Kun Lin

About

Kun Lin is a scholar working on Ecology, Global and Planetary Change and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kun Lin has authored 20 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 4 papers in Global and Planetary Change and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kun Lin’s work include Coral and Marine Ecosystems Studies (5 papers), Marine and fisheries research (4 papers) and Diabetes Management and Research (4 papers). Kun Lin is often cited by papers focused on Coral and Marine Ecosystems Studies (5 papers), Marine and fisheries research (4 papers) and Diabetes Management and Research (4 papers). Kun Lin collaborates with scholars based in China, Australia and Taiwan. Kun Lin's co-authors include W. Michael Flanagan, Robert A. Mook, R. Wayne Hendren, Richard W. Wagner, John G. Lewis, Mark D. Matteucci, Zhihua Huang, Shaoda Lin, Chun Hei Antonio Cheung and Yung-Chieh Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, British Journal of Pharmacology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Kun Lin i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Kun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Lin

Since Specialization

Citations

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

Explore authors with similar magnitude of impact