Hai-Lian Bi

26 papers and 769 indexed citations i.

About

Hai-Lian Bi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Hai-Lian Bi has authored 26 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 6 papers in Oncology. Recurrent topics in Hai-Lian Bi’s work include Ubiquitin and proteasome pathways (9 papers), Peptidase Inhibition and Analysis (5 papers) and Cardiac Fibrosis and Remodeling (4 papers). Hai-Lian Bi is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), Peptidase Inhibition and Analysis (5 papers) and Cardiac Fibrosis and Remodeling (4 papers). Hai-Lian Bi collaborates with scholars based in China. Hai-Lian Bi's co-authors include Hui‐Hua Li, Huijian Wu, Xin Xie, Xiang Ao, Alan K. Chang, Feng Zhao, Ying Liu, Jie Du, Hongxia Wang and Yunlong Xia and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Hai-Lian Bi i

Fields of papers citing papers by Hai-Lian Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Lian Bi. 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 Hai-Lian Bi. The network helps show where Hai-Lian Bi may publish in the future.

Countries citing papers authored by Hai-Lian Bi

Since Specialization
Citations

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