Jing Si

18 papers and 303 indexed citations i.

About

Jing Si is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Jing Si has authored 18 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 5 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in Jing Si’s work include Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers) and Breast Implant and Reconstruction (4 papers). Jing Si is often cited by papers focused on Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers) and Breast Implant and Reconstruction (4 papers). Jing Si collaborates with scholars based in China, United States and Germany. Jing Si's co-authors include Rong Guo, Jiong Wu, Yayun Chi, Weiru Chi, Jiajian Chen, Bingqiu Xiu, Jingyan Xue, Zhi‐Ming Shao, Lun Li and Lei Liu and has published in prestigious journals such as PLoS ONE, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Jing Si i

Fields of papers citing papers by Jing Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Si

Since Specialization
Citations

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