Shuangyi Wan

28 total papers · 787 total citations
15 papers, 575 citations indexed

About

Shuangyi Wan is a scholar working on Organic Chemistry, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Shuangyi Wan has authored 15 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 4 papers in Inorganic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Shuangyi Wan's work include Synthetic Organic Chemistry Methods (8 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). Shuangyi Wan is often cited by papers focused on Synthetic Organic Chemistry Methods (8 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). Shuangyi Wan collaborates with scholars based in United States, China and Japan. Shuangyi Wan's co-authors include Paul E. Floreancig, Danielle L. Aubele, Wei‐Yin Sun, Michael E. Green, Taka‐aki Okamura, Norikazu Ueyama, Dane J. Clausen, Jian Fan, K. N. Houk and Hakan Günaydin and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Shuangyi Wan

15 papers receiving 570 citations

Author Peers

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

Author						Papers	Cites
Shuangyi Wan	391	181	117	94	84	15	575
Herman P. Perzanowski	299 0.8×	77 0.4×	79 0.7×	68 0.7×	82 1.0×	26	546
Raphaël Dumeunier	546 1.4×	148 0.8×	122 1.0×	13 0.1×	54 0.6×	23	648
Yuichi Kaneko	556 1.4×	212 1.2×	128 1.1×	19 0.2×	32 0.4×	21	644
R. V. WATTLEY	380 1.0×	99 0.5×	147 1.3×	43 0.5×	28 0.3×	13	670
Masato Oshima	427 1.1×	237 1.3×	48 0.4×	22 0.2×	29 0.3×	27	510
L. Párkányi	314 0.8×	157 0.9×	65 0.6×	9 0.1×	135 1.6×	26	496
Philippe Dupau	392 1.0×	244 1.3×	142 1.2×	28 0.3×	28 0.3×	19	600
Rohan D. Erande	435 1.1×	55 0.3×	107 0.9×	44 0.5×	30 0.4×	31	568
Carlos Pérez‐Balado	381 1.0×	56 0.3×	104 0.9×	25 0.3×	50 0.6×	16	528
Thomas C. W. Mak	93 0.2×	134 0.7×	235 2.0×	70 0.7×	15 0.2×	19	609

Countries citing papers authored by Shuangyi Wan

Since Specialization

Citations

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

Fields of papers citing papers by Shuangyi Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyi Wan

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