Mei‐Ling Tan

31 total papers · 460 total citations
18 papers, 328 citations indexed

About

Mei‐Ling Tan is a scholar working on Organic Chemistry, Biomaterials and Molecular Biology. According to data from OpenAlex, Mei‐Ling Tan has authored 18 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 5 papers in Biomaterials and 3 papers in Molecular Biology. Recurrent topics in Mei‐Ling Tan's work include Supramolecular Self-Assembly in Materials (5 papers), Catalytic C–H Functionalization Methods (4 papers) and Synthesis and Properties of Aromatic Compounds (4 papers). Mei‐Ling Tan is often cited by papers focused on Supramolecular Self-Assembly in Materials (5 papers), Catalytic C–H Functionalization Methods (4 papers) and Synthesis and Properties of Aromatic Compounds (4 papers). Mei‐Ling Tan collaborates with scholars based in China, Switzerland and United States. Mei‐Ling Tan's co-authors include Jingsong You, Jiangliang Yin, Chengming Li, Di Wu, Wei Ji, Kaiyong Cai, Shuaijie Liu, Yuanyuan Yin, Siying Chen and Shuo Tong and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Mei‐Ling Tan

18 papers receiving 326 citations

Hit Papers

Piezoelectric Biomaterial... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Mei‐Ling Tan 218 83 69 32 26 18 328
Stefania F. Musolino 167 0.8× 56 0.7× 65 0.9× 54 1.7× 29 1.1× 20 318
Yuyuan Ye 139 0.6× 133 1.6× 55 0.8× 48 1.5× 18 0.7× 23 318
Liang Luo 162 0.7× 181 2.2× 47 0.7× 47 1.5× 27 1.0× 12 352
Fathy Hassan 99 0.5× 167 2.0× 39 0.6× 50 1.6× 18 0.7× 19 315
Sk Mehebub Rahaman 110 0.5× 104 1.3× 43 0.6× 25 0.8× 42 1.6× 32 282
Kangle Jia 136 0.6× 126 1.5× 83 1.2× 37 1.2× 31 1.2× 18 326
Qiao‐Yan Qi 125 0.6× 98 1.2× 32 0.5× 23 0.7× 39 1.5× 18 225
Francesca Cardano 81 0.4× 166 2.0× 101 1.5× 39 1.2× 22 0.8× 20 300
Kai Mundsinger 178 0.8× 141 1.7× 75 1.1× 28 0.9× 31 1.2× 15 336
Jürgen Linders 132 0.6× 111 1.3× 53 0.8× 15 0.5× 62 2.4× 25 326

Countries citing papers authored by Mei‐Ling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Ling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Ling Tan. 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 Mei‐Ling Tan. The network helps show where Mei‐Ling Tan may publish in the future.

Co-authorship network of co-authors of Mei‐Ling Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Ling Tan. A scholar is included among the top collaborators of Mei‐Ling Tan 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 Mei‐Ling Tan. Mei‐Ling Tan 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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