Pengda Liu

74 papers and 4.2k indexed citations i.

About

Pengda Liu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Pengda Liu has authored 74 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Immunology. Recurrent topics in Pengda Liu’s work include Ubiquitin and proteasome pathways (24 papers), PI3K/AKT/mTOR signaling in cancer (13 papers) and interferon and immune responses (10 papers). Pengda Liu is often cited by papers focused on Ubiquitin and proteasome pathways (24 papers), PI3K/AKT/mTOR signaling in cancer (13 papers) and interferon and immune responses (10 papers). Pengda Liu collaborates with scholars based in United States, China and Hong Kong. Pengda Liu's co-authors include Wenyi Wei, Hiroyuki Inuzuka, Le Yu, Zhiwei Wang, Jessica Wei, Wenjian Gan, Daming Gao, Lixin Wan, Jianping Guo and Hidefumi Fukushima and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Pengda Liu i

Fields of papers citing papers by Pengda Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengda Liu

Since Specialization
Citations

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