Zeng Guo

817 total citations
19 papers, 572 citations indexed

About

Zeng Guo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Zeng Guo has authored 19 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Zeng Guo's work include Hormonal Regulation and Hypertension (9 papers), Adrenal and Paraganglionic Tumors (7 papers) and Adrenal Hormones and Disorders (4 papers). Zeng Guo is often cited by papers focused on Hormonal Regulation and Hypertension (9 papers), Adrenal and Paraganglionic Tumors (7 papers) and Adrenal Hormones and Disorders (4 papers). Zeng Guo collaborates with scholars based in Australia, China and United States. Zeng Guo's co-authors include Michael Stowasser, Brett McWhinney, Jacobus Ungerer, Martin Wolley, Richard D. Gordon, Ashraf Ahmed, Marko Poglitsch, William E. Rainey, Diane Cowley and Hironobu Sasano and has published in prestigious journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Hypertension.

In The Last Decade

Zeng Guo

19 papers receiving 569 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zeng Guo Australia 15 357 337 107 101 53 19 572
Magdalena González Chile 11 253 0.7× 106 0.3× 142 1.3× 203 2.0× 16 0.3× 16 595
S Rilli Italy 8 425 1.2× 199 0.6× 160 1.5× 114 1.1× 25 0.5× 12 595
Antoine Tarjus France 14 251 0.7× 143 0.4× 132 1.2× 281 2.8× 15 0.3× 16 598
Liliya M. Yamaleyeva United States 18 247 0.7× 139 0.4× 240 2.2× 155 1.5× 11 0.2× 38 833
Martina Tetti Italy 16 642 1.8× 494 1.5× 186 1.7× 178 1.8× 45 0.8× 37 840
Zheng-pei Zeng China 11 160 0.4× 132 0.4× 75 0.7× 80 0.8× 10 0.2× 46 348
Swapnil V. Shewale United States 13 86 0.2× 134 0.4× 134 1.3× 251 2.5× 63 1.2× 19 593
LJ Hirsch Denmark 7 98 0.3× 164 0.5× 42 0.4× 109 1.1× 30 0.6× 14 451
Yihung Huang United States 14 89 0.2× 86 0.3× 106 1.0× 242 2.4× 15 0.3× 21 661
Akinori Hayashi Japan 12 286 0.8× 147 0.4× 78 0.7× 101 1.0× 11 0.2× 38 534

Countries citing papers authored by Zeng Guo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Zeng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zeng Guo. A scholar is included among the top collaborators of Zeng Guo 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 Zeng Guo. Zeng Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Guo, Zeng, Marko Poglitsch, Diane Cowley, et al.. (2020). Effects of Ramipril on the Aldosterone/Renin Ratio and the Aldosterone/Angiotensin II Ratio in Patients With Primary Aldosteronism. Hypertension. 76(2). 488–496. 23 indexed citations
2.
Guo, Zeng, Kazutaka Nanba, Aaron M. Udager, et al.. (2020). Biochemical, Histopathological, and Genetic Characterization of Posture-Responsive and Unresponsive APAs. The Journal of Clinical Endocrinology & Metabolism. 105(9). e3224–e3235. 19 indexed citations
3.
Guo, Zeng, Marko Poglitsch, Brett McWhinney, et al.. (2020). Measurement of Equilibrium Angiotensin II in the Diagnosis of Primary Aldosteronism. Clinical Chemistry. 66(3). 483–492. 42 indexed citations
4.
Domenig, Oliver, Zeng Guo, Thilo Burkard, et al.. (2019). Abstract P3059: ACE S: A NOVEL ANGIOTENSIN BASED MARKER FOR MONITORING PHARMACOLOGIC ACTIVITY OF ACE INHIBITORS IN HYPERTENSIVE PATIENTS. Hypertension. 74(Suppl_1). 1 indexed citations
5.
Thuzar, Moe, Karen Young, Ashraf Ahmed, et al.. (2019). Diagnosis of Primary Aldosteronism by Seated Saline Suppression Test—Variability Between Immunoassay and HPLC-MS/MS. The Journal of Clinical Endocrinology & Metabolism. 105(3). e477–e483. 44 indexed citations
6.
Poglitsch, Marko, Ashraf Ahmed, Zeng Guo, et al.. (2019). IMPROVING HYPERTENSION CONTROL BY MOLECULAR STRATIFICATION OF FIRST-LINE NON-RESPONDERS USING RAAS TRIPLE-A TESTING. Journal of Hypertension. 37. e232–e232. 1 indexed citations
7.
Guo, Zeng, Marko Poglitsch, Brett McWhinney, et al.. (2018). Aldosterone LC-MS/MS Assay-Specific Threshold Values in Screening and Confirmatory Testing for Primary Aldosteronism. The Journal of Clinical Endocrinology & Metabolism. 103(11). 3965–3973. 48 indexed citations
8.
Stowasser, Michael, Ashraf Ahmed, Diane Cowley, et al.. (2018). Comparison of Seated With Recumbent Saline Suppression Testing for the Diagnosis of Primary Aldosteronism. The Journal of Clinical Endocrinology & Metabolism. 103(11). 4113–4124. 74 indexed citations
9.
Omata, Kei, Fumitoshi Satoh, Ryo Morimoto, et al.. (2018). Cellular and Genetic Causes of Idiopathic Hyperaldosteronism. Hypertension. 72(4). 874–880. 126 indexed citations
10.
Stowasser, Michael, Ashraf Ahmed, Zeng Guo, et al.. (2017). Can Screening and Confirmatory Testing in the Management of Patients with Primary Aldosteronism be Improved?. Hormone and Metabolic Research. 49(12). 915–921. 22 indexed citations
11.
Cero, Cheryl, Maria Razzoli, Ruijun Han, et al.. (2016). The neuropeptide TLQP-21 opposes obesity via C3aR1-mediated enhancement of adrenergic-induced lipolysis. Molecular Metabolism. 6(1). 148–158. 32 indexed citations
13.
Li, Congsheng, et al.. (2014). Inhibition of the endogenous CSE/H2S system contributes to hypoxia and serum deprivation-induced apoptosis in mesenchymal stem cells. Molecular Medicine Reports. 9(6). 2467–2472. 16 indexed citations
14.
Guo, Zeng, et al.. (2014). Co-treating mesenchymal stem cells with IL-1β and TNF-α increases VCAM-1 expression and improves post-ischemic myocardial function. Molecular Medicine Reports. 10(2). 792–798. 18 indexed citations
15.
Guo, Zeng, et al.. (2014). Reduction of isoproterenol-induced cardiac hypertrophy and modulation of myocardial connexin43 by a KATP channel agonist. Molecular Medicine Reports. 11(3). 1845–1850. 15 indexed citations
16.
Li, Congsheng, et al.. (2013). Association between C-reactive protein gene +1059 G/C polymorphism and the risk of coronary heart disease: a meta-analysis. Chinese Medical Journal. 126(24). 4780–4785. 5 indexed citations
17.
Wang, Ailing, et al.. (2012). Protective mechanism of nicorandil on rat myocardial ischemia-reperfusion. Journal of Cardiovascular Medicine. 13(8). 511–515. 21 indexed citations
18.
Guo, Zeng & Wei Liu. (1994). CONCENTRATION OF PROGESTERONE AND 17β-ESTRADIOL IN URINE OF GIANT PANDAS THROUGHOUT THE YEAR. Dongwu xuebao. 1 indexed citations
19.
Guo, Zeng, et al.. (1993). Compound-specific carbon isotope ratio determination of enriched cholesterol. Analytical Chemistry. 65(15). 1954–1959. 34 indexed citations

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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