Hua Tan

65 total papers · 6.2k total citations
50 papers, 1.5k citations indexed

About

Hua Tan is a scholar working on Molecular Biology, Biomaterials and Pollution. According to data from OpenAlex, Hua Tan has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Biomaterials and 10 papers in Pollution. Recurrent topics in Hua Tan's work include biodegradable polymer synthesis and properties (12 papers), Microplastics and Plastic Pollution (9 papers) and Tryptophan and brain disorders (6 papers). Hua Tan is often cited by papers focused on biodegradable polymer synthesis and properties (12 papers), Microplastics and Plastic Pollution (9 papers) and Tryptophan and brain disorders (6 papers). Hua Tan collaborates with scholars based in Canada, China and Malaysia. Hua Tan's co-authors include Lisa McConlogue, Junfeng Wang, Kumar Sudesh, Karen Khan, Ivan Lieberburg, Kelly Johnson‐Wood, Ruth Motter, Dora Games, Grace Gordon and Dale Schenk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioresource Technology.

In The Last Decade

Hua Tan

49 papers receiving 1.5k citations

Hit Papers

Amyloid precursor protein... 1997 2026 2006 2016 1997 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Hua Tan 746 570 305 237 170 50 1.5k
Yanjie Sun 562 0.8× 543 1.0× 159 0.5× 83 0.4× 244 1.4× 55 1.6k
Raluca Ioana Teleanu 347 0.5× 796 1.4× 212 0.7× 307 1.3× 245 1.4× 39 2.2k
Daniel Mihai Teleanu 343 0.5× 779 1.4× 198 0.6× 305 1.3× 245 1.4× 28 2.2k
Loredana Cristiano 342 0.5× 906 1.6× 153 0.5× 75 0.3× 128 0.8× 52 1.8k
Michele d’Angelo 419 0.6× 945 1.7× 220 0.7× 93 0.4× 205 1.2× 80 2.2k
Isabel Carreras 672 0.9× 805 1.4× 258 0.8× 33 0.1× 302 1.8× 43 1.9k
Rong Wang 1.1k 1.5× 932 1.6× 163 0.5× 54 0.2× 126 0.7× 36 2.1k
Jianjun Liu 411 0.6× 645 1.1× 142 0.5× 59 0.2× 183 1.1× 107 1.8k
Abolghasem Esmaeili 282 0.4× 746 1.3× 239 0.8× 224 0.9× 129 0.8× 92 2.0k
Jing Yu 226 0.3× 491 0.9× 286 0.9× 144 0.6× 99 0.6× 72 1.8k

Countries citing papers authored by Hua Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hua Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Tan

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