024). Proteomic Profiling of Venoms from Bungarus suzhenae and B. bungaroides: Enzymatic Activities and Toxicity Assessment. Toxins. 16(11). 494–494. 1 indexed citations

Li, Jun, Wei Liu, Kamalika Mojumdar, et al.. (2024). A protein expression atlas on tissue samples and cell lines from cancer patients provides insights into tumor heterogeneity and dependencies. Nature Cancer. 5(10). 1579–1595. 6 indexed citations

10.

Li, Jun, et al.. (2023). The anti-cancer drug candidate CBL0137 induced necroptosis via forming left-handed Z-DNA and its binding protein ZBP1 in liver cells. Toxicology and Applied Pharmacology. 482. 116765–116765. 12 indexed citations

11.

Sun, Qianqian, Jun Xu, Shiyun Zhu, et al.. (2023). Green and sustainable kapok fibre as novel core materials for vacuum insulations panels. Applied Energy. 347. 121394–121394. 20 indexed citations

12.

Li, Jun, et al.. (2023). Stereotactic frame-based electrode insertion: the accuracy of increasingly oblique insertion angles. Turkish Neurosurgery. 34(1). 128–134.

13.

Yan, Jie, Jiandong Ren, Jie Zhang, et al.. (2023). The Short and Long Term Consequences of Delayed Cord Clamping on Late Pre-Term Infants. International Journal of Women s Health. Volume 15. 361–368. 3 indexed citations

14.

Wang, Jianwen, et al.. (2023). Multicomponent Si–Zr-based lightweight nanofiber films with a hollow structure exhibiting excellent thermal insulation properties. Ceramics International. 50(2). 3471–3479. 2 indexed citations

15.

Fu, Dong‐Jun, Jun Li, & Bin Yu. (2021). Annual review of LSD1/KDM1A inhibitors in 2020. European Journal of Medicinal Chemistry. 214. 113254–113254. 27 indexed citations

16.

Chen, Hu, Jun Li, Yumeng Wang, et al.. (2020). Comprehensive assessment of computational algorithms in predicting cancer driver mutations. Genome biology. 21(1). 43–43. 39 indexed citations

17.

Zeng, Tianyu, Chunxiao Sun, Yuchen Zhang, et al.. (2020). Relationship between tRNA‐derived fragments and human cancers. International Journal of Cancer. 147(11). 3007–3018. 44 indexed citations

18.

Shen, Xiaomeng, Shichen Shen, Jun Li, et al.. (2018). IonStar enables high-precision, low-missing-data proteomics quantification in large biological cohorts. Proceedings of the National Academy of Sciences. 115(21). E4767–E4776. 62 indexed citations

19.

Li, Jun, Rehan Akbani, Wei Zhao, et al.. (2017). Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas. Cancer Research. 77(21). e51–e54. 83 indexed citations

20.

Li, Jun, Leng Han, Paul Roebuck, et al.. (2015). TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer. Cancer Research. 75(18). 3728–3737. 407 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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