Tong Tong

109 papers and 2.5k indexed citations i.

About

Tong Tong is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Tong Tong has authored 109 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 50 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Surgery. Recurrent topics in Tong Tong’s work include Radiomics and Machine Learning in Medical Imaging (43 papers), Colorectal Cancer Surgical Treatments (35 papers) and MRI in cancer diagnosis (14 papers). Tong Tong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (43 papers), Colorectal Cancer Surgical Treatments (35 papers) and MRI in cancer diagnosis (14 papers). Tong Tong collaborates with scholars based in China, United States and Germany. Tong Tong's co-authors include Yiqun Sun, Baskaran Rajasekaran, Shunqian Jin, Feiyue Fan, Wenhong Fan, Qimin Zhan, Yajia Gu, Xiaocheng Zhu, Lucia Mazzacurati and Weijun Peng and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Tong Tong i

Fields of papers citing papers by Tong Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tong Tong

Since Specialization
Citations

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