Jun Tan

1.2k total citations
28 papers, 914 citations indexed

About

Jun Tan is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Jun Tan has authored 28 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Jun Tan's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). Jun Tan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). Jun Tan collaborates with scholars based in China, United States and Singapore. Jun Tan's co-authors include R. Douglas Shytle, Terrence Town, Paul R. Sanberg, Paula C. Bickford, Michael Mullan, Fiona Crawford, Kandiah Jeyaseelan, Arunmozhiarasi Armugam, Jared Ehrhart and Yun Bai and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Tan

26 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Tan China	16	379	231	173	169	157	28	914
Hsiao‐Yun Lin Taiwan	22	473 1.2×	237 1.0×	151 0.9×	184 1.1×	171 1.1×	40	1.2k
Juan Ji China	19	576 1.5×	274 1.2×	199 1.2×	144 0.9×	141 0.9×	37	1.2k
Jin Hu China	15	552 1.5×	166 0.7×	145 0.8×	365 2.2×	160 1.0×	30	1.2k
Andrea Pagetta Italy	14	346 0.9×	195 0.8×	78 0.5×	110 0.7×	168 1.1×	26	832
Lisheng Chu China	19	501 1.3×	464 2.0×	143 0.8×	146 0.9×	170 1.1×	43	1.2k
Song Hee Lee South Korea	19	330 0.9×	172 0.7×	85 0.5×	124 0.7×	170 1.1×	47	964
Guangxian Nan China	14	366 1.0×	210 0.9×	146 0.8×	105 0.6×	117 0.7×	40	878

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

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20 of 20 papers shown

Tan, Jun, Yiping Lu, Zehuai Wen, et al.. (2024). Focus on podocytes: diabetic kidney disease and renal fibrosis — a global bibliometric analysis (2000–2024). Frontiers in Pharmacology. 15. 1454586–1454586. 4 indexed citations

Xu, Minxuan, Junjie Zhao, Liancai Zhu, et al.. (2024). Targeting PYK2 with heterobifunctional T6BP helps mitigate MASLD and MASH-HCC progression. Journal of Hepatology. 82(2). 277–300. 4 indexed citations

Tan, Jun, et al.. (2024). EE130 Economic Burden of Seasonal Influenza in Mainland China from 2011 to 2019. Value in Health. 27(6). S81–S81.

Lü, Peng, Jiemeng Tao, Jingjing Jin, et al.. (2022). Metagenomic insights into the changes in the rhizosphere microbial community caused by the root-knot nematode Meloidogyne incognita in tobacco. Environmental Research. 216(Pt 4). 114848–114848. 16 indexed citations

Xu, Minxuan, Jun Tan, Liancai Zhu, et al.. (2022). The deubiquitinating enzyme 13 retards non-alcoholic steatohepatitis via blocking inactive rhomboid protein 2-dependent pathway. Acta Pharmaceutica Sinica B. 13(3). 1071–1092. 16 indexed citations

Tan, Jun, et al.. (2019). Pancreatic β-cell function is inhibited by miR-3666 in type 2 diabetes mellitus by targeting adiponectin. Brazilian Journal of Medical and Biological Research. 52(6). e8344–e8344. 15 indexed citations

Yang, Cui, Fan Fan, Darrell Sawmiller, et al.. (2018). C1q/TNF‐related protein 9: A novel therapeutic target in ischemic stroke?. Journal of Neuroscience Research. 97(2). 128–136. 12 indexed citations

Tan, Jun, et al.. (2017). MicroRNAs regulating cluster of differentiation 46 (CD46) in cardioembolic and non-cardioembolic stroke. PLoS ONE. 12(2). e0172131–e0172131. 13 indexed citations

Tan, Jun, et al.. (2017). Antibiotic tigecycline enhances cisplatin activity against human hepatocellular carcinoma through inducing mitochondrial dysfunction and oxidative damage. Biochemical and Biophysical Research Communications. 483(1). 17–23. 63 indexed citations

10.

Liu, Dong, Huadong Zhou, Yong Tao, et al.. (2016). Alzheimer's Disease is Associated with Increased Risk of Osteoporosis: The Chongqing Aging Study. Current Alzheimer Research. 13(10). 1165–1172. 21 indexed citations

11.

Bickford, Paula C., Yuji Kaneko, Bethany Grimmig, et al.. (2015). Nutraceutical intervention reverses the negative effects of blood from aged rats on stem cells. AGE. 37(5). 103–103. 13 indexed citations

12.

Kaur, Prameet, Jun Tan, Dwi Setyowati Karolina, et al.. (2015). A long non-coding RNA, BC048612 and a microRNA, miR-203 coordinate the gene expression of neuronal growth regulator 1 (NEGR1) adhesion protein. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(4). 533–543. 18 indexed citations

13.

Kim, Seol-Hee, et al.. (2015). MSM ameliorates HIV-1 Tat induced neuronal oxidative stress via rebalance of the glutathione cycle.. PubMed. 7(2). 328–38. 28 indexed citations

14.

Zhou, Rui, Huadong Zhou, Min Cui, et al.. (2013). Association Between Aortic Calcification and the Risk of Osteoporosis in a Chinese Cohort: The Chongqing Osteoporosis Study. Calcified Tissue International. 93(5). 419–425. 6 indexed citations

15.

Bachstetter, Adam D., Jennifer N. Jernberg, Jennifer Vila, et al.. (2010). Spirulina Promotes Stem Cell Genesis and Protects against LPS Induced Declines in Neural Stem Cell Proliferation. PLoS ONE. 5(5). e10496–e10496. 54 indexed citations

16.

Parker-Athill, E. Carla, Brian Giunta, Jun Tian, et al.. (2009). Flavonoids, a prenatal prophylaxis via targeting JAK2/STAT3 signaling to oppose IL-6/MIA associated autism. Journal of Neuroimmunology. 217(1-2). 20–27. 85 indexed citations

17.

Rezai‐Zadeh, Kavon, Jared Ehrhart, Yun Bai, et al.. (2008). Apigenin and luteolin modulate microglial activation via inhibition of STAT1-induced CD40 expression. Journal of Neuroinflammation. 5(1). 41–41. 154 indexed citations

18.

Giunta, Brian, Charurut Somboonwit, William V. Nikolic, et al.. (2007). Psychiatric Implications of Hepatitis-C Infection. PubMed. 19(2-3). 79–118. 12 indexed citations

19.

Town, Terrence, et al.. (2004). Augmented Delayed Infarct Expansion and Reactive Astrocytosis after Permanent Focal Ischemia in Apolipoprotein E4 Knock-In Mice. Journal of Cerebral Blood Flow & Metabolism. 24(6). 646–656. 20 indexed citations

20.

Tan, Jun, Terrence Town, Daniel Paris, et al.. (1999). Activation of microglial cells by the CD40 pathway: relevance to multiple sclerosis. Journal of Neuroimmunology. 97(1-2). 77–85. 72 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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