Shih‐Ting Wang

50 total papers · 998 total citations
30 papers, 641 citations indexed

About

Shih‐Ting Wang is a scholar working on Molecular Biology, Biomaterials and Materials Chemistry. According to data from OpenAlex, Shih‐Ting Wang has authored 30 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Biomaterials and 6 papers in Materials Chemistry. Recurrent topics in Shih‐Ting Wang's work include Advanced biosensing and bioanalysis techniques (9 papers), Supramolecular Self-Assembly in Materials (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). Shih‐Ting Wang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), Supramolecular Self-Assembly in Materials (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). Shih‐Ting Wang collaborates with scholars based in Taiwan, United States and United Kingdom. Shih‐Ting Wang's co-authors include Molly M. Stevens, Yiyang Lin, Oleg Gang, Pei‐Tseng Kung, Wen‐Chen Tsai, Ronald N. Zuckermann, Christopher D. Spicer, Nevena Todorova, Nadav Amdursky and James Byrnes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Shih‐Ting Wang

28 papers receiving 634 citations

Author Peers

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

Author Last Decade Papers Cites
Shih‐Ting Wang 305 123 107 80 68 30 641
Imola Cs. Szigyártó 362 1.2× 96 0.8× 120 1.1× 144 1.8× 56 0.8× 37 682
Monika Marcinkowska 331 1.1× 157 1.3× 75 0.7× 107 1.3× 50 0.7× 24 628
Josh W. Kurutz 216 0.7× 62 0.5× 120 1.1× 69 0.9× 58 0.9× 19 572
Ratan Kumar 246 0.8× 130 1.1× 79 0.7× 98 1.2× 18 0.3× 26 606
Chiara Garrovo 203 0.7× 134 1.1× 101 0.9× 157 2.0× 47 0.7× 24 722
Marc D. Roy 308 1.0× 100 0.8× 129 1.2× 78 1.0× 101 1.5× 20 608
Haibo Sun 382 1.3× 160 1.3× 134 1.3× 140 1.8× 44 0.6× 29 784
Kay‐Eberhard Gottschalk 406 1.3× 101 0.8× 106 1.0× 133 1.7× 43 0.6× 37 788
Hongmei Chen 243 0.8× 125 1.0× 132 1.2× 197 2.5× 101 1.5× 30 719
Yi‐Fan Chen 171 0.6× 91 0.7× 147 1.4× 155 1.9× 72 1.1× 37 580

Countries citing papers authored by Shih‐Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Ting 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 Shih‐Ting Wang. The network helps show where Shih‐Ting Wang may publish in the future.

Co-authorship network of co-authors of Shih‐Ting Wang

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