Zhan‐Guo Gao
- Physiology top 0.01%
- Adenosine and Purinergic Signaling 169
- Adipose Tissue and Metabolism 29
- Physiology top 0.2%
- Adenosine and Purinergic Signaling 169
- Adipose Tissue and Metabolism 29
- Molecular Biology top 0.5%
- Receptor Mechanisms and Signaling 118
- Pharmacological Receptor Mechanisms and Effects 85
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 25
- Geriatrics and Gerontology top 0.5%
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- Adipokines, Inflammation, and Metabolic Diseases 20
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- Synthesis and Biological Evaluation 18
- Click Chemistry and Applications 15
- Co-authors
- Kenneth A. JacobsonJianping YeJun YinQing HeRoy J. MartinWilliam T. CefaluJin ZhangMichael Lefevre
- Cited by
- PhysiologyMolecular Biology
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Zhan‐Guo Gao
257 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Physiology 5.6k
- Physiology 3.9k
- Molecular Biology 9.7k
- Cellular and Molecular Neuroscience 2.3k
- Geriatrics and Gerontology 425
Countries citing papers authored by Zhan‐Guo Gao
This map shows the geographic impact of Zhan‐Guo Gao'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 Zhan‐Guo Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan‐Guo Gao more than expected).
Fields of papers citing papers by Zhan‐Guo Gao
This network shows the impact of papers produced by Zhan‐Guo Gao. 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 Zhan‐Guo Gao. The network helps show where Zhan‐Guo Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhan‐Guo Gao, 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 | 2024 | 6 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 61 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 62 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 42 | |
| 15 | 2018 | 27 | |
| 16 | 2018 | 12 | |
| 17 | 2012 | 160 | |
| 18 | Structure of an Agonist-Bound Human A 2A Adenosine Receptorbreakdown → | 2011 | 679 |
| 19 | Exchange of a nuclear corepressor between NF-kappaB and CREB mediates inhibition of phosphoenolpyruvate carboxykinase transcription by NF-kappaB. | 2010 | 2 |
| 20 | 2005 | 122 |
About Zhan‐Guo Gao
Zhan‐Guo Gao is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 259 papers that have together received 16.7k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (169 papers), Receptor Mechanisms and Signaling (118 papers), Pharmacological Receptor Mechanisms and Effects (85 papers), Adipose Tissue and Metabolism (29 papers), Neuropeptides and Animal Physiology (25 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Synthesis and Biological Evaluation (18 papers) and Click Chemistry and Applications (15 papers). The work is most often cited by research in Physiology (5.6k citations), Physiology (3.9k citations) and Molecular Biology (9.7k citations). Zhan‐Guo Gao has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Kenneth A. Jacobson, Jianping Ye, Jun Yin, Qing He, Roy J. Martin, William T. Cefalu, Jin Zhang, Michael Lefevre, Robert E. Ward and Michael J. Quon. Their work appears in journals such as Nature, Science and Cell.
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.