Zhan‐Guo Gao

20.8k citations
259 papers · 16.7k indexed · 5 hit papers · h-index 63
Topics
Adenosine and Purinergic Signaling (169 papers)Receptor Mechanisms and Signaling (118 papers)Pharmacological Receptor Mechanisms and Effects (85 papers)

In The Last Decade

Zhan‐Guo Gao

257 papers receiving 16.4k citations

Hit Papers

Butyrate Improves Insulin Sensitivity and Increases Energ...20022026201020182009200620072011200250010001.5k

Peers

Zhan‐Guo Gao
Comparison fields: 5 of 138
  • Molecular Biology 9.7k
  • Physiology 5.6k
  • Physiology 3.9k
  • Epidemiology 2.6k
  • Cellular and Molecular Neuroscience 2.3k
Replace Guy A. Rutter with:
Guy A. Rutter United Kingdom
Ludwig Missiaen Belgium
László Virág Hungary
Mariusz R. Wiȩckowski Poland
Andrew L. Salzman United States
Décio L. Eizirik Belgium
Claudio Hetz Chile
Amira Klip Canada
Riekelt H. Houtkooper Netherlands
Michael A. Beaven United States
Zhan‐Guo Gao relative to Guy A. Rutter United Kingdom Guy A. Rutter's profile →
Citations per field
00.5×4.9×
Guy A. Rutter · 1×
Citations per year

Countries citing papers authored by Zhan‐Guo Gao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Zhan‐Guo Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan‐Guo Gao. A scholar is included among the top collaborators of Zhan‐Guo Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhan‐Guo Gao. Zhan‐Guo Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 12
3 0
4 18
5 5
6 12
7 14
8 61
9 6
10 29
11 17
12 62
13 16
14 42
15 27
16 12
17 160
18
Structure of an Agonist-Bound Human A 2A Adenosine Receptorbreakdown →
679
19
Exchange of a nuclear corepressor between NF-kappaB and CREB mediates inhibition of phosphoenolpyruvate carboxykinase transcription by NF-kappaB.
2
20 122

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) and Pharmacological Receptor Mechanisms and Effects (85 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.

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