Longli Kang

36 papers and 330 indexed citations i.

About

Longli Kang is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Longli Kang has authored 36 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmacology, 14 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Longli Kang’s work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (11 papers) and Gout, Hyperuricemia, Uric Acid (5 papers). Longli Kang is often cited by papers focused on Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (11 papers) and Gout, Hyperuricemia, Uric Acid (5 papers). Longli Kang collaborates with scholars based in China and United States. Longli Kang's co-authors include Tingting Geng, Dongya Yuan, Tianbo Jin, Tianbo Jin, Na He, Tianbo Jin, Feng Tian, Qunying Hu, Tianbo Jin and Feng Tian and has published in prestigious journals such as Gene, Medicine and Tetrahedron Letters.

In The Last Decade

Co-authorship network of co-authors of Longli Kang i

Fields of papers citing papers by Longli Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Longli Kang

Since Specialization
Citations

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