Ning Gu
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
- Physiology 21
- Adipose Tissue and Metabolism 10
- Pain Mechanisms and Treatments 6
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- Epigenetics and DNA Methylation 5
- Co-authors
- Yuri Oh (14 shared papers)Hailong Hu (11 shared papers)Kinsuke Tsuda (13 shared papers)Lin He (8 shared papers)Qiong Wu (14 shared papers)Xingpei Fan (10 shared papers)Boya Zhang (11 shared papers)Guo Yin Feng (3 shared papers)
- Journals
- Molecular Psychiatry (7 papers)Chemosphere (2 papers)Biochemical and Biophysical Research Communications (2 papers)Food and Chemical Toxicology (2 papers)Neuropeptides (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ning Gu
74 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Biological Psychiatry 32
- Physiology 289
- Pollution 132
- Rehabilitation 61
- Health, Toxicology and Mutagenesis 132
Countries citing papers authored by Ning Gu
This map shows the geographic impact of Ning Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Gu more than expected).
Fields of papers citing papers by Ning Gu
This network shows the impact of papers produced by Ning Gu. 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 Gu. The network helps show where Ning Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Gu, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 138 | |
| 2 | 2003 | 136 | |
| 3 | 2003 | 96 | |
| 4 | 2015 | 66 | |
| 5 | 2023 | 54 | |
| 6 | 2012 | 52 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 43 | |
| 9 | 2002 | 42 | |
| 10 | 2007 | 39 | |
| 11 | 2021 | 38 | |
| 12 | 2006 | 35 | |
| 13 | 2011 | 33 | |
| 14 | 2009 | 32 | |
| 15 | 2009 | 32 | |
| 16 | 2002 | 30 | |
| 17 | 2006 | 30 | |
| 18 | 2009 | 29 | |
| 19 | 2004 | 27 | |
| 20 | 2010 | 27 |
About Ning Gu
Ning Gu is a scholar working on Physiology, Molecular Biology, Cell Biology, Genetics and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Neuropeptides and Animal Physiology (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pain Mechanisms and Treatments (6 papers), Carbon and Quantum Dots Applications (5 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Syndromes and Imprinting (5 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Physiology (289 citations), Pollution (132 citations), Rehabilitation (61 citations) and Health, Toxicology and Mutagenesis (132 citations). Ning Gu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yuri Oh, Hailong Hu, Kinsuke Tsuda, Lin He, Qiong Wu, Xingpei Fan, Boya Zhang, Guo Yin Feng, Daqian Yang and Xiangjuan Wei. Their work appears in journals such as Molecular Psychiatry, Chemosphere, Biochemical and Biophysical Research Communications, Food and Chemical Toxicology and Neuropeptides.
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.