Run Gong

5 papers and 334 indexed citations i.

About

Run Gong is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Run Gong has authored 5 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Run Gong’s work include Extracellular vesicles in disease (1 paper), Lung Cancer Treatments and Mutations (1 paper) and RNA modifications and cancer (1 paper). Run Gong is often cited by papers focused on Extracellular vesicles in disease (1 paper), Lung Cancer Treatments and Mutations (1 paper) and RNA modifications and cancer (1 paper). Run Gong collaborates with scholars based in China. Run Gong's co-authors include Ying Gao, Wen Wang, Ruhua Zhang, Song Gao, Liyan Huang, Tiebang Kang, Denghui Wei, Yuanzhong Wu, Yaxiong Zhang and Yunpeng Yang and has published in prestigious journals such as Cell Research, BMC Cancer and Cancer Medicine.

In The Last Decade

Co-authorship network of co-authors of Run Gong i

Fields of papers citing papers by Run Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Run Gong

Since Specialization
Citations

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