Wen Shi

33 papers and 401 indexed citations i.

About

Wen Shi is a scholar working on Oncology, Pollution and Molecular Biology. According to data from OpenAlex, Wen Shi has authored 33 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Pollution and 4 papers in Molecular Biology. Recurrent topics in Wen Shi’s work include Heavy metals in environment (8 papers), CAR-T cell therapy research (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Wen Shi is often cited by papers focused on Heavy metals in environment (8 papers), CAR-T cell therapy research (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Wen Shi collaborates with scholars based in China, United States and United Kingdom. Wen Shi's co-authors include Feili Li, Zanfang Jin, Qing Xia, Haifeng Huang, Fei Guo, Guangyao Sheng, Gaoxiang Zhang, Renshi Li, Chaofeng Zhang and James Larkin and has published in prestigious journals such as Journal of Clinical Oncology, The Science of The Total Environment and Chemosphere.

In The Last Decade

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

Fields of papers citing papers by Wen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wen Shi

Since Specialization
Citations

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