Chun‐Yan Wu

28 total papers · 477 total citations
23 papers, 374 citations indexed

About

Chun‐Yan Wu is a scholar working on Organic Chemistry, Inorganic Chemistry and Pharmaceutical Science. According to data from OpenAlex, Chun‐Yan Wu has authored 23 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Organic Chemistry, 8 papers in Inorganic Chemistry and 6 papers in Pharmaceutical Science. Recurrent topics in Chun‐Yan Wu's work include Catalytic C–H Functionalization Methods (10 papers), Synthesis and Catalytic Reactions (7 papers) and Fluorine in Organic Chemistry (6 papers). Chun‐Yan Wu is often cited by papers focused on Catalytic C–H Functionalization Methods (10 papers), Synthesis and Catalytic Reactions (7 papers) and Fluorine in Organic Chemistry (6 papers). Chun‐Yan Wu collaborates with scholars based in China, Hong Kong and Montenegro. Chun‐Yan Wu's co-authors include Ming‐Hua Xu, An‐Xin Wu, Xiang‐Long Chen, Zhi‐Cheng Yu, Shi‐Yi Zhuang, Jin‐Tian Ma, Yan‐Dong Wu, Hongju Mao, Qinghui Jin and Xianfeng Chen and has published in prestigious journals such as Chemical Communications, The Journal of Organic Chemistry and Biosensors and Bioelectronics.

In The Last Decade

Chun‐Yan Wu

21 papers receiving 370 citations

Author Peers

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

Author						Papers	Cites
Chun‐Yan Wu	238	101	79	60	52	23	374
Krzysztof M. Borys	289 1.2×	132 1.3×	28 0.4×	46 0.8×	75 1.4×	19	426
Motohiro Mitani	137 0.6×	92 0.9×	30 0.4×	23 0.4×	105 2.0×	29	358
Harbans S. Sachdev	250 1.1×	121 1.2×	41 0.5×	36 0.6×	22 0.4×	26	370
Yucheng Wang	242 1.0×	61 0.6×	40 0.5×	38 0.6×	83 1.6×	35	445
Yukihito Sumino	321 1.3×	55 0.5×	138 1.7×	39 0.7×	54 1.0×	14	414
Jan Saska	183 0.8×	53 0.5×	69 0.9×	72 1.2×	64 1.2×	13	413
Ruzal Sitdikov	95 0.4×	186 1.8×	108 1.4×	29 0.5×	51 1.0×	21	354
Aiguo Song	280 1.2×	85 0.8×	42 0.5×	46 0.8×	22 0.4×	19	390
Michał Jakubczyk	239 1.0×	55 0.5×	16 0.2×	99 1.6×	54 1.0×	18	344
Maryann Morales	112 0.5×	41 0.4×	32 0.4×	28 0.5×	124 2.4×	16	380

Countries citing papers authored by Chun‐Yan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Yan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Yan Wu. 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 Chun‐Yan Wu. The network helps show where Chun‐Yan Wu may publish in the future.

Co-authorship network of co-authors of Chun‐Yan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yan Wu. A scholar is included among the top collaborators of Chun‐Yan Wu 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 Chun‐Yan Wu. Chun‐Yan Wu 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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