Ting Shi

75 papers and 2.1k indexed citations i.

About

Ting Shi is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Ting Shi has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 21 papers in Infectious Diseases and 10 papers in Surgery. Recurrent topics in Ting Shi’s work include Respiratory viral infections research (22 papers), Pneumonia and Respiratory Infections (14 papers) and COVID-19 Clinical Research Studies (14 papers). Ting Shi is often cited by papers focused on Respiratory viral infections research (22 papers), Pneumonia and Respiratory Infections (14 papers) and COVID-19 Clinical Research Studies (14 papers). Ting Shi collaborates with scholars based in United Kingdom, China and United States. Ting Shi's co-authors include Harish Nair, Harry Campbell, John Burrows, Kenneth A McLean, Evelyn Balsells, Yue Chu, Igor Rudan, David McAllister, Li Liu and Robert E. Black and has published in prestigious journals such as Nature Communications, Stroke and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Ting Shi i

Fields of papers citing papers by Ting Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Shi

Since Specialization
Citations

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