Bin Yuan

93 total papers · 722 total citations
38 papers, 535 citations indexed

About

Bin Yuan is a scholar working on Molecular Biology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bin Yuan has authored 38 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bin Yuan's work include Intracranial Aneurysms: Treatment and Complications (5 papers), Vascular Malformations Diagnosis and Treatment (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Bin Yuan is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (5 papers), Vascular Malformations Diagnosis and Treatment (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Bin Yuan collaborates with scholars based in China, United States and Japan. Bin Yuan's co-authors include Qi Wu, Xiaojie Lu, Yanling Han, Xiaoming Zhou, Shujuan Chen, Xin Zhang, Weidong Xu, Xudong Zhao, Longjiang Zhou and Junda Shen and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Experimental Neurology.

In The Last Decade

Bin Yuan

36 papers receiving 529 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bin Yuan 249 101 96 62 58 38 535
Hanbin Wang 224 0.9× 90 0.9× 80 0.8× 58 0.9× 21 0.4× 52 570
Nataliia V. Shults 149 0.6× 90 0.9× 180 1.9× 35 0.6× 120 2.1× 30 507
Li Guo 140 0.6× 69 0.7× 83 0.9× 59 1.0× 21 0.4× 46 476
Aimin Li 157 0.6× 111 1.1× 61 0.6× 26 0.4× 58 1.0× 45 570
Yibo Liu 176 0.7× 121 1.2× 99 1.0× 89 1.4× 15 0.3× 49 544
Yongli Li 140 0.6× 96 1.0× 148 1.5× 53 0.9× 36 0.6× 38 566
Kejia Zhang 178 0.7× 46 0.5× 80 0.8× 44 0.7× 39 0.7× 43 456
Yang Li 206 0.8× 41 0.4× 88 0.9× 104 1.7× 37 0.6× 35 528
Qing Sun 281 1.1× 159 1.6× 73 0.8× 81 1.3× 21 0.4× 31 596
Yifan Liu 175 0.7× 47 0.5× 239 2.5× 34 0.5× 90 1.6× 46 596

Countries citing papers authored by Bin Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Yuan. A scholar is included among the top collaborators of Bin Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Yuan. Bin Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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