Renjie Jin

22 papers and 602 indexed citations i.

About

Renjie Jin is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Renjie Jin has authored 22 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 11 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Renjie Jin’s work include Prostate Cancer Treatment and Research (11 papers), Quantum-Dot Cellular Automata (4 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). Renjie Jin is often cited by papers focused on Prostate Cancer Treatment and Research (11 papers), Quantum-Dot Cellular Automata (4 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). Renjie Jin collaborates with scholars based in United States, China and Canada. Renjie Jin's co-authors include Robert J. Matusik, Thomas C. Case, Aparna Gupta, Yongqing Wang, Janni Mirosevich, Nan Gao, Paul S. Rennie, Jianfeng Zhang, Peter E. Clark and Yajun Yi and has published in prestigious journals such as Cancer Research, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Renjie Jin i

Fields of papers citing papers by Renjie Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Renjie Jin

Since Specialization
Citations

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