Daishi Li

7 papers and 202 indexed citations i.

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 7 papers receiving a total of 202 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 Tissue Engineering and Regenerative Medicine (1 paper). Daishi Li is often cited by papers focused on Ferroptosis and cancer prognosis (5 papers), Cancer, Lipids, and Metabolism (2 papers) and Tissue Engineering and Regenerative Medicine (1 paper). Daishi Li collaborates with scholars based in China. Daishi Li's co-authors include Furong Zeng, Guangtong Deng, Xiang Chen, Yu Meng, Lei Yao, Yuming Sun, Qian Zhou, Miao He, Yusheng Li and Zijun Cai 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

Co-authorship network of co-authors of Daishi Li i

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.

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).

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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2025