Simin Tang

1.1k total citations · 1 hit paper
31 papers, 804 citations indexed

About

Simin Tang is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Simin Tang has authored 31 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Cancer Research. Recurrent topics in Simin Tang's work include Pain Mechanisms and Treatments (6 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (3 papers). Simin Tang is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (3 papers). Simin Tang collaborates with scholars based in China and United States. Simin Tang's co-authors include Xueting Deng, Lin Miao, Quanpeng Li, Xianxiu Ge, Jian Zhou, Jun Zhou, Huan Jing, Hongtao Chen, Youling Fan and Zhenxing Huang and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Archives of Biochemistry and Biophysics.

In The Last Decade

Simin Tang

26 papers receiving 788 citations

Hit Papers

Pharmacological basis and new insights of quercetin actio... 2019 2026 2021 2023 2019 100 200 300 400
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. Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects
    2019 483 citations Simin Tang, Xueting Deng et al. Biomedicine & Pharmacotherapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simin Tang China 12 343 112 90 75 72 31 804
Kevin Zhai Qatar 17 419 1.2× 179 1.6× 100 1.1× 69 0.9× 58 0.8× 26 911
Martin Jozef Péč Slovakia 16 380 1.1× 162 1.4× 115 1.3× 40 0.5× 53 0.7× 49 825
Soraya Sajadimajd Iran 14 438 1.3× 76 0.7× 119 1.3× 91 1.2× 63 0.9× 46 957
Xiaominting Song China 8 400 1.2× 104 0.9× 83 0.9× 42 0.6× 50 0.7× 11 846
Nusrat Shafiq Pakistan 16 424 1.2× 123 1.1× 60 0.7× 94 1.3× 54 0.8× 70 1.1k
Peng Chu China 21 581 1.7× 122 1.1× 56 0.6× 81 1.1× 61 0.8× 44 1.1k
Gangjun Du China 19 393 1.1× 116 1.0× 77 0.9× 40 0.5× 43 0.6× 35 846
Sumit Singh Verma India 14 541 1.6× 241 2.2× 58 0.6× 85 1.1× 68 0.9× 24 1.0k
Mohammad Ahmed Khan India 20 473 1.4× 93 0.8× 81 0.9× 98 1.3× 76 1.1× 96 1.4k

Countries citing papers authored by Simin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Simin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Simin Tang. A scholar is included among the top collaborators of Simin Tang 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 Simin Tang. Simin Tang 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.
Lu, Yifan, Rong You, Simin Tang, et al.. (2025). Do serum vitamins, carotenoids, and retinyl esters influence mortality in osteoarthritis? Insights from a nationally representative study. Frontiers in Nutrition. 12. 1609759–1609759.
2.
Wang, Zhichao, Li Lü, Yu Cao, et al.. (2024). Jun modulates endoplasmic reticulum stress-associated ferroptosis in dorsal root ganglia neurons during neuropathic pain by regulating Timp1. Neurochemistry International. 180. 105877–105877. 1 indexed citations
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Zhang, Xiangsheng, et al.. (2023). Identification and validation of biomarkers related to Th1 cell infiltration in neuropathic pain. Journal of Inflammation. 20(1). 19–19.
7.
8.
Jing, Huan, Meijuan Liao, Simin Tang, et al.. (2022). Predicting the risk of acute kidney injury after cardiopulmonary bypass: development and assessment of a new predictive nomogram. BMC Anesthesiology. 22(1). 379–379. 5 indexed citations
9.
Liu, Pei, et al.. (2021). TRESK Regulates Gm11874 to Induce Apoptosis of Spinal Cord Neurons via ATP5i Mediated Oxidative Stress and DNA Damage. Neurochemical Research. 46(8). 1970–1980. 10 indexed citations
10.
Chen, Hongtao, Youling Fan, Huan Jing, et al.. (2020). LncRNA Gm12840 Mediates WISP1 to Regulate Ischemia-Reperfusion-Induced Renal Fibrosis by Sponging miR-677-5p. Epigenomics. 12(24). 2205–2218. 10 indexed citations
11.
Tang, Simin, et al.. (2020). MicroRNAs in the Spinal Microglia Serve Critical Roles in Neuropathic Pain. Molecular Neurobiology. 58(1). 132–142. 19 indexed citations
12.
Tang, Simin, Yi Wang, Wenjun Li, et al.. (2020). Regulation of Ptch1 by miR-342-5p and FoxO3 Induced Autophagy Involved in Renal Fibrosis. Frontiers in Bioengineering and Biotechnology. 8. 583318–583318. 11 indexed citations
13.
Berger, Trish, et al.. (2020). Changes in testicular gene expression following reduced estradiol synthesis: A complex pathway to increased porcine Sertoli cell proliferation. Molecular and Cellular Endocrinology. 523. 111099–111099. 3 indexed citations
14.
Chen, Hongtao, Youling Fan, Huan Jing, Simin Tang, & Jun Zhou. (2020). Emerging role of lncRNAs in renal fibrosis. Archives of Biochemistry and Biophysics. 692. 108530–108530. 20 indexed citations
15.
Berger, Trish, et al.. (2019). Are testicular cortisol and WISP2 involved in estrogen-regulated Sertoli cell proliferation?. Animal Reproduction Science. 207. 44–51. 8 indexed citations
16.
Tang, Simin, Huan Jing, Zhenxing Huang, et al.. (2019). Identification of key candidate genes in neuropathic pain by integrated bioinformatic analysis. Journal of Cellular Biochemistry. 121(2). 1635–1648. 49 indexed citations
17.
Tang, Simin, Jun Zhou, Huan Jing, et al.. (2019). Functional roles of lncRNAs and its potential mechanisms in neuropathic pain. Clinical Epigenetics. 11(1). 78–78. 23 indexed citations
18.
Tang, Simin, Xueting Deng, Jian Zhou, et al.. (2019). Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects. Biomedicine & Pharmacotherapy. 121. 109604–109604. 483 indexed citations breakdown →
19.
Zhou, Jun, Sen Lin, Zhenxing Huang, et al.. (2017). Inhibition of PTEN Activity Aggravates Post Renal Fibrosis in Mice with Ischemia Reperfusion-Induced Acute Kidney Injury. Cellular Physiology and Biochemistry. 43(5). 1841–1854. 25 indexed citations
20.
Li, Chuan‐Hua, Tao Xu, Jian‐Hong Jiang, et al.. (2016). Synthesis, crystal structure and spectroscopic studies of bismuth(III) complex with 2-substituted benzimidazole ligands. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 166. 56–61. 11 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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