Jun Qin

5 papers and 1.2k indexed citations i.

About

Jun Qin is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jun Qin has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Surgery. Recurrent topics in Jun Qin’s work include Cancer-related Molecular Pathways (2 papers), Cell Adhesion Molecules Research (1 paper) and Cancer-related gene regulation (1 paper). Jun Qin is often cited by papers focused on Cancer-related Molecular Pathways (2 papers), Cell Adhesion Molecules Research (1 paper) and Cancer-related gene regulation (1 paper). Jun Qin collaborates with scholars based in United States, Ukraine and France. Jun Qin's co-authors include David Cortez, Stephen J. Elledge, Valeria Facchinetti, Carolyn J. Lowry, Weiming Ouyang, Adam S. Lazorchak, Qing Miao, Bing Su, Wei Hua and Yuxin Mao and has published in prestigious journals such as Science, The EMBO Journal and Oncotarget.

In The Last Decade

Co-authorship network of co-authors of Jun Qin i

Fields of papers citing papers by Jun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Qin

Since Specialization
Citations

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