Di Tian

16 papers and 824 indexed citations i.

About

Di Tian is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Di Tian has authored 16 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Di Tian’s work include COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Viral Infections and Vectors (4 papers). Di Tian is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Viral Infections and Vectors (4 papers). Di Tian collaborates with scholars based in China, Hong Kong and Finland. Di Tian's co-authors include Jun Chen, Sheng Wang, Fan Wu, Yun Ling, Wei Huang, Lei Zhu, George F. Gao, Guizhen Wu, Catherine C. L. Wong and Siyuan Wang and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Di Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Tian

Since Specialization
Citations

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