Min Ling

17 papers and 450 indexed citations i.

About

Min Ling is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Min Ling has authored 17 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Min Ling’s work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and T-cell and B-cell Immunology (2 papers). Min Ling is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and T-cell and B-cell Immunology (2 papers). Min Ling collaborates with scholars based in China, United States and United Kingdom. Min Ling's co-authors include Enver Akalin, Kwaku Marfo, Amy D. Lu, Seah H. Lim, Qizhan Liu, Jie Yang, Weixing Huang, Zhe Zhu, Shun Xu and Xiaoyi Li and has published in prestigious journals such as Blood, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Min Ling i

Fields of papers citing papers by Min Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Ling

Since Specialization
Citations

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