Ying Shi

51 papers and 1.0k indexed citations i.

About

Ying Shi is a scholar working on Epidemiology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ying Shi has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 16 papers in Immunology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ying Shi’s work include Atherosclerosis and Cardiovascular Diseases (10 papers), Liver Disease Diagnosis and Treatment (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Ying Shi is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (10 papers), Liver Disease Diagnosis and Treatment (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Ying Shi collaborates with scholars based in China, Hong Kong and Japan. Ying Shi's co-authors include Yingzhong Lin, Qingwei Ji, Ling Liu, Zhengde Lu, Ying Huang, Lei Shi, Qiutang Zeng, Tao Zeng, Zhen Wang and Bangwei Wu and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Frontiers in Immunology.

In The Last Decade

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

Fields of papers citing papers by Ying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Shi

Since Specialization
Citations

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