Guohong Zhao

1.2k total citations
33 papers, 902 citations indexed

About

Guohong Zhao is a scholar working on Molecular Biology, Ophthalmology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Guohong Zhao has authored 33 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Ophthalmology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Guohong Zhao's work include Glaucoma and retinal disorders (6 papers), Ophthalmology and Eye Disorders (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Guohong Zhao is often cited by papers focused on Glaucoma and retinal disorders (6 papers), Ophthalmology and Eye Disorders (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Guohong Zhao collaborates with scholars based in China, United States and United Kingdom. Guohong Zhao's co-authors include Samuel Klein, Bruce W. Patterson, Li Li, Nizar Elias, David L. Hachey, Jeffrey F. Horowitz, Deanna S. Paramore, Simon W. Coppack, Philip E. Cryer and Kaichun Wu and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Guohong Zhao

28 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohong Zhao China 12 442 195 192 164 162 33 902
Sanae Teshigawara Japan 16 341 0.8× 167 0.9× 180 0.9× 280 1.7× 92 0.6× 30 934
Manjula Karpurapu United States 20 606 1.4× 174 0.9× 196 1.0× 88 0.5× 51 0.3× 38 1.2k
Anna Moles Spain 20 486 1.1× 149 0.8× 150 0.8× 477 2.9× 157 1.0× 29 1.3k
J Kao United States 12 760 1.7× 177 0.9× 177 0.9× 82 0.5× 60 0.4× 12 1.6k
Eduardo López Spain 13 682 1.5× 240 1.2× 111 0.6× 171 1.0× 111 0.7× 17 1.2k
Soo‐Ho Choi United States 18 419 0.9× 80 0.4× 109 0.6× 307 1.9× 56 0.3× 36 1.1k
Nikolina Papac-Miličević Austria 13 326 0.7× 79 0.4× 75 0.4× 271 1.7× 56 0.3× 17 1.1k
Jonathan Y. Xia United States 12 561 1.3× 310 1.6× 71 0.4× 347 2.1× 73 0.5× 14 1.0k
Masaki Akao Japan 12 373 0.8× 182 0.9× 214 1.1× 231 1.4× 61 0.4× 15 977
Elizabeth Bentley United Kingdom 12 597 1.4× 141 0.7× 229 1.2× 66 0.4× 31 0.2× 14 902

Countries citing papers authored by Guohong Zhao

Since Specialization
Citations

This map shows the geographic impact of Guohong Zhao'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 Guohong Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohong Zhao more than expected).

Fields of papers citing papers by Guohong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guohong Zhao. 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 Guohong Zhao. The network helps show where Guohong Zhao may publish in the future.

Co-authorship network of co-authors of Guohong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Guohong Zhao. A scholar is included among the top collaborators of Guohong Zhao 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 Guohong Zhao. Guohong Zhao 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
1.
Zhang, Li, Xinwen Yu, Aili Yang, et al.. (2025). Carbohydrate Quantity vs. Quality in Polycystic Ovary Syndrome: Population-Based Meta-Analysis Combined with GBD Data-Driven Assessment. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 19(8). 103277–103277.
2.
Liang, Shengru, et al.. (2025). Effects of low-dose growth hormone treatment on obesity: a meta-analysis of randomized controlled trials. Postgraduate Medicine. 137(7). 665–675.
3.
Zhao, Guohong, et al.. (2024). The Distribution and Influence Factors of Non-Invasive Tear Film Break-Up Time in Children. Clinical ophthalmology. Volume 18. 2697–2704. 2 indexed citations
4.
5.
6.
Yu, Xinwen, Meiying Wang, Peng Jia, et al.. (2024). Association Between Per- and Polyfluoroalkyl Substance Exposures and Thyroid Homeostasis Parameters. The Journal of Clinical Endocrinology & Metabolism. 110(8). e2723–e2736. 2 indexed citations
7.
Jia, Peng, Xinwen Yu, Xin Wang, et al.. (2024). Relationship between per-fluoroalkyl and polyfluoroalkyl substance exposure and insulin resistance in nondiabetic adults: Evidence from NHANES 2003–2018. Ecotoxicology and Environmental Safety. 287. 117260–117260. 3 indexed citations
8.
Zhao, Guohong, Xiayu Xu, Xinwen Yu, et al.. (2023). Comprehensive retinal vascular measurements: time in range is associated with peripheral retinal venular calibers in type 2 diabetes in China. Acta Diabetologica. 60(9). 1267–1277. 1 indexed citations
9.
Zhao, Guohong, Xinwen Yu, Lin Wang, et al.. (2023). Serum 25-hydroxyvitamin D level is associated with short-term glycemic variability metrics derived from continuous glucose monitoring in T2DM. Scientific Reports. 13(1). 18463–18463. 1 indexed citations
10.
Zhao, Guohong, Jianqin Kang, Guanghui Xu, et al.. (2020). Tunicamycin promotes metastasis through upregulating endoplasmic reticulum stress induced GRP78 expression in thyroid carcinoma. Cell & Bioscience. 10(1). 115–115. 17 indexed citations
11.
Chen, Xiaofeng, et al.. (2020). Chr2 30297612-ALK, A Novel Intergenic Fusion With Exon18 of ALK, Responds to Crizotinib. Clinical Lung Cancer. 21(6). e564–e566. 5 indexed citations
12.
Huang, Ya, et al.. (2017). Influencing factors of glycemic variability in hospitalized type 2 diabetes patients with insulin therapy. Medicine. 96(36). e8021–e8021. 11 indexed citations
13.
Xu, Guanghui, Fan Feng, Guohong Zhao, et al.. (2013). [Effects of esophageal cancer on the nerve fiber growth and guidance].. PubMed. 16(5). 474–8. 2 indexed citations
14.
Zhang, Hui, Lili Liu, Yafang Wang, et al.. (2013). KLF8 involves in TGF-beta-induced EMT and promotes invasion and migration in gastric cancer cells. Journal of Cancer Research and Clinical Oncology. 139(6). 1033–1042. 88 indexed citations
15.
Xu, Guanghui, Shanhong Tang, Jianjun Yang, et al.. (2013). BMP7 Expression in Esophageal Squamous Cell Carcinoma and Its Potential Role in Modulating Metastasis. Digestive Diseases and Sciences. 58(7). 1871–1879. 18 indexed citations
16.
Kang, Jianqin, Guohong Zhao, Tao Lin, et al.. (2013). A peptide derived from phage display library exhibits anti-tumor activity by targeting GRP78 in gastric cancer multidrug resistance cells. Cancer Letters. 339(2). 247–259. 57 indexed citations
17.
Gong, Taiqian, Zengfu Xue, Shanhong Tang, et al.. (2012). Nuclear expression of Twist promotes lymphatic metastasis in esophageal squamous cell carcinoma. Cancer Biology & Therapy. 13(8). 606–613. 23 indexed citations
18.
Wang, Ying, Xiushan Zheng, Zhiyong Zhang, et al.. (2012). MicroRNA-149 Inhibits Proliferation and Cell Cycle Progression through the Targeting of ZBTB2 in Human Gastric Cancer. PLoS ONE. 7(10). e41693–e41693. 95 indexed citations
19.
Zhang, Hong, et al.. (2006). [Relationship between glucocorticoid receptors in the peripheral blood lymphocytes and trabecular meshwork and glucocorticoid induced glaucoma].. PubMed. 42(5). 431–4. 5 indexed citations
20.
Patterson, Bruce W., Guohong Zhao, & Samuel Klein. (1998). Improved accuracy and precision of gas chromatography/mass spectrometry measurements for metabolic tracers. Metabolism. 47(6). 706–712. 72 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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