Qing H. Meng

5.9k citations
148 papers · 4.2k · h-index 36

Impact in

  • Biochemistry top 0.5%
    • Sulfur Compounds in Biology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics

Papers in

    • Circular RNAs in diseases 7
    • RNA modifications and cancer 6
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 9

Qing H. Meng

132 papers receiving 4.1k citations

Peers

Qing H. Meng
Comparison fields: 5 of 150
  • Biochemistry 543
  • Cancer Research 964
  • Clinical Biochemistry 376
  • Oncology 925
  • Physiology 576
Replace Jingjing Li with:
Jingjing Li China
Kan Chen China
Liam R. Brunham Canada
Takamitsu Sasaki Japan
Hiroshi Kono Japan
Desmond J. Fitzgerald Ireland
Mark R. Nicolls United States
Takumi Kawaguchi Japan
Isao Sakaida Japan
Yuguo Chen China
Qing H. Meng relative to Jingjing Li China Jingjing Li's profile →
Citations per field
00.5×2.6×
Jingjing Li · 1×
Citations per year

Countries citing papers authored by Qing H. Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qing H. Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013314
2 2014190
3 2006165
4 2016154
5 2014152
6 2014139
7 2010126
8 2007120
9 2017113
10 2021110
11 201499
12 200795
13 201193
14 201484
15 201377
16 201275
17 201470
18 200869
19 201862
20 201762

About Qing H. Meng

Qing H. Meng is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 148 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (11 papers), Cancer-related molecular mechanisms research (10 papers), Clinical Laboratory Practices and Quality Control (10 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (7 papers), Cancer Cells and Metastasis (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Biochemistry (543 citations), Cancer Research (964 citations), Clinical Biochemistry (376 citations), Oncology (925 citations) and Physiology (576 citations). Qing H. Meng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lingyun Wu, Shulin Li, Rui Wang, Zachary Brownlee, Arun Satelli, Elizabeth A. Wagar, Jianxin Lyu, John Krahn, Abhisek Mitra and Guangdong Yang. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Clinical Biochemistry, Clinical Chemistry and Laboratory Medicine (CCLM) and Cancer Research.

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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