Mei Yin

About

Mei Yin is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Mei Yin has authored 13 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Mei Yin’s work include Sepsis Diagnosis and Treatment (4 papers), Advanced Glycation End Products research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mei Yin is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Advanced Glycation End Products research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mei Yin collaborates with scholars based in China and United States. Mei Yin's co-authors include Haiqing Gao, Baoying Li, Hao Wang, Fei Yu, Weidong Qin, Xiaomei Chen, Qian Cai, Chen Li, Dawei Wu and Fan Zhang and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry C and Hypertension.

In The Last Decade

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

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Fields of papers citing papers by Mei Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Yin

Since Specialization

Citations

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