Ming Ni
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 11
- Molecular Biology Techniques and Applications 8
- Ginseng Biological Effects and Applications 7
- RNA Research and Splicing 6
- Co-authors
- Han AungTong‐Chuan HeChun‐Su YuanRobin TongSangeeta R. MehendaleChong‐Zhi WangXiaochen BoChong-Zhi Wang
- Journals
- World Neurosurgery (6 papers)Briefings in Bioinformatics (4 papers)Frontiers in Immunology (3 papers)Bioinformatics (3 papers)Postharvest Biology and Technology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Ni
113 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 150
- Pharmacology 249
- Molecular Medicine 93
- Molecular Biology 1.1k
- Biological Psychiatry 37
- Ophthalmology 102
Countries citing papers authored by Ming Ni
This map shows the geographic impact of 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 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 Ni more than expected).
Fields of papers citing papers by Ming Ni
This network shows the impact of papers produced by 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 Ni. The network helps show where Ming Ni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 17 | |
| 18 | 2018 | 43 | |
| 19 | 2011 | 18 | |
| 20 | 2010 | 11 |
About Ming Ni
Ming Ni is a scholar working on Molecular Biology, Biochemistry, Cancer Research, Pharmacology and Molecular Medicine, having authored 128 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Pituitary Gland Disorders and Treatments (9 papers), Molecular Biology Techniques and Applications (8 papers), Ginseng Biological Effects and Applications (7 papers), MicroRNA in disease regulation (7 papers), RNA Research and Splicing (6 papers), Nanopore and Nanochannel Transport Studies (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Pharmacology (249 citations), Molecular Medicine (93 citations), Molecular Biology (1.1k citations), Biological Psychiatry (37 citations) and Ophthalmology (102 citations). Ming Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Han Aung, Tong‐Chuan He, Chun‐Su Yuan, Robin Tong, Sangeeta R. Mehendale, Chong‐Zhi Wang, Xiaochen Bo, Chong-Zhi Wang, Chun-Su Yuan and Xiaoji Luo. Their work appears in journals such as World Neurosurgery, Briefings in Bioinformatics, Frontiers in Immunology, Bioinformatics and Postharvest Biology and Technology.
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.