Ying Pan

1.1k total citations · 1 hit paper
46 papers, 815 citations indexed

About

Ying Pan is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Ying Pan has authored 46 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Ying Pan's work include Cancer-related gene regulation (4 papers), Aquaculture disease management and microbiota (3 papers) and RNA Interference and Gene Delivery (3 papers). Ying Pan is often cited by papers focused on Cancer-related gene regulation (4 papers), Aquaculture disease management and microbiota (3 papers) and RNA Interference and Gene Delivery (3 papers). Ying Pan collaborates with scholars based in China, United States and Malaysia. Ying Pan's co-authors include Yanli Liu, Shenghui Zhang, Juntang Lin, Badrul Hisham Yahaya, Mengyuan Chang, Qin Liu, Gyanu Lamichhane, Xing Wang, Mario A. Bianchet and Ling‐Dong Kong and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Gene.

In The Last Decade

Ying Pan

44 papers receiving 810 citations

Hit Papers

Chemotherapy impairs ovarian function through excessive R... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Pan China 16 335 149 96 96 89 46 815
Lawrence Owusu China 16 466 1.4× 79 0.5× 154 1.6× 70 0.7× 65 0.7× 26 877
Min Jiang China 21 479 1.4× 95 0.6× 107 1.1× 160 1.7× 127 1.4× 46 1.1k
Katalin Veres Hungary 20 302 0.9× 114 0.8× 164 1.7× 218 2.3× 45 0.5× 80 1.2k
Da Pan China 20 348 1.0× 82 0.6× 119 1.2× 92 1.0× 74 0.8× 91 1.4k
Nema Mohamadian Roshan Iran 18 198 0.6× 83 0.6× 116 1.2× 71 0.7× 57 0.6× 66 814
Takamitsu Morioka Japan 18 359 1.1× 67 0.4× 77 0.8× 69 0.7× 144 1.6× 51 924
Jiaqi Zhang China 18 236 0.7× 74 0.5× 77 0.8× 38 0.4× 84 0.9× 136 914
Glenda Nicioli da Silva Brazil 17 367 1.1× 68 0.5× 33 0.3× 52 0.5× 121 1.4× 89 759
Linying Zhou China 15 413 1.2× 124 0.8× 64 0.7× 24 0.3× 64 0.7× 38 796

Countries citing papers authored by Ying Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Pan. A scholar is included among the top collaborators of Ying Pan 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 Ying Pan. Ying Pan 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.
Yu, Jinming, Mingzhu Liu, Mingming Zhao, et al.. (2025). Galla Chinensis as an antiviral agent: Targeting Micropterus salmoides rhabdovirus infection. Fish & Shellfish Immunology. 167. 110675–110675.
2.
Huang, Xiaochen, Xiaomei Lao, Chengyan He, Jia Wang, & Ying Pan. (2024). The mechanism of sevoflurane affecting ovarian cancer cell proliferation and migration by regulating RNA methylase TRDMT1 to activate the β-catenin pathway. Cell Biology and Toxicology. 40(1). 108–108.
4.
Zhang, Shenghui, Badrul Hisham Yahaya, Ying Pan, Yanli Liu, & Juntang Lin. (2023). Menstrual blood-derived endometrial stem cell, a unique and promising alternative in the stem cell-based therapy for chemotherapy-induced premature ovarian insufficiency. Stem Cell Research & Therapy. 14(1). 327–327. 14 indexed citations
5.
Zheng, Jiaying, Jiahui Yang, Xia Liang, et al.. (2023). An improved oral vaccine with molecular adjuvant β-defensin protects grouper against nervous necrosis virus infection. Fish & Shellfish Immunology. 136. 108709–108709. 10 indexed citations
6.
7.
Wang, Jing, Jing Luo, Jing Zhang, et al.. (2023). The rapid inhibition of B-cell activation markers by belimumab was associated with disease control in systemic lupus erythematosus patients. Frontiers in Pharmacology. 14. 1080730–1080730. 4 indexed citations
8.
Zhang, Shenghui, Qin Liu, Mengyuan Chang, et al.. (2023). Chemotherapy impairs ovarian function through excessive ROS-induced ferroptosis. Cell Death and Disease. 14(5). 340–340. 106 indexed citations breakdown →
9.
Pan, Ying, Yang Fang, Yue Chen, et al.. (2022). Associations between particulate matter air pollutants and hospitalization risk for systemic lupus erythematosus: a time-series study from Xi’an, China. Environmental Geochemistry and Health. 45(6). 3317–3330. 7 indexed citations
10.
Wu, Yanglin, Yun Teng, Chenhui Zhang, et al.. (2022). The ketone body β-hydroxybutyrate alleviates CoCrMo alloy particles induced osteolysis by regulating NLRP3 inflammasome and osteoclast differentiation. Journal of Nanobiotechnology. 20(1). 120–120. 36 indexed citations
11.
Pan, Ying, et al.. (2021). Stability and Degradation Kinetics of Anthocyanins from Red Cabbage. 食品工业科技. 42(5). 51–59. 1 indexed citations
12.
Pan, Ying, et al.. (2020). SPD_1495 Contributes to Capsular Polysaccharide Synthesis and Virulence in Streptococcus pneumoniae. mSystems. 5(1). 11 indexed citations
13.
Zhang, Shenghui, Yuliang Sun, Tongtong Chen, et al.. (2020). Construction and Optimization of an Endometrial Injury Model in Mice by Transcervical Ethanol Perfusion. Reproductive Sciences. 28(3). 693–702. 24 indexed citations
14.
Pan, Ying, et al.. (2018). Comprehensive analysis of the lysine acetylome and its potential regulatory roles in the virulence of Streptococcus pneumoniae. Journal of Proteomics. 176. 46–55. 26 indexed citations
15.
Pan, Ying, Xiuran Wang, Xiaoxu Wang, et al.. (2015). Catabolite control protein A has an important role in the metabolic regulation of Streptococcus suis type 2 according to iTRAQ-based quantitative proteomic analysis. Molecular Medicine Reports. 12(4). 5967–5972. 2 indexed citations
16.
Pan, Ying, et al.. (2015). Investigation into the role of catabolite control protein A in the metabolic regulation of Streptococcus suis serotype 2 using gene expression profile analysis. Experimental and Therapeutic Medicine. 10(1). 127–132. 4 indexed citations
17.
Shen, Fang‐Fang, Wenbin Yue, Fuyou Zhou, et al.. (2014). Variations in the MHC Region Confer Risk to Esophageal Squamous Cell Carcinoma on the Subjects from High-Incidence Area in Northern China. PLoS ONE. 9(3). e90438–e90438. 13 indexed citations
18.
Zhou, Fuyou, Ying Pan, Lu Zheng, et al.. (2013). Association between CYP1A1 polymorphisms and esophageal cancer: a meta-analysis. Molecular Biology Reports. 40(10). 6035–6042. 12 indexed citations
19.
Yang, Jun, Shaoping Li, Fang Guo, et al.. (2012). Induction of apoptosis by chitosan/HPV16 E7 siRNA complexes in cervical cancer cells. Molecular Medicine Reports. 7(3). 998–1002. 24 indexed citations
20.
Lu, Shuang, Xin Li, Ji Luo, et al.. (2009). Mass spectrometry analysis of dynamic post-translational modifications of TH2B during spermatogenesis. Molecular Human Reproduction. 15(6). 373–378. 26 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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