Shiting Li

1.1k total citations · 1 hit paper
35 papers, 708 citations indexed

About

Shiting Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shiting Li has authored 35 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Shiting Li's work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers) and Epigenetics and DNA Methylation (3 papers). Shiting Li is often cited by papers focused on RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers) and Epigenetics and DNA Methylation (3 papers). Shiting Li collaborates with scholars based in China, United States and Switzerland. Shiting Li's co-authors include Huafeng Zhang, Ping Gao, Weidong Jia, Yongping Cai, Linchong Sun, Shengqi Shen, Caixia Suo, Yijie Hao, Fei Gao and Jian Hai and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Shiting Li

32 papers receiving 702 citations

Hit Papers

Mitochondria-localized cGAS suppresses ferroptosis to pro... 2023 2026 2024 2025 2023 25 50 75 100
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.

  1. Mitochondria-localized cGAS suppresses ferroptosis to promote cancer progression
    2023 114 citations Xiang Meng, Shiting Li et al. Cell Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiting Li China 13 424 223 166 106 68 35 708
Miaojing Wu China 17 444 1.0× 268 1.2× 76 0.5× 47 0.4× 41 0.6× 39 702
Zengliang Wang China 14 232 0.5× 174 0.8× 88 0.5× 84 0.8× 34 0.5× 45 550
Yan Meng China 12 210 0.5× 90 0.4× 130 0.8× 84 0.8× 101 1.5× 27 521
Marianna Trani Switzerland 8 527 1.2× 132 0.6× 76 0.5× 44 0.4× 112 1.6× 8 913
Changying Li China 21 451 1.1× 333 1.5× 150 0.9× 79 0.7× 86 1.3× 44 925
Chih-I Lee Taiwan 14 575 1.4× 176 0.8× 92 0.6× 61 0.6× 178 2.6× 20 1.0k
Qiancheng Song China 16 685 1.6× 395 1.8× 102 0.6× 94 0.9× 122 1.8× 27 997
Junjie Sun China 13 558 1.3× 387 1.7× 187 1.1× 29 0.3× 68 1.0× 27 753

Countries citing papers authored by Shiting Li

Since Specialization
Citations

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

Fields of papers citing papers by Shiting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shiting Li. A scholar is included among the top collaborators of Shiting 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 Shiting Li. Shiting 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, Shiting, et al.. (2025). Advancements in superhydrophobic foam materials for efficient oil-water separation: Modification techniques and future applications. Journal of Water Process Engineering. 70. 107008–107008. 2 indexed citations
2.
Li, Weiwei, et al.. (2025). The preparation of hamburger-shaped ZnO decorated UHMWPE fibers and the applications in photocatalytic and mechanical properties. Materials Today Communications. 45. 112241–112241. 2 indexed citations
3.
Li, Shiting, Tingting Qin, Elizabeth Lopez, et al.. (2025). Tumor subtype classification tool for HPV-associated head and neck cancers. Oral Oncology. 170. 107726–107726.
4.
Qin, Tingting, Austin K. Mattox, Jean S. Campbell, et al.. (2025). Epigenetic therapy sensitizes anti–PD-1 refractory head and neck cancers to immunotherapy rechallenge. Journal of Clinical Investigation. 135(6). 5 indexed citations
5.
Ye, Ling, Shengqi Shen, Hui Lü, et al.. (2025). Nuclear-localized HKDC1 promotes hepatocellular carcinoma through phosphorylating RBBP5 to upregulate H3K4me3. Cell Reports. 44(2). 115250–115250. 1 indexed citations
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Chen, Junhua, Shiting Li, Xuan Wang, et al.. (2023). Robust UV-curable anti-smudge electrodeposition coating for self-cleaning, anti-graffiti and corrosion protection. Progress in Organic Coatings. 179. 107526–107526. 12 indexed citations
9.
Liu, Huixin, et al.. (2023). The applications of flower-shaped ZnO-UHMWPE fibers in photocatalysis and composites. Journal of Industrial and Engineering Chemistry. 125. 95–104. 8 indexed citations
10.
Gao, Peng, Haopeng Wang, Lei Shu, et al.. (2023). miR-21-5p Inhibits the Proliferation, Migration, and Invasion of Glioma by Targeting S100A10. Journal of Cancer. 14(10). 1781–1793. 12 indexed citations
11.
Qin, Tingting, Shiting Li, Raymond G. Cavalcante, et al.. (2023). Whole-genome CpG-resolution DNA Methylation Profiling of HNSCC Reveals Distinct Mechanisms of Carcinogenesis for Fine-scale HPV+ Cancer Subtypes. Cancer Research Communications. 3(8). 1701–1715. 3 indexed citations
12.
Li, Shiting, et al.. (2023). PGAM5 deacetylation mediated by SIRT2 facilitates lipid metabolism and liver cancer proliferation. Acta Biochimica et Biophysica Sinica. 55(9). 1370–1379. 15 indexed citations
13.
Meng, Xiang, Shiting Li, Xiaoyu Qian, et al.. (2023). Mitochondria-localized cGAS suppresses ferroptosis to promote cancer progression. Cell Research. 33(4). 299–311. 114 indexed citations breakdown →
14.
Liu, Zhaoji, Linchong Sun, Yongping Cai, et al.. (2021). Hypoxia-Induced Suppression of Alternative Splicing of MBD2 Promotes Breast Cancer Metastasis via Activation of FZD1. Cancer Research. 81(5). 1265–1278. 42 indexed citations
15.
Wu, Gongwei, Caixia Suo, Ying Yang, et al.. (2021). MYC promotes cancer progression by modulating m 6 A modifications to suppress target gene translation. EMBO Reports. 22(3). e51519–e51519. 33 indexed citations
16.
Li, Shiting, Meirong Su, Chao Xu, & Qianyuan Huang. (2021). How to obtain industrial waste data at the county scale: Two downscaling models and their application in Dongguan, China. Journal of Environmental Management. 305. 114376–114376. 3 indexed citations
17.
Xing, Songge, Zhaoyong Li, Wenhao Ma, et al.. (2019). DIS3L2 Promotes Progression of Hepatocellular Carcinoma via hnRNP U-Mediated Alternative Splicing. Cancer Research. 79(19). 4923–4936. 38 indexed citations
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Tang, Yinda, et al.. (2012). Benefits of dedifferentiated stem cells for neural regeneration. 2(3). 108–121. 2 indexed citations
20.
Hai, Jian, et al.. (2003). Vascular Endothelial Growth Factor Expression and Angiogenesis Induced by Chronic Cerebral Hypoperfusion in Rat Brain. Neurosurgery. 53(4). 963–972. 69 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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