Zeng Guo
Impact in
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
- Biochemistry top 10%
- Sulfur Compounds in Biology
Papers in
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- Hormonal Regulation and Hypertension 9
- Surgery 4
- Adrenal and Paraganglionic Tumors 3
- Co-authors
- Michael Stowasser (10 shared papers)Brett McWhinney (7 shared papers)Martin Wolley (7 shared papers)Jacobus Ungerer (7 shared papers)Richard D. Gordon (6 shared papers)Ashraf Ahmed (6 shared papers)Marko Poglitsch (6 shared papers)William E. Rainey (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Hypertension (3 papers)Clinical Chemistry (1 paper)Molecular Metabolism (1 paper)Hormone and Metabolic Research (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Zeng Guo
19 papers receiving 593 citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 365
- Biochemistry 44
- Surgery 205
- Cardiology and Cardiovascular Medicine 67
- Endocrine and Autonomic Systems 15
Countries citing papers authored by Zeng Guo
This map shows the geographic impact of Zeng Guo'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 Zeng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeng Guo more than expected).
Fields of papers citing papers by Zeng Guo
This network shows the impact of papers produced by Zeng Guo. 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 Zeng Guo. The network helps show where Zeng Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeng Guo, 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 | 2018 | 134 | |
| 2 | 2018 | 78 | |
| 3 | 2018 | 49 | |
| 4 | 2019 | 48 | |
| 5 | 2020 | 45 | |
| 6 | 1993 | 34 | |
| 7 | 2016 | 32 | |
| 8 | 2015 | 30 | |
| 9 | 2020 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2012 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2014 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2014 | 15 | |
| 16 | 2013 | 5 | |
| 17 | CONCENTRATION OF PROGESTERONE AND 17β-ESTRADIOL IN URINE OF GIANT PANDAS THROUGHOUT THE YEAR | 1994 | 1 |
| 18 | 2019 | 1 | |
| 19 | 2019 | 1 |
About Zeng Guo
Zeng Guo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 19 papers that have together received 596 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (9 papers), Adrenal and Paraganglionic Tumors (3 papers), Sulfur Compounds in Biology (2 papers), Mesenchymal stem cell research (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Fibroblast Growth Factor Research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (365 citations), Biochemistry (44 citations), Surgery (205 citations), Cardiology and Cardiovascular Medicine (67 citations) and Endocrine and Autonomic Systems (15 citations). Zeng Guo has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Michael Stowasser, Brett McWhinney, Martin Wolley, Jacobus Ungerer, Richard D. Gordon, Ashraf Ahmed, Marko Poglitsch, William E. Rainey, Diane Cowley and Ryo Morimoto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension, Clinical Chemistry, Molecular Metabolism and Hormone and Metabolic Research.
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.