Jing Pan

6.7k total citations · 2 hit papers
110 papers, 5.1k citations indexed

About

Jing Pan is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing Pan has authored 110 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 22 papers in Physiology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing Pan's work include Parkinson's Disease Mechanisms and Treatments (11 papers), Retinoids in leukemia and cellular processes (9 papers) and Cervical Cancer and HPV Research (6 papers). Jing Pan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), Retinoids in leukemia and cellular processes (9 papers) and Cervical Cancer and HPV Research (6 papers). Jing Pan collaborates with scholars based in China, United States and Hong Kong. Jing Pan's co-authors include Toshiyuki Takahashi, Keiichi Fukuda, Hiroaki Kodama, Shinji Makino, Satoshi Ogawa, Kenneth M. Baker, Hitoshi Abe, Akihiro Umezawa, Jun-ichi Hata and Fusako Konishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jing Pan

108 papers receiving 5.0k citations

Hit Papers

Cardiomyocytes can be generated from marrow stromal cells... 1999 2026 2008 2017 1999 2021 400 800 1.2k

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 36 2.1k 1.2k 1.0k 618 539 110 5.1k
Woei‐Cherng Shyu Taiwan 38 2.4k 1.1× 813 0.7× 1.5k 1.4× 447 0.7× 425 0.8× 148 5.8k
Antonia Follenzi Italy 48 4.6k 2.1× 1.2k 1.0× 762 0.7× 839 1.4× 251 0.5× 156 8.9k
Jean‐Jacques Feige France 52 4.4k 2.1× 1.2k 1.0× 939 0.9× 363 0.6× 117 0.2× 198 8.4k
Ernst J. Wolvetang Australia 47 5.4k 2.5× 970 0.8× 447 0.4× 727 1.2× 213 0.4× 162 8.1k
Carlo Gaetano Italy 50 4.1k 1.9× 615 0.5× 344 0.3× 755 1.2× 125 0.2× 149 6.1k
Lizzia Raffaghello Italy 42 2.5k 1.2× 423 0.3× 689 0.7× 968 1.6× 194 0.4× 101 6.3k
Matthew L. Springer United States 36 2.6k 1.2× 1.2k 1.0× 508 0.5× 684 1.1× 687 1.3× 81 5.1k
Fabio Martelli Italy 55 7.2k 3.4× 742 0.6× 388 0.4× 747 1.2× 158 0.3× 156 9.8k
Kenji Miki Japan 30 1.5k 0.7× 1.0k 0.9× 175 0.2× 1.1k 1.8× 329 0.6× 72 3.6k
Nobutaka Shimizu Japan 41 3.0k 1.4× 654 0.5× 637 0.6× 325 0.5× 97 0.2× 224 8.0k

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.
Pan, Jing, et al.. (2025). Angiotensin II: A novel biomarker in vascular diseases. Clinica Chimica Acta. 568. 120154–120154. 3 indexed citations
2.
Zhang, Kecun, Jing Pan, Zhishan An, Yu Zhang, & Yanping Yu. (2024). Effects of alpine meadow degradation on the soil physical and chemical properties in Maqu, China. 16(6). 269–277. 3 indexed citations
3.
Pan, Jing, et al.. (2023). Identification of novel lactate metabolism-related lncRNAs with prognostic value for bladder cancer. Frontiers in Pharmacology. 14. 1215296–1215296. 1 indexed citations
5.
Pan, Jing, et al.. (2021). Melatonin-Medicated Neural JNK3 Up-Regulation Promotes Ameloblastic Mineralization. Frontiers in Cell and Developmental Biology. 9. 749642–749642. 5 indexed citations
6.
Yu‐Lee, Li‐Yuan, Yu-Chen Lee, Jing Pan, et al.. (2019). Bone secreted factors induce cellular quiescence in prostate cancer cells. Scientific Reports. 9(1). 18635–18635. 30 indexed citations
7.
Yu‐Lee, Li‐Yuan, Guoyu Yu, Yu‐Chen Lee, et al.. (2018). Osteoblast-Secreted Factors Mediate Dormancy of Metastatic Prostate Cancer in the Bone via Activation of the TGFβRIII–p38MAPK–pS249/T252RB Pathway. Cancer Research. 78(11). 2911–2924. 126 indexed citations
9.
Pan, Jing, Lin Xu, TH Lam, et al.. (2018). Relationship between pulmonary function and peripheral vascular function in older Chinese: Guangzhou biobank cohort study-CVD. BMC Pulmonary Medicine. 18(1). 74–74. 7 indexed citations
10.
Chen, Caihua, Jing Pan, Yuqin Di, et al.. (2017). Protein kinase C delta phosphorylates ecdysone receptor B1 to promote gene expression and apoptosis under 20-hydroxyecdysone regulation. Proceedings of the National Academy of Sciences. 114(34). E7121–E7130. 32 indexed citations
11.
Sgobio, Carmelo, Junbing Wu, Wang Zheng, et al.. (2017). Aldehyde dehydrogenase 1–positive nigrostriatal dopaminergic fibers exhibit distinct projection pattern and dopamine release dynamics at mouse dorsal striatum. Scientific Reports. 7(1). 5283–5283. 29 indexed citations
12.
Pan, Jing, Peng Zhao, Hao Cai, et al.. (2015). Hypoxemia, Sleep Disturbances, and Depression Correlated with Fatigue in Neuromyelitis Optica Spectrum Disorder. CNS Neuroscience & Therapeutics. 21(7). 599–606. 38 indexed citations
13.
Calias, Pericles, Mikhail Papisov, Jing Pan, et al.. (2012). CNS Penetration of Intrathecal-Lumbar Idursulfase in the Monkey, Dog and Mouse: Implications for Neurological Outcomes of Lysosomal Storage Disorder. PLoS ONE. 7(1). e30341–e30341. 104 indexed citations
14.
Chen, Daiwen, Yu Zhang, Wei Chen, et al.. (2012). Association study of SCARB2 rs6812193 polymorphism with Parkinson's disease in Han Chinese. Neuroscience Letters. 516(1). 21–23. 14 indexed citations
15.
Pan, Jing, Thomas W. Small, Shawn Li, et al.. (2010). Comparison of the NIDS® rapid assay with ELISA methods in immunogenicity testing of two biotherapeutics. Journal of Pharmacological and Toxicological Methods. 63(2). 150–159. 5 indexed citations
16.
Yuan, Yuan, et al.. (2007). [Differentiation phenotypes of k562 cells induced by exogenous wnt5a].. PubMed. 15(5). 946–9. 1 indexed citations
17.
Pan, Jing & Kenneth M. Baker. (2007). Retinoic Acid and the Heart. Vitamins and hormones. 75. 257–283. 75 indexed citations
18.
Yang, Hongqi, Maowen Ba, Ru‐Jing Ren, et al.. (2006). Mitogen activated protein kinase and protein kinase C activation mediate promotion of sAPPα secretion by deprenyl. Neurochemistry International. 50(1). 74–82. 20 indexed citations
20.
Sun, Zijie, et al.. (1999). Tumor susceptibility gene 101 protein represses androgen receptor transactivation and interacts with p300. Cancer. 86(4). 689–696. 75 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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