Zepeng Ping

574 total citations
21 papers, 477 citations indexed

About

Zepeng Ping is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Zepeng Ping has authored 21 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Zepeng Ping's work include Pregnancy and preeclampsia studies (5 papers), Tuberculosis Research and Epidemiology (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Zepeng Ping is often cited by papers focused on Pregnancy and preeclampsia studies (5 papers), Tuberculosis Research and Epidemiology (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Zepeng Ping collaborates with scholars based in China. Zepeng Ping's co-authors include Liliang Wei, Ji‐Cheng Li, Tingting Jiang, Dandan Xu, Yanyuan Li, Zhongliang Chen, Jiyan Liu, Zhongjie Li, Changming Liu and Zhifen Pan and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Zepeng Ping

20 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zepeng Ping China 12 262 181 161 151 60 21 477
Tongsheng Guo China 12 148 0.6× 121 0.7× 49 0.3× 131 0.9× 102 1.7× 20 464
Zhen-Wei Lang China 10 140 0.5× 182 1.0× 70 0.4× 145 1.0× 44 0.7× 15 432
Yuncheng Li China 14 215 0.8× 171 0.9× 136 0.8× 61 0.4× 37 0.6× 45 546
Mia R. Kumar United States 9 226 0.9× 166 0.9× 161 1.0× 51 0.3× 14 0.2× 9 523
Xueen Liu China 16 339 1.3× 92 0.5× 15 0.1× 584 3.9× 125 2.1× 38 964
Tina Senff Germany 10 147 0.6× 120 0.7× 57 0.4× 41 0.3× 65 1.1× 12 402
Md. Abdullah‐Al‐Kamran Khan Bangladesh 9 175 0.7× 181 1.0× 130 0.8× 42 0.3× 110 1.8× 23 415
Chuanwu Zhu China 14 158 0.6× 146 0.8× 82 0.5× 282 1.9× 75 1.3× 69 643
Jianqiang Guo China 11 164 0.6× 53 0.3× 35 0.2× 75 0.5× 50 0.8× 41 356

Countries citing papers authored by Zepeng Ping

Since Specialization
Citations

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

Fields of papers citing papers by Zepeng Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zepeng Ping

This figure shows the co-authorship network connecting the top 25 collaborators of Zepeng Ping. A scholar is included among the top collaborators of Zepeng Ping 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 Zepeng Ping. Zepeng Ping 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.
Wu, Rongrong, et al.. (2024). Phenylbutyric acid inhibits hypoxia‐induced trophoblast apoptosis and autophagy in preeclampsia via the PERK/ATF‐4/CHOP pathway. Molecular Reproduction and Development. 91(4). e23742–e23742. 3 indexed citations
2.
3.
Ping, Zepeng, et al.. (2023). Integrated analysis of microRNA and mRNA expression profiles in Preeclampsia. BMC Medical Genomics. 16(1). 309–309. 4 indexed citations
4.
Ping, Zepeng, et al.. (2022). NPFFR2 gene compound heterozygous variants associated with preeclampsia identified by whole-exome sequencing. Gene. 854. 147108–147108. 2 indexed citations
5.
Ping, Zepeng, et al.. (2021). Identification and comparison of circular RNAs in preeclampsia. PeerJ. 9. e11299–e11299. 14 indexed citations
6.
Ping, Zepeng, et al.. (2021). A Beckwith-Wiedemann syndrome case with de novo 24 Mb duplication of chromosome 11p15.5p14.3. Molecular Cytogenetics. 14(1). 14–14. 1 indexed citations
7.
Sun, Dandan, et al.. (2021). PLAC1 Regulates the Occurrence of Fetal Growth Restriction by Inhibiting the Apoptosis of Trophoblast Cells.. PubMed. 51(2). 182–189. 4 indexed citations
8.
Wang, Chong, Changming Liu, Liliang Wei, et al.. (2016). A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing. International Journal of Biological Sciences. 12(2). 246–256. 51 indexed citations
9.
Liu, Changming, Lian‐Gen Mao, Zepeng Ping, et al.. (2016). Serum Protein KNG1, APOC3, and PON1 as Potential Biomarkers for Yin‐Deficiency‐Heat Syndrome. Evidence-based Complementary and Alternative Medicine. 2016(1). 5176731–5176731. 12 indexed citations
10.
Wang, Chong, Changming Liu, Liliang Wei, et al.. (2016). A group of novel serum diagnostic biomarkers for multidrug‐resistant tuberculosis by iTRAQ‐2D LC‐MS/MS and Solexa sequencing. The FASEB Journal. 30(S1). 1 indexed citations
11.
Jiang, Tingting, Chong Wang, Liliang Wei, et al.. (2015). Serum protein gamma-glutamyl hydrolase, Ig gamma-3 chain C region, and haptoglobin are associated with the syndromes of pulmonary tuberculosis in traditional Chinese medicine. BMC Complementary and Alternative Medicine. 15(1). 243–243. 16 indexed citations
12.
Xu, Dandan, Chong Wang, Liliang Wei, et al.. (2015). Association of the FCN2 Gene Single Nucleotide Polymorphisms with Susceptibility to Pulmonary Tuberculosis. PLoS ONE. 10(9). e0138356–e0138356. 14 indexed citations
13.
14.
Wang, Chong, Liliang Wei, Liying Shi, et al.. (2015). Screening and identification of five serum proteins as novel potential biomarkers for cured pulmonary tuberculosis. Scientific Reports. 5(1). 15615–15615. 45 indexed citations
15.
Wang, Chong, Yanyuan Li, Xiang Li, et al.. (2014). Serum complement C4b, fibronectin, and prolidase are associated with the pathological changes of pulmonary tuberculosis. BMC Infectious Diseases. 14(1). 52–52. 20 indexed citations
16.
Wang, Chong, Zhong‐Liang Chen, Zhifen Pan, et al.. (2014). NOD2 Polymorphisms and Pulmonary Tuberculosis Susceptibility: A Systematic Review and Meta-Analysis. International Journal of Biological Sciences. 10(1). 103–108. 13 indexed citations
17.
Xu, Dandan, Yanyuan Li, Xiang Li, et al.. (2014). Serum protein S100A9, SOD3, and MMP9 as new diagnostic biomarkers for pulmonary tuberculosis by iTRAQ‐coupled two‐dimensional LC‐MS/MS. PROTEOMICS. 15(1). 58–67. 61 indexed citations
18.
Wang, Jiaxiong, Zepeng Ping, Tingting Jiang, et al.. (2013). Ultrastructure of Lymphatic Stomata in the Tunica Vaginalis of Humans. Microscopy and Microanalysis. 19(6). 1405–1409. 7 indexed citations
19.
Xu, Dandan, Xiang Li, Liliang Wei, et al.. (2013). Discovery and identification of serum potential biomarkers for pulmonary tuberculosis using iTRAQ‐coupled two‐dimensional LC‐MS/MS. PROTEOMICS. 14(2-3). 322–331. 69 indexed citations
20.
Zhang, Xing, Jing Guo, Shufeng Fan, et al.. (2013). Screening and Identification of Six Serum microRNAs as Novel Potential Combination Biomarkers for Pulmonary Tuberculosis Diagnosis. PLoS ONE. 8(12). e81076–e81076. 115 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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