Can Tan

19 papers and 658 indexed citations i.

About

Can Tan is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Can Tan has authored 19 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Can Tan’s work include Ubiquitin and proteasome pathways (4 papers), Craniofacial Disorders and Treatments (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Can Tan is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Craniofacial Disorders and Treatments (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Can Tan collaborates with scholars based in United States, China and Japan. Can Tan's co-authors include Deyu Fang, Beixue Gao, Eli Chapman, Fei Zhao, Pak Kin Wong, Donna D. Zhang, Naoko Yagishita, Toshihiro Nakajima, Tongde Wu and Sinyi Kong and has published in prestigious journals such as Nature Communications, Genes & Development and Blood.

In The Last Decade

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

Fields of papers citing papers by Can Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Tan

Since Specialization
Citations

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