Ning Mo
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
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- Neuroscience and Neuropharmacology Research 10
- Neuropeptides and Animal Physiology 8
-
- Head and Neck Cancer Studies 2
- Co-authors
- Nae J. Dun (13 shared papers)David I. Wallis (2 shared papers)Alan H. D. Watson (2 shared papers)Keqin Yang (2 shared papers)Qinghua Huang (1 shared paper)Yan Liu (1 shared paper)Jiwen Cheng (1 shared paper)Shanshan Li (1 shared paper)
- Journals
- The Journal of Physiology (4 papers)Brain Research (3 papers)Frontiers in Oncology (2 papers)Molecular Biology and Evolution (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Mo
26 papers receiving 547 citations
Peers
Comparison fields: 5 of 50
- Cellular and Molecular Neuroscience 280
- Endocrine and Autonomic Systems 42
- Cardiology and Cardiovascular Medicine 108
- Genetics 26
- Molecular Biology 129
Countries citing papers authored by Ning Mo
This map shows the geographic impact of Ning Mo'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 Ning Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Mo more than expected).
Fields of papers citing papers by Ning Mo
This network shows the impact of papers produced by Ning Mo. 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 Ning Mo. The network helps show where Ning Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Mo, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 68 | |
| 2 | 1988 | 60 | |
| 3 | 2014 | 49 | |
| 4 | 1984 | 48 | |
| 5 | 2017 | 43 | |
| 6 | 1987 | 38 | |
| 7 | 1987 | 36 | |
| 8 | 1996 | 32 | |
| 9 | 1986 | 29 | |
| 10 | 1986 | 28 | |
| 11 | 1994 | 26 | |
| 12 | 1985 | 22 | |
| 13 | 2016 | 20 | |
| 14 | 1985 | 13 | |
| 15 | 1989 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 1984 | 11 | |
| 18 | 1988 | 8 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 4 |
About Ning Mo
Ning Mo is a scholar working on Cellular and Molecular Neuroscience, Otorhinolaryngology, Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery, having authored 28 papers that have together received 577 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neuropeptides and Animal Physiology (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Ion channel regulation and function (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Head and Neck Cancer Studies (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (280 citations), Endocrine and Autonomic Systems (42 citations), Cardiology and Cardiovascular Medicine (108 citations), Genetics (26 citations) and Molecular Biology (129 citations). Ning Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nae J. Dun, David I. Wallis, Alan H. D. Watson, Keqin Yang, Qinghua Huang, Yan Liu, Jiwen Cheng, Shanshan Li, Nong Li and Aihua Tan. Their work appears in journals such as The Journal of Physiology, Brain Research, Frontiers in Oncology, Molecular Biology and Evolution and BMC Cancer.
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.