Weihua Bian

40 total papers · 672 total citations
27 papers, 513 citations indexed

About

Weihua Bian is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Weihua Bian has authored 27 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Weihua Bian's work include Cancer-related molecular mechanisms research (8 papers), Congenital heart defects research (4 papers) and MicroRNA in disease regulation (4 papers). Weihua Bian is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Congenital heart defects research (4 papers) and MicroRNA in disease regulation (4 papers). Weihua Bian collaborates with scholars based in China, United States and Vietnam. Weihua Bian's co-authors include Yeying Sun, Jing Jiang, Yang Zhou, Jianyi Zhang, Daolai Zhang, Wang‐Ping Chen, Chunxiang Zhang, Thanh Nguyen, Haiyan Wang and Meng Zhao and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Weihua Bian

27 papers receiving 511 citations

Author Peers

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

Author Last Decade Papers Cites
Weihua Bian 344 193 83 82 62 27 513
Angelika Kusch 277 0.8× 110 0.6× 95 1.1× 79 1.0× 108 1.7× 23 617
Meiping Ren 296 0.9× 192 1.0× 49 0.6× 71 0.9× 68 1.1× 23 597
Hendrika A. B. Peters 244 0.7× 119 0.6× 75 0.9× 55 0.7× 150 2.4× 27 497
Gerard F. Clunn 335 1.0× 130 0.7× 129 1.6× 76 0.9× 77 1.2× 20 567
Heike Meýborg 231 0.7× 128 0.7× 89 1.1× 99 1.2× 134 2.2× 31 568
Yangguang Yin 293 0.9× 79 0.4× 108 1.3× 53 0.6× 53 0.9× 20 546
Shaoyan Jiang 333 1.0× 225 1.2× 48 0.6× 54 0.7× 65 1.0× 20 493
Min Cheng 360 1.0× 218 1.1× 62 0.7× 113 1.4× 77 1.2× 27 566
Yao Lu 280 0.8× 105 0.5× 58 0.7× 33 0.4× 50 0.8× 23 573
Yi Fu 371 1.1× 162 0.8× 78 0.9× 40 0.5× 99 1.6× 20 592

Countries citing papers authored by Weihua Bian

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Bian. A scholar is included among the top collaborators of Weihua Bian 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 Weihua Bian. Weihua Bian 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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