Ming-ming Ni
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
-
- Wnt/β-catenin signaling in development and cancer 2
- Circular RNAs in diseases 2
- Sexual Differentiation and Disorders 2
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Tao Xu (8 shared papers)Xiao‐Ming Meng (9 shared papers)Cheng Huang (6 shared papers)Jun Li (4 shared papers)Jun Li (3 shared papers)Jieyu Sun (4 shared papers)Jing Xu (4 shared papers)Yinghua He (2 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Current Pharmaceutical Design (1 paper)Gene (1 paper)Journal of Physiology and Biochemistry (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming-ming Ni
23 papers receiving 450 citations
Peers
Comparison fields: 5 of 92
- Hepatology 73
- Immunology 95
- Cancer Research 54
- Pediatrics, Perinatology and Child Health 64
- Pharmacology 25
Countries citing papers authored by Ming-ming Ni
This map shows the geographic impact of Ming-ming Ni'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 Ming-ming Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-ming Ni more than expected).
Fields of papers citing papers by Ming-ming Ni
This network shows the impact of papers produced by Ming-ming Ni. 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 Ming-ming Ni. The network helps show where Ming-ming Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-ming Ni, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2019 | 60 | |
| 3 | 2018 | 55 | |
| 4 | 2015 | 43 | |
| 5 | 2015 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2014 | 21 | |
| 8 | 2015 | 21 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2015 | 16 | |
| 14 | 2015 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2017 | 7 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Ming-ming Ni
Ming-ming Ni is a scholar working on Molecular Biology, Epidemiology, Hepatology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 454 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Hypothalamic control of reproductive hormones (2 papers), Circular RNAs in diseases (2 papers), Immune Response and Inflammation (2 papers), Sexual Differentiation and Disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Hepatology (73 citations), Immunology (95 citations), Cancer Research (54 citations), Pediatrics, Perinatology and Child Health (64 citations) and Pharmacology (25 citations). Ming-ming Ni has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tao Xu, Xiao‐Ming Meng, Cheng Huang, Jun Li, Jun Li, Jieyu Sun, Jing Xu, Yinghua He, Hong‐Li Guo and Feng Chen. Their work appears in journals such as Frontiers in Pharmacology, Current Pharmaceutical Design, Gene, Journal of Physiology and Biochemistry and The International Journal of Biochemistry & Cell Biology.
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.