Panpan Tan

690 total citations
30 papers, 543 citations indexed

About

Panpan Tan is a scholar working on Molecular Biology, Water Science and Technology and Epidemiology. According to data from OpenAlex, Panpan Tan has authored 30 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Water Science and Technology and 4 papers in Epidemiology. Recurrent topics in Panpan Tan's work include Fluoride Effects and Removal (12 papers), Anesthesia and Neurotoxicity Research (4 papers) and Bone Metabolism and Diseases (4 papers). Panpan Tan is often cited by papers focused on Fluoride Effects and Removal (12 papers), Anesthesia and Neurotoxicity Research (4 papers) and Bone Metabolism and Diseases (4 papers). Panpan Tan collaborates with scholars based in China, United States and South Korea. Panpan Tan's co-authors include Bian-hua Zhou, Wenpeng Zhao, Hongwei Wang, Jing Liu, Hong-wei Wang, Jing Zhao, Cai Zhang, Yan Zhang, Jianguo Wang and Yong‐Yao Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Environmental Pollution.

In The Last Decade

Panpan Tan

30 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Tan China 14 188 166 91 76 46 30 543
Tao Na China 19 329 1.8× 22 0.1× 32 0.4× 101 1.3× 56 1.2× 48 687
Yongmin Xiong China 14 217 1.2× 14 0.1× 91 1.0× 193 2.5× 21 0.5× 37 533
Hongmei Ning China 14 132 0.7× 113 0.7× 55 0.6× 57 0.8× 10 0.2× 30 398
Juan Lu China 11 425 2.3× 39 0.2× 14 0.2× 36 0.5× 62 1.3× 24 838
Yingli Song China 13 168 0.9× 57 0.3× 27 0.3× 36 0.5× 87 1.9× 25 484
Han‐Hsin Chang Taiwan 14 216 1.1× 8 0.0× 43 0.5× 58 0.8× 19 0.4× 40 612
Hongliang Liu China 10 150 0.8× 94 0.6× 32 0.4× 18 0.2× 12 0.3× 38 403
Xi Shen China 13 233 1.2× 20 0.1× 16 0.2× 13 0.2× 97 2.1× 33 632
Yue Xie China 12 334 1.8× 15 0.1× 26 0.3× 51 0.7× 20 0.4× 25 582
Ira Wolinsky United States 15 131 0.7× 33 0.2× 38 0.4× 110 1.4× 31 0.7× 50 633

Countries citing papers authored by Panpan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Panpan Tan. A scholar is included among the top collaborators of Panpan 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 Panpan Tan. Panpan 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.
Li, Bowen, Chenxu Zhao, Juan J. Loor, et al.. (2023). Effects of perinatal stress on the metabolites and lipids in plasma of dairy goats. SHILAP Revista de lepidopterología. 3(1). 11–11. 4 indexed citations
2.
3.
Huang, Yan, Bingyu Shen, Bowen Li, et al.. (2023). Untargeted metabolomics and lipidomics to assess plasma metabolite changes in dairy goats with subclinical hyperketonemia. Journal of Dairy Science. 106(5). 3692–3705. 6 indexed citations
4.
Zhao, Chenxu, Bingyu Shen, Yan Huang, et al.. (2023). Effects of Chromium Propionate and Calcium Propionate on Lactation Performance and Rumen Microbiota in Postpartum Heat-Stressed Holstein Dairy Cows. Microorganisms. 11(7). 1625–1625. 8 indexed citations
5.
Tan, Panpan, et al.. (2023). A Network Pharmacology and Multi-Omics Combination Approach to Reveal the Effect of Strontium on Ca2+ Metabolism in Bovine Rumen Epithelial Cells. International Journal of Molecular Sciences. 24(11). 9383–9383. 3 indexed citations
6.
Huang, Yan, Chenxu Zhao, Panpan Tan, et al.. (2021). Elucidation of the mechanism of NEFA-induced PERK-eIF2α signaling pathway regulation of lipid metabolism in bovine hepatocytes. The Journal of Steroid Biochemistry and Molecular Biology. 211. 105893–105893. 27 indexed citations
7.
Zhou, Bian-hua, et al.. (2020). Based on G-Series Mouse TH17 Array Study the Effect of Fluoride on C2C12 Cells Cytokines Expression. Biological Trace Element Research. 199(9). 3402–3410. 6 indexed citations
8.
Zhang, Yan, et al.. (2020). Key Role of Pro-inflammatory Cytokines in the Toxic Effect of Fluoride on Hepa1-6 Cells. Biological Trace Element Research. 197(1). 115–122. 4 indexed citations
9.
Wang, Hongwei, et al.. (2019). Mitochondrial respiratory chain dysfunction mediated by ROS is a primary point of fluoride-induced damage in Hepa1-6 cells. Environmental Pollution. 255(Pt 3). 113359–113359. 50 indexed citations
10.
Song, Yun, Ping Yu, Jianrong Xu, et al.. (2019). Carbocisteine Improves Histone Deacetylase 2 Deacetylation Activity via Regulating Sumoylation of Histone Deacetylase 2 in Human Tracheobronchial Epithelial Cells. Frontiers in Pharmacology. 10. 166–166. 12 indexed citations
11.
Wang, Hongwei, Jing Liu, Jing Zhao, et al.. (2018). Ca2+ metabolic disorder and abnormal expression of cardiac troponin involved in fluoride-induced cardiomyocyte damage. Chemosphere. 201. 564–570. 15 indexed citations
12.
Zhou, Bian-hua, et al.. (2018). PI3K/AKT signaling pathway involvement in fluoride-induced apoptosis in C2C12 cells. Chemosphere. 199. 297–302. 43 indexed citations
13.
Zhao, Wenpeng, Hongwei Wang, Jing Liu, et al.. (2018). JNK/STAT signalling pathway is involved in fluoride-induced follicular developmental dysplasia in female mice. Chemosphere. 209. 88–95. 17 indexed citations
14.
Zhao, Wenpeng, Hong-wei Wang, Jing Liu, et al.. (2018). Positive PCNA and Ki-67 Expression in the Testis Correlates with Spermatogenesis Dysfunction in Fluoride-Treated Rats. Biological Trace Element Research. 186(2). 489–497. 53 indexed citations
15.
Wang, Hongwei, et al.. (2017). ATP5J and ATP5H Proactive Expression Correlates with Cardiomyocyte Mitochondrial Dysfunction Induced by Fluoride. Biological Trace Element Research. 180(1). 63–69. 33 indexed citations
16.
Wang, Hongwei, Wenpeng Zhao, Panpan Tan, et al.. (2017). The MMP-9/TIMP-1 System is Involved in Fluoride-Induced Reproductive Dysfunctions in Female Mice. Biological Trace Element Research. 178(2). 253–260. 40 indexed citations
17.
Wang, Hongwei, et al.. (2016). Pro-inflammatory Cytokines Are Involved in Fluoride-Induced Cytotoxic Potential in HeLa Cells. Biological Trace Element Research. 175(1). 98–102. 16 indexed citations
18.
Percy, John R. & Panpan Tan. (2013). Period Changes in RRc Stars. 41(1). 75. 1 indexed citations
19.
Tan, Panpan, Xu Zhu, Yong‐Yao Cui, et al.. (2013). Activation of Muscarinic Receptors Protects against Retinal Neurons Damage and Optic Nerve Degeneration In Vitro and In Vivo Models. CNS Neuroscience & Therapeutics. 20(3). 227–236. 26 indexed citations
20.
Yang, Lan, Panpan Tan, Wei Zhou, et al.. (2012). N-Acetylcysteine Protects Against Hypoxia Mimetic-Induced Autophagy by Targeting the HIF-1α Pathway in Retinal Ganglion Cells. Cellular and Molecular Neurobiology. 32(8). 1275–1285. 35 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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