Kang Yang

29 papers and 566 indexed citations i.

About

Kang Yang is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Kang Yang has authored 29 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Kang Yang’s work include Ubiquitin and proteasome pathways (5 papers), Topic Modeling (5 papers) and Developmental Biology and Gene Regulation (5 papers). Kang Yang is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Topic Modeling (5 papers) and Developmental Biology and Gene Regulation (5 papers). Kang Yang collaborates with scholars based in China, United States and Hong Kong. Kang Yang's co-authors include Kylie J. Walters, Laura A. Díaz-Martínez, Duncan J. Clarke, Naixia Zhang, Francisca A. Cerda-Maira, Xiang Chen, K. Heran Darwin, Judith A. Effken, Robert G. Loeb and Z Lin and has published in prestigious journals such as Molecular Cell, Journal of Molecular Biology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Co-authorship network of co-authors of Kang Yang i

Fields of papers citing papers by Kang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kang Yang

Since Specialization
Citations

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