Ming Tian

23 papers and 463 indexed citations i.

About

Ming Tian is a scholar working on Oncology, Infectious Diseases and Neurology. According to data from OpenAlex, Ming Tian has authored 23 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Infectious Diseases and 4 papers in Neurology. Recurrent topics in Ming Tian’s work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (4 papers) and Migration and Labor Dynamics (3 papers). Ming Tian is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (4 papers) and Migration and Labor Dynamics (3 papers). Ming Tian collaborates with scholars based in China, Hong Kong and United States. Ming Tian's co-authors include Junwu Dong, Cuihua Liu, Yali Ren, Wěi Li, Weifeng Shang, Yuanyuan Li, Pengju Liu, Ping Liu, Wenhua Chen and Tian Zheng and has published in prestigious journals such as Scientific Reports, Medicine and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Ming Tian i

Fields of papers citing papers by Ming Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Tian

Since Specialization
Citations

This map shows the geographic impact of Ming Tian'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 Ming Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tian 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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2025