Qinghua Bian

70 total papers · 736 total citations
49 papers, 560 citations indexed

About

Qinghua Bian is a scholar working on Organic Chemistry, Insect Science and Molecular Biology. According to data from OpenAlex, Qinghua Bian has authored 49 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Organic Chemistry, 9 papers in Insect Science and 8 papers in Molecular Biology. Recurrent topics in Qinghua Bian's work include Synthetic Organic Chemistry Methods (20 papers), Asymmetric Synthesis and Catalysis (19 papers) and Chemical synthesis and alkaloids (12 papers). Qinghua Bian is often cited by papers focused on Synthetic Organic Chemistry Methods (20 papers), Asymmetric Synthesis and Catalysis (19 papers) and Chemical synthesis and alkaloids (12 papers). Qinghua Bian collaborates with scholars based in China, United States and Czechia. Qinghua Bian's co-authors include Jiangchun Zhong, Bing Zheng, Shangzhong Liu, Jianyou Mao, Min Wang, Feipeng Liu, Lin Wu, Patrick J. Walsh, Shicong Hou and Min Wang and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Qinghua Bian

46 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
Qinghua Bian	463	118	94	31	29	49	560
Yoshitaka Araki	431 0.9×	124 1.1×	127 1.4×	41 1.3×	26 0.9×	28	557
Masashige Yamauchi	434 0.9×	79 0.7×	119 1.3×	28 0.9×	24 0.8×	64	506
J. Y. SATOH	430 0.9×	157 1.3×	66 0.7×	26 0.8×	23 0.8×	47	521
Yoshitsugu Arai	597 1.3×	67 0.6×	130 1.4×	54 1.7×	26 0.9×	43	651
Peng Chen	383 0.8×	85 0.7×	187 2.0×	46 1.5×	30 1.0×	34	585
Alexander W. Schuppe	411 0.9×	106 0.9×	124 1.3×	21 0.7×	20 0.7×	25	505
Philippe Delair	508 1.1×	63 0.5×	145 1.5×	27 0.9×	24 0.8×	23	563
K. Mukkanti	526 1.1×	92 0.8×	194 2.1×	23 0.7×	35 1.2×	63	665
Masahide Tanaka	511 1.1×	111 0.9×	175 1.9×	55 1.8×	25 0.9×	34	642
Yoko Yuasa	565 1.2×	73 0.6×	197 2.1×	32 1.0×	51 1.8×	76	659

Countries citing papers authored by Qinghua Bian

Since Specialization

Citations

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

Fields of papers citing papers by Qinghua Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Bian

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