Jin Jen

5 papers and 390 indexed citations i.

About

Jin Jen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jin Jen has authored 5 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Immunology. Recurrent topics in Jin Jen’s work include Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related gene regulation (1 paper) and Sperm and Testicular Function (1 paper). Jin Jen is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related gene regulation (1 paper) and Sperm and Testicular Function (1 paper). Jin Jen collaborates with scholars based in United States, Germany and Canada. Jin Jen's co-authors include Todd Waldman, Tatiana Dracheva, Jung‐Sik Kim, Baljit Singh, Jian-Bing Fan, Monica M. Reinholz, Beiyun Chen, Eric P. Winer, Xochiquetzal J. Geiger and Yan W. Asmann and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and JCI Insight.

In The Last Decade

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

Fields of papers citing papers by Jin Jen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Jen

Since Specialization
Citations

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