Mingming Meng
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver physiology and pathology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
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- Liver Disease and Transplantation 2
- Co-authors
- Ruijuan Sun (1 shared paper)Xiaowei Liu (1 shared paper)Yanying Xu (1 shared paper)Yingxia Liu (1 shared paper)Yinglei Miao (1 shared paper)Wei Li (1 shared paper)Hua Wang (1 shared paper)Kazuo Koike (1 shared paper)
- Journals
- Tumor Biology (2 papers)PLoS ONE (2 papers)BMC Gastroenterology (2 papers)Scientific Reports (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- ChinaPhilippinesJapan
In The Last Decade
Mingming Meng
19 papers receiving 689 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Hepatology 160
- Cancer Research 150
- Epidemiology 267
- Pharmacology 45
- Pathology and Forensic Medicine 80
Countries citing papers authored by Mingming Meng
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global liver disease burdens and research trends: Analysis from a Chinese perspective Hit paper breakdown → | 2019 | 410 |
| 2 | 2016 | 145 | |
| 3 | 2016 | 32 | |
| 4 | 2021 | 18 | |
| 5 | 2014 | 16 | |
| 6 | 2015 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2012 | 6 | |
| 13 | 2022 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2008 | 1 |
About Mingming Meng
Mingming Meng is a scholar working on Hepatology, Gastroenterology, Management of Technology and Innovation, Oncology and Surgery, having authored 22 papers that have together received 695 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Firm Innovation and Growth (2 papers), Vascular Malformations and Hemangiomas (2 papers), Colorectal Cancer Screening and Detection (2 papers), Entrepreneurship Studies and Influences (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (160 citations), Cancer Research (150 citations), Epidemiology (267 citations), Pharmacology (45 citations) and Pathology and Forensic Medicine (80 citations). Mingming Meng has collaborated with scholars based in China, Philippines and Japan. Frequent co-authors include Ruijuan Sun, Xiaowei Liu, Yanying Xu, Yingxia Liu, Yinglei Miao, Wei Li, Hua Wang, Kazuo Koike, Nai-Kei Wong and Zhang Rui. Their work appears in journals such as Tumor Biology, PLoS ONE, BMC Gastroenterology, Scientific Reports 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.