Panpan Chen

2.8k total citations · 1 hit paper
101 papers, 1.8k citations indexed

About

Panpan Chen is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Panpan Chen has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Epidemiology and 12 papers in Oncology. Recurrent topics in Panpan Chen's work include Sperm and Testicular Function (10 papers), Autophagy in Disease and Therapy (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Panpan Chen is often cited by papers focused on Sperm and Testicular Function (10 papers), Autophagy in Disease and Therapy (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Panpan Chen collaborates with scholars based in China, United States and Australia. Panpan Chen's co-authors include Haolin Chen, Barry R. Zirkin, Hui Jin, Yuliang Zhao, Guoqing Zhao, Zhiwei Wu, Zhen Chen, Wanqi Yang, Weidong Yin and Zhiwei Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Panpan Chen

95 papers receiving 1.8k citations

Hit Papers

Safety, tolerability, and immunogenicity of an inactivate... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Chen China 23 556 377 204 196 173 101 1.8k
Meng Lv China 25 657 1.2× 106 0.3× 172 0.8× 369 1.9× 150 0.9× 103 1.8k
Τaxiarchis Κonstantinos Νikolouzakis Greece 16 388 0.7× 225 0.6× 68 0.3× 159 0.8× 74 0.4× 39 1.2k
Mathew Suji Eapen Australia 22 380 0.7× 180 0.5× 144 0.7× 112 0.6× 93 0.5× 68 1.7k
Ying Qin China 17 421 0.8× 157 0.4× 338 1.7× 127 0.6× 59 0.3× 87 1.7k
Manal S. Fawzy Egypt 27 880 1.6× 432 1.1× 205 1.0× 701 3.6× 163 0.9× 177 2.4k
Ying Meng China 24 721 1.3× 184 0.5× 357 1.8× 163 0.8× 179 1.0× 76 1.7k
Xiling Wang China 23 265 0.5× 192 0.5× 413 2.0× 57 0.3× 37 0.2× 65 1.2k
Luis F. Montaño Mexico 28 588 1.1× 114 0.3× 570 2.8× 269 1.4× 231 1.3× 93 2.1k

Countries citing papers authored by Panpan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Panpan Chen. A scholar is included among the top collaborators of Panpan Chen 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 Chen. Panpan Chen 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.
Cui, Zhiyong, Rui Huang, Zonghua Ao, et al.. (2025). Fruit wines classification enabled by combing machine learning with comprehensive volatiles profiles of GC-TOF/MS and GC-IMS. Food Research International. 204. 115890–115890. 8 indexed citations
2.
Hu, Fangfang, Chao Yang, Dan Gao, et al.. (2025). Salvianolic Acid B Promotes Placental and Decidual Angiogenesis by Restoring the Normal Expression of Hypoxia‐Inducible Factor‐1α/Vascular Endothelial Growth Factor in Mice With Recurrent Pregnancy Loss. American Journal of Reproductive Immunology. 94(1). e70105–e70105. 1 indexed citations
4.
Hu, Mengmeng, et al.. (2024). Sintilimab plus GemOx is an effective salvage therapy in patients with refractory/relapsing nodal peripheral T cell lymphomas. Journal of Cancer Research and Clinical Oncology. 150(9). 425–425.
5.
Chen, Panpan, et al.. (2024). Identification of key anti-neuroinflammatory components in Gastrodiae Rhizoma based on spectrum-effect relationships and its mechanism exploration. Journal of Pharmaceutical and Biomedical Analysis. 248. 116266–116266. 8 indexed citations
7.
Qian, Wenbin, Hui Liu, Wen Lei, Linqin Wang, & Panpan Chen. (2024). Long-Term Efficacy and Safety of CD19-Specific CAR-T Cells Armed with IL-7 and CCL19 in Patients with Relapsed or Refractory Large B-Cell Lymphoma: A Multi-Center Prospective Study. Blood. 144(Supplement 1). 2087–2087. 1 indexed citations
8.
Chen, Panpan, Da‐Han Wang, Jiahua Wu, et al.. (2024). RCFormer : Interactive Image Segmentation via Reconstructing Click Vision Transformers. 1–9.
9.
Hao, Yuanyuan, Panpan Chen, Mengyuan Li, et al.. (2023). Tumor-derived exosomes induce initial activation by exosomal CD19 antigen but impair the function of CD19-specific CAR T-cells via TGF-β signaling. Frontiers of Medicine. 18(1). 128–146. 11 indexed citations
10.
Liu, Hui, et al.. (2023). Composite B-cell and T-cell lymphomas: clinical, pathological, and molecular features of three cases and literature review. Journal of Zhejiang University SCIENCE B. 24(8). 711–722. 2 indexed citations
12.
Lin, Yifeng, Panpan Chen, Xiao Sun, et al.. (2023). Exosome-Based Regimen Rescues Endometrial Fibrosis in Intrauterine Adhesions Via Targeting Clinical Fibrosis Biomarkers. Stem Cells Translational Medicine. 12(3). 154–168. 29 indexed citations
13.
Chen, Panpan, Rong Wang, Shengnan Li, et al.. (2023). Schizandrin C regulates lipid metabolism and inflammation in liver fibrosis by NF-κB and p38/ERK MAPK signaling pathways. Frontiers in Pharmacology. 14. 1092151–1092151. 15 indexed citations
14.
Chen, Panpan, Yanying Zhou, Yixin Chen, et al.. (2023). Metabolic Flux Analysis Reveals the Roles of Stearate and Oleate on CPT1C-mediated Tumor Cell Senescence. International Journal of Biological Sciences. 19(7). 2067–2080. 5 indexed citations
15.
Wang, Rong, Shengnan Li, Panpan Chen, et al.. (2022). Salvianolic acid B suppresses hepatic stellate cell activation and liver fibrosis by inhibiting the NF-κB signaling pathway via miR-6499-3p/LncRNA-ROR. Phytomedicine. 107. 154435–154435. 24 indexed citations
16.
Zhou, Zhuanli, Jingyao Li, Naijun Miao, et al.. (2020). RIG-I aggravates interstitial fibrosis via c-Myc-mediated fibroblast activation in UUO mice. Journal of Molecular Medicine. 98(4). 527–540. 23 indexed citations
17.
Zhao, Xingxing, Xin Wen, Panpan Chen, et al.. (2020). Phthalate inhibits Leydig cell differentiation and promotes adipocyte differentiation. Chemosphere. 262. 127855–127855. 8 indexed citations
18.
Chen, Panpan, et al.. (2017). Effects of dietary lysine level on growth performance and serum biochemical parameters of AA Broilers aged from 22 to 42 days.. 39(8). 15–19. 1 indexed citations
19.
Chen, Panpan, et al.. (2017). Effects of dietary lysine level on growth performance and serum biochemical parameters of broilers at the age of 1 to 21 days.. 39(9). 29–34. 2 indexed citations
20.
Tian, Kunming, Panpan Chen, Zhiping Liu, et al.. (2017). Sirtuin 6 inhibits epithelial to mesenchymal transition during idiopathic pulmonary fibrosis via inactivating TGF-β1/Smad3 signaling. Oncotarget. 8(37). 61011–61024. 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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