LI Lian-da

38 papers and 416 indexed citations i.

About

LI Lian-da is a scholar working on Complementary and alternative medicine, Pharmacology and Molecular Biology. According to data from OpenAlex, LI Lian-da has authored 38 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Complementary and alternative medicine, 8 papers in Pharmacology and 6 papers in Molecular Biology. Recurrent topics in LI Lian-da’s work include Traditional Chinese Medicine Analysis (12 papers), Traditional Chinese Medicine Studies (7 papers) and Nephrotoxicity and Medicinal Plants (5 papers). LI Lian-da is often cited by papers focused on Traditional Chinese Medicine Analysis (12 papers), Traditional Chinese Medicine Studies (7 papers) and Nephrotoxicity and Medicinal Plants (5 papers). LI Lian-da collaborates with scholars based in China and United Kingdom. LI Lian-da's co-authors include Limao Wu, Xuezhi Hong, Xiaoyan Wang, Dan‐Qiao Wang, Xiangming Wang, Chang-Ling Duan, Yujuan Li, Zhixin Wu, Jinyan Zhang and Lina Ma and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Ethnopharmacology and Phytotherapy Research.

In The Last Decade

Co-authorship network of co-authors of LI Lian-da i

Fields of papers citing papers by LI Lian-da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LI Lian-da. 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 LI Lian-da. The network helps show where LI Lian-da may publish in the future.

Countries citing papers authored by LI Lian-da

Since Specialization
Citations

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