Minjia Tan

128 papers and 7.8k indexed citations i.

About

Minjia Tan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Minjia Tan has authored 128 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 34 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Minjia Tan’s work include Ubiquitin and proteasome pathways (28 papers), Peptidase Inhibition and Analysis (21 papers) and Epigenetics and DNA Methylation (21 papers). Minjia Tan is often cited by papers focused on Ubiquitin and proteasome pathways (28 papers), Peptidase Inhibition and Analysis (21 papers) and Epigenetics and DNA Methylation (21 papers). Minjia Tan collaborates with scholars based in China, United States and South Korea. Minjia Tan's co-authors include Yingming Zhao, Zhongyu Xie, Yue Chen, Zhongyi Cheng, Lunzhi Dai, Zhike Lu, Hao Luo, Zhihong Zhang, Joanna Wysocka and Yang Ye and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Minjia Tan i

Fields of papers citing papers by Minjia Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minjia Tan

Since Specialization
Citations

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