Mingming Meng

923 citations
16 papers · 762 · 1 hit paper · h-index 9

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • MicroRNA in disease regulation

Papers in

    • Liver Disease and Transplantation 2
    • Liver physiology and pathology 1
    • Colorectal Cancer Screening and Detection 2

Mingming Meng

16 papers receiving 738 citations

Mingming Meng's Hit Papers

Global liver disease burdens and research trends: Analysis from a Chinese perspective 2019 · 453 citations
4530+2+4Years since publication100200300400

Peers

Mingming Meng
Comparison fields: 5 of 73
  • Hepatology 145
  • Cancer Research 124
  • Pharmacology 39
  • Epidemiology 124
  • Pathology and Forensic Medicine 55
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Mingming Meng relative to Yanying Xu China Yanying Xu's profile →
Citations per field
00.5×2×3.1×
Yanying Xu · 1×
Citations per year

Countries citing papers authored by Mingming Meng

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Global liver disease burdens and research trends: Analysis from a Chinese perspective
Hit paper breakdown →
2019453
2 2016164
3 201633
4 201417
5 202016
6 201515
7 202013
8 202012
9 20169
10 20239
11 20126
12 20254
13 20163
14 20223
15 20233
16 20222

About Mingming Meng

Mingming Meng is a scholar working on Hepatology, Oncology, Cancer Research, Surgery and Gastroenterology, having authored 16 papers that have together received 762 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (2 papers), Liver Disease and Transplantation (2 papers), Lung Cancer Treatments and Mutations (1 paper), Ultrasound and Hyperthermia Applications (1 paper), Liver physiology and pathology (1 paper), Liver Disease Diagnosis and Treatment (1 paper), NF-κB Signaling Pathways (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Hepatology (145 citations), Cancer Research (124 citations), Pharmacology (39 citations), Epidemiology (124 citations) and Pathology and Forensic Medicine (55 citations). Mingming Meng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jia Xiao, Cui Li, Fei Wang, Xiaowei Liu, Bin Gao, Nai-Kei Wong, Yanying Xu, Ruijuan Sun, Hong You and Hua Wang. Their work appears in journals such as Tumor Biology, BMC Gastroenterology, Scientific Reports, Journal of Inflammation Research and Journal of Hepatology.

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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