Academia Sinica

20.1k papers and 461.6k indexed citations i.

About

In recent decades, authors affiliated with Academia Sinica have published 20.1k papers, which have received a total of 461.6k indexed citations. Scholars at this organization have produced 4.5k papers in Molecular Biology, 2.6k papers in Materials Chemistry and 2.1k papers in Electrical and Electronic Engineering on the topics of Advanced Chemical Physics Studies (319 papers), Conducting polymers and applications (309 papers) and Glycosylation and Glycoproteins Research (306 papers). Their work is cited by papers focused on Molecular Biology (117.6k citations), Materials Chemistry (70.8k citations) and Electrical and Electronic Engineering (56.6k citations). Authors at Academia Sinica collaborate with scholars in Taiwan, China and United States and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Academia Sinica's most productive authors include Tzyy‐Jen Chiou, Chih‐Wei Chu, Chi‐Huey Wong, Lain‐Jong Li, Chin‐Kun Hu, Yu‐Tai Tao, Pung‐Pung Hwang, Andrew H.‐J. Wang, Ru‐Shi Liu and Wolfgang Schmidt.

In The Last Decade

Fields of papers published by authors at Academia Sinica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Academia Sinica at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Academia Sinica at the time of their publication.

Countries citing scholars working at Academia Sinica

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Academia Sinica. 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 papers produced at Academia Sinica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Academia Sinica 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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