Jing Pan

1.1k total citations
33 papers, 690 citations indexed

About

Jing Pan is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Jing Pan has authored 33 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Nephrology. Recurrent topics in Jing Pan's work include Gout, Hyperuricemia, Uric Acid (4 papers), Pregnancy and preeclampsia studies (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Jing Pan is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (4 papers), Pregnancy and preeclampsia studies (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Jing Pan collaborates with scholars based in China, United States and Japan. Jing Pan's co-authors include Liang Ma, Min Shi, Xijin Wang, Huaibin Cai, Zhang Shi, Yingjie Zhang, Guoqiang Lü, Lipeng Tian, Shengdi Chen and Jianqing Ding and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Jing Pan

30 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Pan China 17 272 123 118 112 108 33 690
Xiang Yao United States 13 339 1.2× 129 1.0× 92 0.8× 126 1.1× 50 0.5× 19 665
Sudhir Kshirsagar United States 14 300 1.1× 97 0.8× 78 0.7× 65 0.6× 32 0.3× 35 631
Cheng‐mao Lin United States 16 397 1.5× 86 0.7× 38 0.3× 169 1.5× 25 0.2× 29 861
Leslie Freeman United States 5 499 1.8× 239 1.9× 44 0.4× 191 1.7× 21 0.2× 5 756
Anandakumar Shunmugavel United States 15 181 0.7× 62 0.5× 68 0.6× 162 1.4× 16 0.1× 20 746
Hak Joo Lee United States 14 370 1.4× 73 0.6× 43 0.4× 22 0.2× 51 0.5× 20 826
Baoshi Yuan China 11 94 0.3× 53 0.4× 53 0.4× 77 0.7× 41 0.4× 14 424
Matthew J. Rogatzki United States 7 270 1.0× 45 0.4× 57 0.5× 30 0.3× 22 0.2× 16 715
Hua Tong China 15 309 1.1× 66 0.5× 68 0.6× 61 0.5× 13 0.1× 35 607
Lijie Feng China 18 400 1.5× 143 1.2× 142 1.2× 150 1.3× 12 0.1× 33 924

Countries citing papers authored by Jing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Pan. A scholar is included among the top collaborators of Jing 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 Jing Pan. Jing 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, Haiyang, Xin Sun, Yan Li, et al.. (2025). Macrophage NLRP3 activation and IL-1β release drive osimertinib-induced antitumor immunity. Journal for ImmunoTherapy of Cancer. 13(10). e012182–e012182. 1 indexed citations
2.
Pan, Jing, et al.. (2025). Histone Modifications and DNA Methylation in Psoriasis: A Cellular Perspective. Clinical Reviews in Allergy & Immunology. 68(1). 6–6. 1 indexed citations
3.
Zheng, Yuhua, Jing Pan, Chenglai Xia, et al.. (2022). Characterization of placental and decidual cell development in early pregnancy loss by single-cell RNA sequencing. Cell & Bioscience. 12(1). 168–168. 7 indexed citations
4.
Cao, Yuwen, Chao Zhang, Ping Zhong, et al.. (2021). Expanding the clinical spectrum of adult-onset neuronal intranuclear inclusion disease. Acta Neurologica Belgica. 122(3). 647–658. 16 indexed citations
5.
Pan, Jing, Min Shi, Fan Guo, Liang Ma, & Ping Fu. (2021). Pharmacologic inhibiting STAT3 delays the progression of kidney fibrosis in hyperuricemia-induced chronic kidney disease. Life Sciences. 285. 119946–119946. 16 indexed citations
6.
Pan, Jing, Xiujuan Tian, Xiaoyan Dong, et al.. (2021). Transcriptomics‐determined chemokine‐cytokine pathway presents a common pathogenic mechanism in pregnancy loss and spontaneous preterm birth. American Journal of Reproductive Immunology. 86(1). e13398–e13398. 16 indexed citations
7.
Pan, Jing, Chunle Zhang, Min Shi, et al.. (2020). Ethanol extract of Liriodendron chinense (Hemsl.) Sarg barks attenuates hyperuricemic nephropathy by inhibiting renal fibrosis and inflammation in mice. Journal of Ethnopharmacology. 264. 113278–113278. 36 indexed citations
8.
Liu, Jing, Fan Guo, Xinrui Li, et al.. (2019). 2-methylquinazoline derivative F7 as a potent and selective HDAC6 inhibitor protected against rhabdomyolysis-induced acute kidney injury. PLoS ONE. 14(10). e0224158–e0224158. 10 indexed citations
9.
10.
Pan, Jing, Min Shi, Lingzhi Li, et al.. (2018). Pterostilbene, a bioactive component of blueberries, alleviates renal fibrosis in a severe mouse model of hyperuricemic nephropathy. Biomedicine & Pharmacotherapy. 109. 1802–1808. 48 indexed citations
11.
Liu, Dongdong, Jing Pan, Deyu Zhao, & Feng Liu. (2018). MicroRNA-223 inhibits deposition of the extracellular matrix by airway smooth muscle cells through targeting IGF-1R in the PI3K/Akt pathway.. PubMed. 10(3). 744–752. 17 indexed citations
12.
Pan, Jing & Huaibin Cai. (2017). Opioid system in L-DOPA-induced dyskinesia. Translational Neurodegeneration. 6(1). 1–1. 37 indexed citations
13.
Gao, Fei, Jing Pan, Chuanlin Yin, et al.. (2016). Cotesia vestalis teratocytes express a diversity of genes and exhibit novel immune functions in parasitism. Scientific Reports. 6(1). 26967–26967. 25 indexed citations
14.
Zhong, Zhaohui, et al.. (2015). [Analysis on the neglected conditions and influence factors of middle school students aged 12 to 17 years old in rural areas of Shaanxi Province and Chongqing City].. PubMed. 44(5). 756–60. 2 indexed citations
15.
Luo, Xiucui, Jing Pan, Leilei Wang, et al.. (2015). Epigenetic regulation of lncRNA connects ubiquitin-proteasome system with infection-inflammation in preterm births and preterm premature rupture of membranes. BMC Pregnancy and Childbirth. 15(1). 35–35. 30 indexed citations
16.
Li, George, et al.. (2014). [The situation of neglect state among elementary and high school students aged 6-17 years in rural areas of two western provinces of China].. PubMed. 48(10). 867–71. 1 indexed citations
17.
Luo, Xiucui, Yang Gu, Jing Pan, et al.. (2013). LncRNA Pathway Involved in Premature Preterm Rupture of Membrane (PPROM): An Epigenomic Approach to Study the Pathogenesis of Reproductive Disorders. PLoS ONE. 8(11). e79897–e79897. 40 indexed citations
18.
Pan, Jing. (2010). Empirical Study of the Effects of China's Knowledge-Based Trade in Service on the Economic Growth. Dalian Ligong Daxue xuebao.
19.
Wang, Gang, Jing Pan, Yuyan Tan, et al.. (2008). Neuroprotective effects of PACAP27 in mice model of Parkinson’s disease involved in the modulation of KATP subunits and D2 receptors in the striatum. Neuropeptides. 42(3). 267–276. 50 indexed citations
20.
Pan, Jing. (2005). International trade in service and China's economic growth: an empirical analysis and some suggestions. Contemporary Finance and Economics.

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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