Shangda Yang

18 papers and 1.0k indexed citations i.

About

Shangda Yang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Shangda Yang has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Shangda Yang’s work include Ubiquitin and proteasome pathways (5 papers), Hematopoietic Stem Cell Transplantation (3 papers) and DNA Repair Mechanisms (3 papers). Shangda Yang is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Hematopoietic Stem Cell Transplantation (3 papers) and DNA Repair Mechanisms (3 papers). Shangda Yang collaborates with scholars based in China, United States and Slovakia. Shangda Yang's co-authors include Lei Shi, Yongfeng Shang, Na Yu, Jing Liang, Nan Song, Ling Liu, Qi Zhang, Xing Zhou, Xin Li and Xia Yi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

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

Fields of papers citing papers by Shangda Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shangda Yang

Since Specialization
Citations

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