Jin Tan

3.5k total citations · 2 hit papers
46 papers, 2.8k citations indexed

About

Jin Tan is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Jin Tan has authored 46 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Epidemiology and 15 papers in Cancer Research. Recurrent topics in Jin Tan's work include Autophagy in Disease and Therapy (18 papers), Extracellular vesicles in disease (12 papers) and MicroRNA in disease regulation (9 papers). Jin Tan is often cited by papers focused on Autophagy in Disease and Therapy (18 papers), Extracellular vesicles in disease (12 papers) and MicroRNA in disease regulation (9 papers). Jin Tan collaborates with scholars based in China, United States and Bangladesh. Jin Tan's co-authors include Yuyang Miao, Qiang Zhang, Shuling Song, Lulu Li, Ping Lei, Mengmeng Li, Zhaoli Han, Fanglian Chen, Xintong Ge and Ping Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Controlled Release.

In The Last Decade

Jin Tan

44 papers receiving 2.8k citations

Hit Papers

ROS and Autophagy: Interactions and Molecular Regulatory ... 2015 2026 2018 2022 2015 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Tan China 24 1.5k 1.1k 546 406 314 46 2.8k
Valentina Gatti Italy 13 1.7k 1.2× 1.0k 1.0× 293 0.5× 251 0.6× 385 1.2× 23 4.1k
Giulia Raina Italy 13 1.8k 1.2× 1.1k 1.0× 294 0.5× 269 0.7× 424 1.4× 15 3.9k
Diego Vezzola Italy 9 1.7k 1.2× 1.1k 1.0× 289 0.5× 255 0.6× 381 1.2× 14 3.8k
José M. Vicencio United Kingdom 28 2.3k 1.6× 925 0.8× 696 1.3× 542 1.3× 389 1.2× 40 3.7k
Chao Liu China 31 1.5k 1.0× 620 0.6× 234 0.4× 468 1.2× 228 0.7× 121 2.8k
Cláudia Piccoli Italy 33 1.6k 1.1× 558 0.5× 443 0.8× 204 0.5× 366 1.2× 88 3.3k
Juha M. T. Hyttinen Finland 29 1.8k 1.3× 823 0.8× 332 0.6× 753 1.9× 351 1.1× 62 3.4k
Eiji Warabi Japan 31 1.5k 1.1× 651 0.6× 190 0.3× 274 0.7× 438 1.4× 81 2.8k
Seon‐Yong Jeong South Korea 25 3.4k 2.4× 712 0.7× 342 0.6× 354 0.9× 578 1.8× 79 4.6k
Rohit A. Sinha India 37 1.6k 1.1× 1.8k 1.7× 386 0.7× 372 0.9× 776 2.5× 115 4.4k

Countries citing papers authored by Jin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tan. A scholar is included among the top collaborators of Jin 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 Jin Tan. Jin 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.
Sun, Yang, et al.. (2025). The use of Xenon magnetic lipid bubbles to detect and treat intermittent hypoxia-induced cognitive impairment. Journal of Controlled Release. 389. 114478–114478.
2.
Li, Xuerui, et al.. (2025). Combined effect of fasting blood glucose and serum uric acid on nonalcoholic fatty liver disease. Lipids in Health and Disease. 24(1). 168–168. 1 indexed citations
3.
Wu, Ruihong, Ni Li, Xian Wang, et al.. (2024). Mouse model of Graves’ orbitopathy induced by the immunization with TSHR A and IGF-1R α subunit gene. Journal of Endocrinological Investigation. 47(10). 2507–2519. 3 indexed citations
4.
Yang, Xueyan, et al.. (2023). Ox‐LDL aggravates contrast‐induced injury of renal tubular epithelial cells. Journal of Biochemical and Molecular Toxicology. 37(8). e23379–e23379. 5 indexed citations
6.
Miao, Yuyang, et al.. (2023). Association of modifiable risk factors with obstructive sleep apnea: a Mendelian randomization study. Aging. 15(23). 14039–14065. 11 indexed citations
7.
Wang, Shuying, Jin Tan, Yuyang Miao, & Qingjiong Zhang. (2022). Mitochondrial Dynamics, Mitophagy, and Mitochondria–Endoplasmic Reticulum Contact Sites Crosstalk Under Hypoxia. Frontiers in Cell and Developmental Biology. 10. 848214–848214. 62 indexed citations
8.
Tan, Jin, et al.. (2021). Crosstalk between exosomes and autophagy: A review of molecular mechanisms and therapies. Journal of Cellular and Molecular Medicine. 25(5). 2297–2308. 65 indexed citations
9.
Tan, Jin, et al.. (2021). The Role of Autophagy in Hypoxia-Induced Neuroinflammation. DNA and Cell Biology. 40(6). 733–739. 17 indexed citations
10.
Sun, Yang, Jin Tan, Yuyang Miao, & Qiang Zhang. (2021). The role of PD-L1 in the immune dysfunction that mediates hypoxia-induced multiple organ injury. Cell Communication and Signaling. 19(1). 76–76. 25 indexed citations
11.
Tan, Jin, et al.. (2021). Analysis of Circulating Microvesicles Levels and Effects of Associated Factors in Elderly Patients With Obstructive Sleep Apnea. Frontiers in Aging Neuroscience. 13. 609282–609282. 5 indexed citations
12.
Tan, Jin, et al.. (2019). The role of microvesicles and its active molecules in regulating cellular biology. Journal of Cellular and Molecular Medicine. 23(12). 7894–7904. 54 indexed citations
13.
Guo, Ying, et al.. (2019). Effects of Microvesicles on Cell Apoptosis under Hypoxia. Oxidative Medicine and Cellular Longevity. 2019. 1–11. 47 indexed citations
14.
Li, Dai, Shan Huang, Zhenyu Yin, et al.. (2019). Increases in miR-124-3p in Microglial Exosomes Confer Neuroprotective Effects by Targeting FIP200-Mediated Neuronal Autophagy Following Traumatic Brain Injury. Neurochemical Research. 44(8). 1903–1923. 108 indexed citations
15.
Song, Shuling, et al.. (2018). Intermittent-Hypoxia-Induced Autophagy Activation Through the ER-Stress-Related PERK/eIF2α/ATF4 Pathway is a Protective Response to Pancreatic β-Cell Apoptosis. Cellular Physiology and Biochemistry. 51(6). 2955–2971. 48 indexed citations
16.
Tan, Jin, et al.. (2016). Sirt1: Role Under the Condition of Ischemia/Hypoxia. Cellular and Molecular Neurobiology. 37(1). 17–28. 122 indexed citations
17.
Han, Zhaoli, Xintong Ge, Jin Tan, et al.. (2015). Establishment of Lipofection Protocol for Efficient miR-21 Transfection into Cortical Neurons In Vitro. DNA and Cell Biology. 34(12). 703–709. 23 indexed citations
18.
Li, Lulu, Jin Tan, Yuyang Miao, Ping Lei, & Qiang Zhang. (2015). ROS and Autophagy: Interactions and Molecular Regulatory Mechanisms. Cellular and Molecular Neurobiology. 35(5). 615–621. 717 indexed citations breakdown →
19.
Li, Mengmeng, Jin Tan, Yuyang Miao, Ping Lei, & Qiang Zhang. (2015). The dual role of autophagy under hypoxia-involvement of interaction between autophagy and apoptosis. APOPTOSIS. 20(6). 769–777. 82 indexed citations
20.
Tan, Jin, et al.. (2014). Intermittent hypoxia-induced rat pancreatic β-cell apoptosis and protective effects of antioxidant intervention. Nutrition and Diabetes. 4(9). e131–e131. 32 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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