Gui-Tao Wang

27 total papers · 838 total citations
22 papers, 759 citations indexed

About

Gui-Tao Wang is a scholar working on Organic Chemistry, Molecular Biology and Biomaterials. According to data from OpenAlex, Gui-Tao Wang has authored 22 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 13 papers in Molecular Biology and 12 papers in Biomaterials. Recurrent topics in Gui-Tao Wang's work include Chemical Synthesis and Analysis (13 papers), Supramolecular Self-Assembly in Materials (12 papers) and Supramolecular Chemistry and Complexes (8 papers). Gui-Tao Wang is often cited by papers focused on Chemical Synthesis and Analysis (13 papers), Supramolecular Self-Assembly in Materials (12 papers) and Supramolecular Chemistry and Complexes (8 papers). Gui-Tao Wang collaborates with scholars based in China and United States. Gui-Tao Wang's co-authors include Zhan‐Ting Li, Xi‐Kui Jiang, Yun‐Xiang Xu, Renxiao Wang, Wei Cai, Xin Zhao, Ping Du, Hui‐Ping Yi, Chuang Li and Lu Wang and has published in prestigious journals such as Journal of the American Chemical Society, Langmuir and The Journal of Organic Chemistry.

In The Last Decade

Gui-Tao Wang

22 papers receiving 754 citations

Author Peers

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

Author Last Decade Papers Cites
Gui-Tao Wang 584 406 371 265 133 22 759
Sahnawaz Ahmed 406 0.7× 533 1.3× 282 0.8× 274 1.0× 98 0.7× 28 797
Toyoharu Miyagawa 572 1.0× 364 0.9× 144 0.4× 251 0.9× 173 1.3× 26 806
Pim G. A. Janssen 250 0.4× 335 0.8× 413 1.1× 286 1.1× 64 0.5× 18 755
Takayoshi Kawasaki 287 0.5× 267 0.7× 208 0.6× 274 1.0× 126 0.9× 17 669
Shreedhar Bhat 490 0.8× 362 0.9× 196 0.5× 264 1.0× 84 0.6× 26 790
Julfikar Hassan Mondal 365 0.6× 414 1.0× 197 0.5× 245 0.9× 143 1.1× 15 641
Stefano Corrà 402 0.7× 205 0.5× 160 0.4× 327 1.2× 150 1.1× 24 695
Milan Jokić 363 0.6× 527 1.3× 299 0.8× 295 1.1× 69 0.5× 37 822
Janja Makarević 362 0.6× 532 1.3× 325 0.9× 276 1.0× 59 0.4× 28 744
Zhiyong Zhao 339 0.6× 182 0.4× 258 0.7× 255 1.0× 187 1.4× 43 750

Countries citing papers authored by Gui-Tao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gui-Tao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui-Tao Wang. 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 Gui-Tao Wang. The network helps show where Gui-Tao Wang may publish in the future.

Co-authorship network of co-authors of Gui-Tao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gui-Tao Wang. A scholar is included among the top collaborators of Gui-Tao Wang 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 Gui-Tao Wang. Gui-Tao Wang 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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