Mei Han

About

Mei Han is a scholar working on Molecular Biology, Materials Chemistry and Epidemiology. According to data from OpenAlex, Mei Han has authored 19 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Materials Chemistry and 4 papers in Epidemiology. Recurrent topics in Mei Han’s work include Carbon and Quantum Dots Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunotherapy and Immune Responses (3 papers). Mei Han is often cited by papers focused on Carbon and Quantum Dots Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunotherapy and Immune Responses (3 papers). Mei Han collaborates with scholars based in China, Japan and Taiwan. Mei Han's co-authors include Guoqiang Hou, Wenjun Cao, Ziwei Fang, Shinobu Watarai, Kazuko Kobayashi, Tatsuji Yasuda, Hiroshi Kodama, Tana Tana, Yan Shi and Ming Luo and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Stem Cells.

In The Last Decade

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

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Fields of papers citing papers by Mei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Han

Since Specialization

Citations

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