Ning Gu
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Pollution top 10%
- Microplastics and Plastic Pollution
Papers in
-
- Receptor Mechanisms and Signaling 7
- Physiology 25
- Adipose Tissue and Metabolism 13
- Pain Mechanisms and Treatments 7
- Co-authors
- Yuri Oh (14 shared papers)Hailong Hu (11 shared papers)Kinsuke Tsuda (13 shared papers)Qiong Wu (14 shared papers)Daqian Yang (10 shared papers)Xingpei Fan (10 shared papers)Boya Zhang (11 shared papers)Xiangjuan Wei (9 shared papers)
- Journals
- Molecular Psychiatry (3 papers)Food and Chemical Toxicology (2 papers)Chemosphere (2 papers)Journal of Molecular Histology (2 papers)Chemico-Biological Interactions (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ning Gu
69 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Physiology 299
- Pollution 124
- Biological Psychiatry 27
- Health, Toxicology and Mutagenesis 136
- Rehabilitation 63
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 125 | |
| 2 | 2015 | 63 | |
| 3 | 2012 | 49 | |
| 4 | 2018 | 41 | |
| 5 | 2002 | 40 | |
| 6 | 2023 | 39 | |
| 7 | 2019 | 38 | |
| 8 | 2007 | 36 | |
| 9 | 2006 | 35 | |
| 10 | 2021 | 33 | |
| 11 | 2009 | 32 | |
| 12 | 2011 | 32 | |
| 13 | 2006 | 30 | |
| 14 | 2009 | 30 | |
| 15 | 2009 | 28 | |
| 16 | 2022 | 26 | |
| 17 | 2010 | 26 | |
| 18 | 2012 | 25 | |
| 19 | 2018 | 25 | |
| 20 | 2021 | 24 |
About Ning Gu
Ning Gu is a scholar working on Molecular Biology, Physiology, Epidemiology, Genetics and Cellular and Molecular Neuroscience, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Receptor Mechanisms and Signaling (7 papers), Pain Mechanisms and Treatments (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Neuropeptides and Animal Physiology (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Genetic Syndromes and Imprinting (5 papers) and Carbon and Quantum Dots Applications (5 papers). The work is most often cited by research in Physiology (299 citations), Pollution (124 citations), Biological Psychiatry (27 citations), Health, Toxicology and Mutagenesis (136 citations) and Rehabilitation (63 citations). Ning Gu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yuri Oh, Hailong Hu, Kinsuke Tsuda, Qiong Wu, Daqian Yang, Xingpei Fan, Boya Zhang, Xiangjuan Wei, Akihiko Ishihara and Ruijiao Zhu. Their work appears in journals such as Molecular Psychiatry, Food and Chemical Toxicology, Chemosphere, Journal of Molecular Histology and Chemico-Biological Interactions.
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.