Tieying Shi

31 papers and 471 indexed citations i.

About

Tieying Shi is a scholar working on Oncology, Clinical Psychology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tieying Shi has authored 31 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Clinical Psychology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tieying Shi’s work include Cancer survivorship and care (7 papers), COVID-19 and Mental Health (5 papers) and Cancer-related cognitive impairment studies (4 papers). Tieying Shi is often cited by papers focused on Cancer survivorship and care (7 papers), COVID-19 and Mental Health (5 papers) and Cancer-related cognitive impairment studies (4 papers). Tieying Shi collaborates with scholars based in China, Japan and United States. Tieying Shi's co-authors include Xiujie Zhang, Ning Ding, Yü Liu, Yanqing Tang, Yifang Zhou, Teris Cheung, Yu‐Tao Xiang, Jun Zhang, Feng Li and Aiping Wang and has published in prestigious journals such as Medicine, BMC Public Health and Journal of Advanced Nursing.

In The Last Decade

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

Fields of papers citing papers by Tieying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tieying Shi

Since Specialization
Citations

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