Mei Jin

48 papers and 3.4k indexed citations i.

About

Mei Jin is a scholar working on Molecular Biology, Materials Chemistry and Oncology. According to data from OpenAlex, Mei Jin has authored 48 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Materials Chemistry and 9 papers in Oncology. Recurrent topics in Mei Jin’s work include Neuroblastoma Research and Treatments (8 papers), Graphene research and applications (6 papers) and Urinary Bladder and Prostate Research (5 papers). Mei Jin is often cited by papers focused on Neuroblastoma Research and Treatments (8 papers), Graphene research and applications (6 papers) and Urinary Bladder and Prostate Research (5 papers). Mei Jin collaborates with scholars based in South Korea, China and United States. Mei Jin's co-authors include Hae‐Kyung Jeong, Young Hee Lee, Seon‐Mi Yoon, Anass Benayad, Jae‐Young Choi, Ki Kang Kim, Hyeon Ki Park, Hyeon‐Jin Shin, In‐Sun Jung and Jong Min Kim and has published in prestigious journals such as Advanced Functional Materials, Cancer Research and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Mei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Jin

Since Specialization
Citations

This map shows the geographic impact of Mei 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 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 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025