Long Shi

About

Long Shi is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Long Shi has authored 33 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Long Shi’s work include Liver Disease Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Long Shi is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Long Shi collaborates with scholars based in China, South Korea and United States. Long Shi's co-authors include Xinyi Wu, Xiaoming Yu, Zhilong Zhao, Hongling Yang, Jianhui Cai, Yong‐Doo Park, Zexian Fu, Shaohui Zhang, Wei Zhang and Fei Zou and has published in prestigious journals such as PLoS ONE, Gene and Cancer Letters.

In The Last Decade

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

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Fields of papers citing papers by Long Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Shi

Since Specialization

Citations

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