Ping Chen

1.8k total citations
80 papers, 1.4k citations indexed

About

Ping Chen is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ping Chen has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 25 papers in Spectroscopy and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ping Chen's work include Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (20 papers) and Ion channel regulation and function (9 papers). Ping Chen is often cited by papers focused on Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (20 papers) and Ion channel regulation and function (9 papers). Ping Chen collaborates with scholars based in China, United States and Taiwan. Ping Chen's co-authors include Songping Liang, Xianchun Wang, Rui Cao, Jian Zhou, Yong Lin, Ming Lü, Da Duan, Xuanwen Li, Quanze He and Jingyun Xie and has published in prestigious journals such as Journal of Hazardous Materials, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Ping Chen

77 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Chen China 20 876 429 152 117 91 80 1.4k
Mathieu Lavallée‐Adam Canada 21 1.1k 1.2× 185 0.4× 115 0.8× 67 0.6× 279 3.1× 47 1.6k
Šárka Beranová-Giorgianni United States 19 603 0.7× 338 0.8× 43 0.3× 87 0.7× 99 1.1× 41 1.2k
Ulla Rüetschi Sweden 26 1.3k 1.5× 386 0.9× 96 0.6× 92 0.8× 210 2.3× 40 2.1k
Magali Court France 14 1.6k 1.8× 364 0.8× 82 0.5× 384 3.3× 129 1.4× 18 2.1k
Rosendo Estrada United States 18 788 0.9× 240 0.6× 55 0.4× 36 0.3× 113 1.2× 29 1.2k
William A. Hanlon United States 12 660 0.8× 105 0.2× 99 0.7× 143 1.2× 85 0.9× 20 1.4k
Qiangwei Xia United States 24 956 1.1× 420 1.0× 73 0.5× 30 0.3× 163 1.8× 39 1.5k
David K. Han United States 13 926 1.1× 355 0.8× 60 0.4× 133 1.1× 144 1.6× 16 1.3k
Daisuke Nakajima Japan 19 688 0.8× 127 0.3× 133 0.9× 30 0.3× 150 1.6× 47 1.1k
Federica Vincenzoni Italy 22 497 0.6× 124 0.3× 41 0.3× 66 0.6× 67 0.7× 64 1.2k

Countries citing papers authored by Ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Chen. A scholar is included among the top collaborators of Ping 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 Ping Chen. Ping 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.
Xiao, Zixuan, et al.. (2025). Peptidomic profiling of mesenchymal stem cell-derived extracellular vesicles and anti-inflammatory activity of degraded peptides. International Immunopharmacology. 152. 114452–114452. 1 indexed citations
2.
Wang, Mengzhu, Peng Zhou, Huitong Shan, et al.. (2025). Organ-level translocation and tissue-specific accumulation of micro- and nanoplastics in wild birds. Journal of Hazardous Materials. 501. 140738–140738.
3.
Yang, Yuting, Yun Zhang, Changcheng Yang, et al.. (2021). Differential mitochondrial proteomic analysis of A549 cells infected with avian influenza virus subtypes H5 and H9. Virology Journal. 18(1). 39–39. 4 indexed citations
4.
Ge, Lite, Yi Zhuo, Yisong Liu, et al.. (2019). Olfactory ensheathing cells facilitate neurite sprouting and outgrowth by secreting high levels of hevin. Journal of Chemical Neuroanatomy. 104. 101728–101728. 6 indexed citations
5.
Chen, Ping, Qi Lin, Lin Zhao, et al.. (2019). A study of the relationship between human infection with avian influenza a (H5N6) and environmental avian influenza viruses in Fujian, China. BMC Infectious Diseases. 19(1). 762–762. 10 indexed citations
6.
Guo, Xinhong, Jinyan Li, Xiaoqian Liu, et al.. (2018). Quantitative phosphoproteomics of lectin receptor‐like kinase VI.4 dependent abscisic acid response in Arabidopsis thaliana. Physiologia Plantarum. 165(4). 728–745. 9 indexed citations
7.
Shen, Jianying, Jian Zhou, Yong Lin, et al.. (2018). Comparative characterization of rat hippocampal plasma membrane and mitochondrial membrane proteomes based on a sequential digestion-centered combinative strategy. Analytical and Bioanalytical Chemistry. 410(13). 3119–3131. 2 indexed citations
8.
Wang, Mei, Yu Chen, Zhen Guo, et al.. (2018). Changes in the mitochondrial proteome in human hepatocytes in response to alpha-amanitin hepatotoxicity. Toxicon. 156. 34–40. 19 indexed citations
9.
Gao, Jin, et al.. (2016). Effect of propofol anesthesia on the expression of BDNF mRNA and proBDNF/mBDNF in hippocampus and long-term spatial learning/memory functions in neonatal rats. Jiefangjun yixue zazhi. 41(5). 389–394.
10.
Li, Xuanwen, Li Xiong, Chunliang Xie, et al.. (2010). Proteomics analysis of plasma membrane from liver sinusoidal endothelial cells after partial hepatectomy by an improved two-dimensional electrophoresis. Molecular and Cellular Biochemistry. 344(1-2). 137–150. 8 indexed citations
11.
12.
Zhou, Jian, Jixian Xiong, Jianglin Li, et al.. (2010). Gel absorption-based sample preparation for the analysis of membrane proteome by mass spectrometry. Analytical Biochemistry. 404(2). 204–210. 17 indexed citations
13.
Zhou, Jian, Sha Huang, Hai Zhang, et al.. (2009). Analysis of integral membrane proteins by heat gel‐embedment combined with improved in‐gel digestions. Electrophoresis. 30(23). 4109–4117. 9 indexed citations
14.
Lin, Yong, Yan Li, Yi Liu, et al.. (2009). Improvement of gel‐separated protein identification by DMF‐assisted digestion and peptide recovery after electroblotting. Electrophoresis. 30(20). 3626–3635. 16 indexed citations
15.
Li, Xuanwen, Chunliang Xie, Jia Cao, et al.. (2008). An in Vivo Membrane Density Perturbation Strategy for Identification of Liver Sinusoidal Surface Proteome Accessible from the Vasculature. Journal of Proteome Research. 8(1). 123–132. 16 indexed citations
16.
Li, Xuanwen, Qihui Jin, Jia Cao, et al.. (2008). Evaluation of two cell surface modification methods for proteomic analysis of plasma membrane from isolated mouse hepatocytes. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1794(1). 32–41. 15 indexed citations
17.
Chen, Ping, Lijun Zhang, Xuanwen Li, et al.. (2007). Evaluation of strategy for analyzing mouse liver plasma membrane proteome. Science in China Series C Life Sciences. 50(6). 731–738. 6 indexed citations
18.
Zhang, Lijun, Xin Liu, Jian Zhang, et al.. (2005). Proteome analysis of combined effects of androgen and estrogen on the mouse mammary gland. PROTEOMICS. 6(2). 487–497. 12 indexed citations
19.
Huang, Lingyun, et al.. (2004). Proteome comparative analysis of gynogenetic haploid and diploid embryos of goldfish (Carassius auratus). PROTEOMICS. 4(1). 235–243. 14 indexed citations
20.

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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