Jun Tan

846 total citations
30 papers, 678 citations indexed

About

Jun Tan is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jun Tan has authored 30 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nutrition and Dietetics, 8 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in Jun Tan's work include Biochemical Analysis and Sensing Techniques (6 papers), Selenium in Biological Systems (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Jun Tan is often cited by papers focused on Biochemical Analysis and Sensing Techniques (6 papers), Selenium in Biological Systems (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Jun Tan collaborates with scholars based in China, United States and Malaysia. Jun Tan's co-authors include Alireza Bazargan, Gordon McKay, William A. Goddard, Ravinder Abrol, Gang Hu, Ming Lu, Jianhua Ding, Ren‐Hong Du, Xiyang Sun and Chi Wai Hui and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Membrane Science and Fuel.

In The Last Decade

Jun Tan

26 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Tan China 14 199 153 102 82 70 30 678
Yu Xi China 20 231 1.2× 128 0.8× 151 1.5× 13 0.2× 72 1.0× 68 1.0k
Eliza Blicharska Poland 15 167 0.8× 205 1.3× 132 1.3× 8 0.1× 37 0.5× 56 1.2k
Henrik Rye Lam Denmark 21 256 1.3× 304 2.0× 292 2.9× 46 0.6× 67 1.0× 47 1.9k
Guangxian Wang China 23 703 3.5× 186 1.2× 394 3.9× 41 0.5× 90 1.3× 76 1.7k
Yulu Zhang China 19 232 1.2× 14 0.1× 101 1.0× 20 0.2× 49 0.7× 44 1.1k
Lei Du China 20 295 1.5× 92 0.6× 118 1.2× 10 0.1× 245 3.5× 69 1.1k
Parvaneh Naserzadeh Iran 26 397 2.0× 97 0.6× 212 2.1× 6 0.1× 144 2.1× 64 1.5k
Ruidan Wang China 22 195 1.0× 69 0.5× 83 0.8× 59 0.7× 111 1.6× 55 1.3k
Abbas F. Almulla Iraq 22 218 1.1× 58 0.4× 69 0.7× 19 0.2× 94 1.3× 112 1.5k
Hyung Soo Kim South Korea 17 311 1.6× 27 0.2× 85 0.8× 6 0.1× 65 0.9× 87 1.1k

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tan. A scholar is included among the top collaborators of Jun 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 Jun Tan. Jun 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
1.
Tan, Jun, Abdul Latif Ahmad, Mai‐He Li, et al.. (2025). Modeling water flux in forward osmosis and pressure retarded osmosis accounting for reverse solute flux. Journal of environmental chemical engineering. 13(2). 115871–115871. 3 indexed citations
2.
Gui, Tian, Xiaowei Wu, Yuqin Li, et al.. (2025). Reproducible scale-up of high-selectivity 80-cm-long NaA zeolite membranes via green gel-less conversion method for dehydration of ethanol. Materials & Design. 257. 114524–114524.
3.
He, Lingfeng, Abdullah Amru Indera Luthfi, Noorashikin Md Saleh, et al.. (2025). Microalgae Biodiesel: Advances, Costs, and Potential. Waste and Biomass Valorization. 17(4). 1919–1937.
4.
Tan, Jun, Gopi Krishnan Rajbahadur, Xiangfu Song, et al.. (2025). LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance. 39–50.
5.
Liang, Y.Y., M. Shahabuddin, Shams Forruque Ahmed, Jun Tan, & Syed Mithun Ali. (2025). Optimizing sustainable aviation fuel supply chains: challenges, mitigation strategies and modeling advances. Fuel. 402. 135972–135972. 1 indexed citations
6.
7.
Tan, Jun, et al.. (2024). Hydrophilic modification of feed spacer and its impacts on antifouling performance of reverse osmosis membrane. Asia-Pacific Journal of Chemical Engineering. 19(6). 2 indexed citations
8.
Wu, Xiaowei, Yuqin Li, Xinwei Chen, et al.. (2024). Rapid preparation of high hydrothermal stability Si-rich LTA membrane by hydroxyl radical strategy for separation of high-temperature and water-rich organics. Journal of Membrane Science. 717. 123629–123629. 2 indexed citations
9.
Zhu, Hui, Katarzyna Bierła, Jun Tan, et al.. (2022). Effects of the fermentation process on the selenite metabolism and selenium incorporation and speciation in a probiotic Bifidobacterium longum. Metallomics. 15(1). 2 indexed citations
10.
Xu, Jing, Jun Tan, Shengyan Zhang, et al.. (2022). Zhizhu Kuanzhong, a traditional Chinese medicine, alleviates gastric hypersensitivity and motor dysfunction on a rat model of functional dyspepsia. Frontiers in Pharmacology. 13. 1026660–1026660. 9 indexed citations
11.
Zhao, Dan, Hui Zhu, Fei Gao, et al.. (2020). Antidiabetic effects of selenium-enriched Bifidobacterium longum DD98 in type 2 diabetes model of mice. Food & Function. 11(7). 6528–6541. 54 indexed citations
12.
Zhou, Yan, Hui Zhu, Junliang Zhang, et al.. (2019). Absorption and Distribution of Selenium Following Oral Administration of Selenium-Enriched Bifidobacterium longum DD98, Selenized Yeast, or Sodium Selenite in Rats. Biological Trace Element Research. 197(2). 599–605. 13 indexed citations
13.
14.
Cheng, Chunwei, Jun Tan, Wei Qian, Lei Zhang, & Xiaohua Hou. (2018). Gut inflammation exacerbates hepatic injury in the high-fat diet induced NAFLD mouse: Attention to the gut-vascular barrier dysfunction. Life Sciences. 209. 157–166. 73 indexed citations
15.
Du, Ren‐Hong, Jun Tan, Xiyang Sun, et al.. (2016). Fluoxetine Inhibits NLRP3 Inflammasome Activation: Implication in Depression. The International Journal of Neuropsychopharmacology. 19(9). pyw037–pyw037. 99 indexed citations
16.
Pham, Hung T., Hongxiang Hui, San‐Qi Zhang, et al.. (2016). A bitter pill for type 2 diabetes? The activation of bitter taste receptor TAS2R38 can stimulate GLP-1 release from enteroendocrine L-cells. Biochemical and Biophysical Research Communications. 475(3). 295–300. 45 indexed citations
17.
Parker-Athill, E. Carla, Jared Ehrhart, Jun Tan, & Tanya K. Murphy. (2015). Cytokine Correlations in Youth with Tic Disorders. Journal of Child and Adolescent Psychopharmacology. 25(1). 86–92. 25 indexed citations
18.
Bazargan, Alireza, Jun Tan, Chi Wai Hui, & Gordon McKay. (2014). Utilization of rice husks for the production of oil sorbent materials. Cellulose. 21(3). 1679–1688. 61 indexed citations
19.
Du, Ren‐Hong, Jun Tan, Nan Yan, et al.. (2013). Kir6.2 knockout aggravates lipopolysaccharide-induced mouse liver injury via enhancing NLRP3 inflammasome activation. Journal of Gastroenterology. 49(4). 727–736. 20 indexed citations
20.
Obregon, Demian, E. Carla Parker-Athill, Jun Tan, & Tanya K. Murphy. (2012). Psychotropic effects of antimicrobials and immune modulation by psychotropics: implications for neuroimmune disorders. Neuropsychiatry. 2(4). 331–343. 14 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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