Daishi Li

831 total citations · 3 hit papers
8 papers, 443 citations indexed

About

Daishi Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Daishi Li has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Daishi Li's work include Ferroptosis and cancer prognosis (5 papers), Cancer, Lipids, and Metabolism (2 papers) and interferon and immune responses (1 paper). Daishi Li is often cited by papers focused on Ferroptosis and cancer prognosis (5 papers), Cancer, Lipids, and Metabolism (2 papers) and interferon and immune responses (1 paper). Daishi Li collaborates with scholars based in China, Canada and United States. Daishi Li's co-authors include Furong Zeng, Guangtong Deng, Yuming Sun, Xiang Chen, Jiayuan Le, Lei Yao, Qian Zhou, Yu Meng, Miao He and Yusheng Li and has published in prestigious journals such as Signal Transduction and Targeted Therapy, Journal for ImmunoTherapy of Cancer and Diabetes & Metabolic Syndrome Clinical Research & Reviews.

In The Last Decade

Daishi Li

8 papers receiving 442 citations

Hit Papers

Ferroptosis in cancer: from molecular mechanisms to thera... 2024 2026 2025 2024 2025 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daishi Li China 6 267 252 159 45 34 8 443
Jiayuan Le China 6 253 0.9× 267 1.1× 174 1.1× 53 1.2× 26 0.8× 9 430
Noah J. Steinberg United States 2 236 0.9× 246 1.0× 149 0.9× 33 0.7× 20 0.6× 4 355
Jianzheng Zhu China 3 222 0.8× 197 0.8× 157 1.0× 74 1.6× 20 0.6× 6 376
Shiao Tong China 10 186 0.7× 136 0.5× 134 0.8× 75 1.7× 34 1.0× 28 361
Kamil J. Synoradzki Poland 7 260 1.0× 117 0.5× 149 0.9× 109 2.4× 39 1.1× 10 449
Dingshan Li China 3 417 1.6× 381 1.5× 366 2.3× 50 1.1× 35 1.0× 7 605
Jia‐Lu Shan China 3 280 1.0× 289 1.1× 227 1.4× 52 1.2× 17 0.5× 4 414
Sandra Lettlová Czechia 9 328 1.2× 92 0.4× 178 1.1× 28 0.6× 40 1.2× 11 487
Yixiao Xiong China 12 233 0.9× 112 0.4× 144 0.9× 62 1.4× 12 0.4× 20 405

Countries citing papers authored by Daishi Li

Since Specialization
Citations

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

Fields of papers citing papers by Daishi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daishi Li

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

All Works

8 of 8 papers shown
1.
Guo, Ziyu, Yuming Sun, Daishi Li, et al.. (2025). Targeting regulated cell death: Apoptosis, necroptosis, pyroptosis, ferroptosis, and cuproptosis in anticancer immunity. Journal of Translational Internal Medicine. 13(1). 10–32. 17 indexed citations breakdown →
2.
Guo, Ziyu, Lei Yao, Yuming Sun, et al.. (2025). The molecular mechanism and therapeutic landscape of copper and cuproptosis in cancer. Signal Transduction and Targeted Therapy. 10(1). 149–149. 26 indexed citations breakdown →
3.
Sun, Yuming, Qian Zhou, Yating Dian, et al.. (2025). Evaluating the causal effect of using glucagon-like peptide-1 receptor agonists on the risk of autoimmune diseases. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 19(1). 103186–103186. 4 indexed citations
4.
Zhou, Qian, Yu Meng, Daishi Li, et al.. (2024). Ferroptosis in cancer: from molecular mechanisms to therapeutic strategies. Signal Transduction and Targeted Therapy. 9(1). 55–55. 332 indexed citations breakdown →
5.
Li, Daishi, Xiaozhen Chen, Guangtong Deng, et al.. (2024). Single‐cell RNA sequencing highlights the role of proinflammatory fibroblasts, vascular endothelial cells, and immune cells in the keloid immune microenvironment. International Journal of Dermatology. 64(5). 890–900. 1 indexed citations
6.
Le, Jiayuan, Yu Meng, Ying Wang, et al.. (2024). Molecular and therapeutic landscape of ferroptosis in skin diseases. Chinese Medical Journal. 137(15). 1777–1789. 8 indexed citations
7.
Zhou, Qian, Yating Dian, Yi He, et al.. (2024). Propafenone facilitates mitochondrial-associated ferroptosis and synergizes with immunotherapy in melanoma. Journal for ImmunoTherapy of Cancer. 12(11). e009805–e009805. 6 indexed citations
8.
Yu, Dengjie, Zijun Cai, Daishi Li, et al.. (2021). Myogenic Differentiation of Stem Cells for Skeletal Muscle Regeneration. Stem Cells International. 2021. 1–10. 49 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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