Ping Mei

681 citations
32 papers · 376 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers

Papers in

Ping Mei

26 papers receiving 372 citations

Peers

Ping Mei
Comparison fields: 5 of 72
  • Cancer Research 104
  • Oncology 86
  • Molecular Biology 177
  • Nephrology 11
  • Pulmonary and Respiratory Medicine 45
Replace Xuxu Gou with:
Xuxu Gou United States
Jiahui Tan China
Hanning Li China
Lu Xing China
Fujiang Xu China
Paul Hoppenz Germany
Han Liu China
Srinivasa R. Rao United Kingdom
Bo Liang China
Ping Mei relative to Xuxu Gou United States Xuxu Gou's profile →
Citations per field
00.5×1.5×2.3×
Xuxu Gou · 1×
Citations per year

Countries citing papers authored by Ping Mei

Since Specialization
Citations

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

Fields of papers citing papers by Ping Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Mei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Mei Line = papers co-authored together Ping Mei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 201279
3 202038
4 201220
5 202019
6 201815
7 201113
8 201911
9 202010
10 201310
11 20229
12 20168
13 20107
14 20207
15 20206
16
[Analysis of diagnosis accuracy of frozen sections in 73 cases of borderline tumor of ovary].
20095
17 20254
18 20144
19
[Diagnostic value of p16INK4a in squamous intraepithelial lesion in gynecologic cytology].
20073
20
[Significance of high-risk human papillomavirus DNA in atypical squamous cells, cannot exclude high-grade squamous intraepithelial lesion].
20092

About Ping Mei

Ping Mei is a scholar working on Molecular Biology, Oncology, Cancer Research, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 376 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Cardiac Health and Mental Health (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cardiac Imaging and Diagnostics (2 papers), Glycosylation and Glycoproteins Research (2 papers), Breast Cancer Treatment Studies (2 papers), Cardiovascular Issues in Pregnancy (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Cancer Research (104 citations), Oncology (86 citations), Molecular Biology (177 citations), Nephrology (11 citations) and Pulmonary and Respiratory Medicine (45 citations). Ping Mei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lai Wei, Zaibo Li, Yan‐Hui Liu, Xin-lan Luo, Fangping Xu, Li‐Xu Yan, Jie Xu, Chao Liu, Donglan Luo and Anil V. Parwani. Their work appears in journals such as Current Cardiology Reports, Diagnostic Pathology, Human Pathology, Journal of Surgical Oncology and Circulation.

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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