Bin Gan

31 papers and 678 indexed citations i.

About

Bin Gan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Bin Gan has authored 31 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Bin Gan’s work include Lung Cancer Treatments and Mutations (6 papers), Cellular transport and secretion (5 papers) and Gene expression and cancer classification (4 papers). Bin Gan is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Cellular transport and secretion (5 papers) and Gene expression and cancer classification (4 papers). Bin Gan collaborates with scholars based in China, Singapore and Finland. Bin Gan's co-authors include Bor Luen Tang, Ke Guo, Christelle En Lin Chua, Jie Li, Jing Tang, Qi Zeng, Qi Zeng, Jie Li, Chun-Hou Zheng and Motomi Osato and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Bin Gan i

Fields of papers citing papers by Bin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Gan

Since Specialization
Citations

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