Hua Tan

6.3k total citations · 1 hit paper
50 papers, 1.6k 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 1.6k 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, Peter Seubert, Grace Gordon, Dora Games, Kelly Johnson‐Wood, Marcia N. Gordon, Ivan Lieberburg and Ruth Motter 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 processing and Aβ 42 deposition... 1997 2026 2006 2016 1997 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Amyloid precursor protein processing and Aβ 42 deposition in a transgenic mouse model of Alzheimer disease
    1997 553 citations Hua Tan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hua Tan Canada 19 747 574 305 248 170 50 1.6k
Abolghasem Esmaeili Iran 24 289 0.4× 750 1.3× 239 0.8× 226 0.9× 136 0.8× 93 2.0k
Jing Yu China 26 226 0.3× 492 0.9× 287 0.9× 145 0.6× 99 0.6× 73 1.8k
María Isabel Fonseca Argentina 28 1.0k 1.4× 730 1.3× 343 1.1× 33 0.1× 1.2k 6.8× 88 2.9k
Maryam Ghasemi‐Kasman Iran 24 244 0.3× 545 0.9× 229 0.8× 114 0.5× 257 1.5× 68 1.6k
Sherry L. Xu Hong Kong 24 727 1.0× 717 1.2× 363 1.2× 95 0.4× 403 2.4× 40 2.2k
David D. Allen United States 19 154 0.2× 724 1.3× 243 0.8× 158 0.6× 93 0.5× 27 1.7k
Jack Rivers‐Auty United Kingdom 22 209 0.3× 487 0.8× 63 0.2× 73 0.3× 150 0.9× 42 1.3k
Hejiang Zhou China 15 308 0.4× 576 1.0× 95 0.3× 161 0.6× 129 0.8× 23 1.4k
Hyun Chul Koh South Korea 27 176 0.2× 1.2k 2.1× 414 1.4× 88 0.4× 149 0.9× 60 2.4k
Ana Paula Horn Brazil 23 287 0.4× 481 0.8× 153 0.5× 125 0.5× 133 0.8× 56 1.4k

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

20 of 20 papers shown
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Tan, Hua, Chanaporn Trakunjae, Min Fey Chek, et al.. (2024). N-terminal truncation of PhaCBP-M-CPF4 and its effect on PHA production. Microbial Cell Factories. 23(1). 52–52. 3 indexed citations
3.
Tan, Hua, et al.. (2024). Polyhydroxyalkanoate Biosynthesis from Waste Cooking Oils by Cupriavidus necator Strains Harbouring phaCBP-M-CPF4. Journal of Polymers and the Environment. 32(8). 3490–3502. 7 indexed citations
4.
Tan, Hua, et al.. (2023). Redox Protein Thioredoxin Mediates Neurite Outgrowth in Primary Cultured Mouse Cerebral Cortical Neurons. Neuroscience. 537. 165–173. 1 indexed citations
5.
Chek, Min Fey, et al.. (2022). Polyhydroxyalkanoate synthase (PhaC): The key enzyme for biopolyester synthesis. Current Research in Biotechnology. 4. 87–101. 54 indexed citations
6.
Tan, Hua, Min Fey Chek, Yuki Miyahara, et al.. (2022). Characterization of an (R)-specific enoyl-CoA hydratase from Streptomyces sp. strain CFMR 7: A metabolic tool for enhancing the production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate). Journal of Bioscience and Bioengineering. 134(4). 288–294. 12 indexed citations
7.
Chek, Min Fey, Sun‐Yong Kim, Tomoyuki Mori, et al.. (2020). Asymmetric Open-Closed Dimer Mechanism of Polyhydroxyalkanoate Synthase PhaC. iScience. 23(5). 101084–101084. 31 indexed citations
8.
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Zhang, Qingling, Justin G. Julander, Antitsa Stoycheva, et al.. (2015). Development of a Hyperglycosylated IFN Alfacon-1 (CIFN): Toward Bimonthly or Monthly Dosing for Antiviral Therapies. Journal of Interferon & Cytokine Research. 35(8). 621–633. 2 indexed citations
10.
Xie, Wen, et al.. (2015). Evaluation of the Potential Risk of Hepatitis B Virus Transmission in Skin Allografting. Transplantation Proceedings. 47(6). 1993–1997. 4 indexed citations
11.
Zhu, Zhou, et al.. (2015). Chronic treatment with mood stabilizer lithium inhibits amphetamine-induced risk-taking manic-like behaviors. Neuroscience Letters. 603. 84–88. 14 indexed citations
12.
Zhu, Zhou, et al.. (2015). Protein cysteine S-nitrosylation inhibits vesicular uptake of neurotransmitters. Neuroscience. 311. 374–381. 11 indexed citations
13.
Tan, Hua, Kenneth J. Shaw, Jérôme Deval, et al.. (2015). P0682 : Preclinical characterization of AL-335, a potent uridine based nucleoside polymerase inhibitor for the treatment of chronic hepatitis C. Journal of Hepatology. 62. S577–S578. 3 indexed citations
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Zhang, Bo, Hua Tan, Ninglei Sun, et al.. (2008). Maze model to study spatial learning and memory in freely moving monkeys. Journal of Neuroscience Methods. 170(1). 111–116. 8 indexed citations
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Seiwert, Scott D., Steven W. Andrews, Hua Tan, et al.. (2006). 750 Preclinical characteristics of ITMN-B, an orally active inhibitor of the HCV NS3/4A protease nominated for preclinical development. Journal of Hepatology. 44. S278–S278. 17 indexed citations
19.
Che, Yi, et al.. (2005). The effect of prenatal morphine exposure on memory consolidation in the chick. Neuroscience Letters. 380(3). 300–304. 22 indexed citations
20.
Tan, Hua, Jin Tae Hong, W. M. Grosse, et al.. (2005). Global Transcriptional Profiling Demonstrates the Combination of Type I and Type II Interferon Enhances Antiviral and Immune Responses at Clinically Relevant Doses. Journal of Interferon & Cytokine Research. 25(10). 632–649. 29 indexed citations

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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