Dai Li

75 papers and 1.8k indexed citations i.

About

Dai Li is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dai Li has authored 75 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 27 papers in Physiology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dai Li’s work include Pain Mechanisms and Treatments (23 papers), Cancer Treatment and Pharmacology (7 papers) and Neuropeptides and Animal Physiology (6 papers). Dai Li is often cited by papers focused on Pain Mechanisms and Treatments (23 papers), Cancer Treatment and Pharmacology (7 papers) and Neuropeptides and Animal Physiology (6 papers). Dai Li collaborates with scholars based in China, United States and Germany. Dai Li's co-authors include Wen‐Jun Xin, Xian‐Guo Liu, Zhenzhen Huang, Ting Xu, Li‐Jun Zhou, Yu Cui, Jia‐You Wei, Yong Liu, Shishuang Zhang and Yuan‐Jian Li and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Dai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai Li

Since Specialization
Citations

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