Mei‐Na Jin

32 papers and 657 indexed citations i.

About

Mei‐Na Jin is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mei‐Na Jin has authored 32 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mei‐Na Jin’s work include Metabolism, Diabetes, and Cancer (6 papers), Natural Antidiabetic Agents Studies (5 papers) and Advancements in Transdermal Drug Delivery (4 papers). Mei‐Na Jin is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Natural Antidiabetic Agents Studies (5 papers) and Advancements in Transdermal Drug Delivery (4 papers). Mei‐Na Jin collaborates with scholars based in China, Japan and United States. Mei‐Na Jin's co-authors include Hong‐Quan Duan, Fumio Kamiyama, Hidemasa Katsumi, Ying-Shu Quan, Akira Yamamoto, Toshiyasu Sakane, Shu Liu, Nan Qin, Wenyan Niu and Wei Qiao and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Controlled Release and The Journal of Organic Chemistry.

In The Last Decade

Co-authorship network of co-authors of Mei‐Na Jin i

Fields of papers citing papers by Mei‐Na Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Na Jin. 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 Mei‐Na Jin. The network helps show where Mei‐Na Jin may publish in the future.

Countries citing papers authored by Mei‐Na Jin

Since Specialization
Citations

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