Feng Shi

35 papers and 678 indexed citations i.

About

Feng Shi is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Feng Shi has authored 35 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Oncology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Feng Shi’s work include Thyroid Cancer Diagnosis and Treatment (11 papers), RNA modifications and cancer (9 papers) and Viral-associated cancers and disorders (7 papers). Feng Shi is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (11 papers), RNA modifications and cancer (9 papers) and Viral-associated cancers and disorders (7 papers). Feng Shi collaborates with scholars based in China, United States and Hong Kong. Feng Shi's co-authors include Ya Cao, Ann M. Bode, Xiangjian Luo, Yueshuo Li, Min Tang, Longlong Xie, Jianmin Hu, Lin Zhao, Jia Fan and Xinfang Yu and has published in prestigious journals such as Journal of Clinical Oncology, Environmental Science & Technology and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Feng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Shi

Since Specialization
Citations

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