Ping Meng

2.2k citations
81 papers · 1.7k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Drug Solubulity and Delivery Systems
    • Advanced Drug Delivery Systems

Papers in

Ping Meng

78 papers receiving 1.6k citations

Peers

Ping Meng
Comparison fields: 5 of 136
  • Cancer Research 298
  • Pharmaceutical Science 129
  • Microbiology 74
  • Molecular Biology 712
  • Nephrology 59
Replace William K. Chan with:
William K. Chan United States
Sun Joo Lee South Korea
Zhongyuan Wang China
Wojciech Miltyk Poland
Si Chen China
Yuzhen Wang China
Stéphan Chevalier France
Jean‐Louis Paul France
Xu Ma China
Noriko Iwamoto Japan
Ping Meng relative to William K. Chan United States William K. Chan's profile →
Citations per field
00.5×4.7×
William K. Chan · 1×
Citations per year

Countries citing papers authored by Ping Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ping Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Meng, 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 Meng Line = papers co-authored together Ping Meng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010201
2 2021125
3 2009125
4 2015104
5 201583
6 202048
7 201746
8 201945
9 201845
10 200942
11 201338
12 202233
13 201831
14 201429
15 202029
16 201928
17 202027
18 202023
19 202223
20 202220

About Ping Meng

Ping Meng is a scholar working on Molecular Biology, Immunology, Genetics, Nephrology and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (6 papers), RNA Research and Splicing (3 papers), Prostate Cancer Treatment and Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Zebrafish Biomedical Research Applications (3 papers), Renal cell carcinoma treatment (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Cancer Research (298 citations), Pharmaceutical Science (129 citations), Microbiology (74 citations), Molecular Biology (712 citations) and Nephrology (59 citations). Ping Meng has collaborated with scholars based in China, Grenada and United States. Frequent co-authors include Lili Zhou, Weijun Qin, Fuli Wang, Xiaoping Pan, Feng Xiao, Ren Lai, Sumei Li, Jianlin Yuan, Yunfang Zhang and Mingqiang Rong. Their work appears in journals such as Medicine, Frontiers in Oncology, Frontiers in Pharmacology, Scientific Reports and Andrology.

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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