Jingbo Zhao

842 total citations
46 papers, 560 citations indexed

About

Jingbo Zhao is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Jingbo Zhao has authored 46 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Cardiology and Cardiovascular Medicine and 8 papers in Genetics. Recurrent topics in Jingbo Zhao's work include Acute Ischemic Stroke Management (7 papers), Nutrition, Genetics, and Disease (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Jingbo Zhao is often cited by papers focused on Acute Ischemic Stroke Management (7 papers), Nutrition, Genetics, and Disease (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Jingbo Zhao collaborates with scholars based in China, Canada and United States. Jingbo Zhao's co-authors include Yukun Zhang, He Zhuang, Shu‐Lin Liu, Liang Cheng, Yujie Zhou, Yao Wang, Yina Gao, Yongguo Li, Guangliang Shan and Li Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Epidemiology.

In The Last Decade

Jingbo Zhao

46 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingbo Zhao China 12 190 119 82 72 59 46 560
Esen Akbay Türkiye 14 157 0.8× 92 0.8× 76 0.9× 59 0.8× 22 0.4× 34 559
Annalisa Giandalia Italy 17 171 0.9× 117 1.0× 98 1.2× 80 1.1× 100 1.7× 45 743
Geoffrey D. Braatvedt New Zealand 15 73 0.4× 84 0.7× 74 0.9× 60 0.8× 52 0.9× 36 701
Sônia K. Nishida Brazil 17 123 0.6× 65 0.5× 44 0.5× 73 1.0× 254 4.3× 42 669
Seongbin Hong South Korea 17 87 0.5× 148 1.2× 138 1.7× 60 0.8× 31 0.5× 52 616
Ronghua Song China 19 346 1.8× 157 1.3× 142 1.7× 49 0.7× 15 0.3× 50 1.2k
Selvihan Beysel Türkiye 13 59 0.3× 62 0.5× 59 0.7× 41 0.6× 97 1.6× 38 491
Edison Jahaj Greece 17 130 0.7× 157 1.3× 46 0.6× 24 0.3× 27 0.5× 73 735
Yoon Jung Lee South Korea 15 97 0.5× 101 0.8× 35 0.4× 18 0.3× 34 0.6× 45 589
Yijuan Sun United States 14 106 0.6× 54 0.5× 94 1.1× 49 0.7× 169 2.9× 41 673

Countries citing papers authored by Jingbo Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jingbo Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingbo Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jingbo Zhao. A scholar is included among the top collaborators of Jingbo 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 Jingbo Zhao. Jingbo 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.
He, Huijing, Dingming Wang, Feng Liu, et al.. (2024). Social-economic inequalities and early-life exposure to famine contribute to low grip strength: The China National Health Survey. Nutrition Metabolism and Cardiovascular Diseases. 35(5). 103842–103842. 2 indexed citations
2.
Wang, Liping, et al.. (2023). Prevalence and risk factors for dementia in the Tibetan region: A population-based cross-sectional study. Journal of Affective Disorders. 334. 159–165. 2 indexed citations
3.
4.
Shi, Mengyao, Tanika N. Kelly, Zhengbao Zhu, et al.. (2022). Large‐Scale Targeted Sequencing Study of Ischemic Stroke in the Han Chinese Population. Journal of the American Heart Association. 11(19). e025245–e025245. 3 indexed citations
5.
Liu, Yue, Jingbo Zhao, Fang Li, et al.. (2022). Predictive value of hemoglobin level on early neurological outcomes in acute ischemic stroke. Neurological Research. 44(8). 684–691. 3 indexed citations
6.
He, Huijing, Li Pan, Xiaolan Ren, et al.. (2022). The Effect of Body Adiposity and Alcohol Consumption on Serum Uric Acid: A Quantile Regression Analysis Based on the China National Health Survey. Frontiers in Nutrition. 8. 724497–724497. 4 indexed citations
7.
Zhang, Pengfei, Menglin Xiao, Yanyan Dai, et al.. (2022). Evaluation of Water Quality of Collected Rainwater in the Northeastern Loess Plateau. Sustainability. 14(17). 10834–10834. 5 indexed citations
8.
Liu, Yue, Fang Li, Yanyan Sun, et al.. (2020). Combined prognostic significance of D-dimer level and platelet count in acute ischemic stroke. Thrombosis Research. 194. 142–149. 15 indexed citations
9.
Zhuang, He, Liang Cheng, Yao Wang, et al.. (2019). Dysbiosis of the Gut Microbiome in Lung Cancer. Frontiers in Cellular and Infection Microbiology. 9. 112–112. 163 indexed citations
10.
Zhang, Yu, Hong Wang, Ke Xu, et al.. (2018). Ambulatory blood pressure variability within the first 24 hours after admission and outcomes of acute ischemic stroke. Journal of the American Society of Hypertension. 12(3). 195–203. 14 indexed citations
11.
Li, Jing, et al.. (2014). [Impact the variability of blood pressure on the outcome of ischemic stroke patients upon discharge from the hospital].. PubMed. 35(1). 77–80. 1 indexed citations
12.
Liu, Xin, et al.. (2014). Association of CVD Candidate Gene Polymorphisms with Ischemic Stroke and Cerebral Hemorrhage in Chinese Individuals. PLoS ONE. 9(8). e105516–e105516. 14 indexed citations
13.
Zhao, Jingbo. (2012). Comparison of applicability of metabolic syndrome by three different criterion among community residents of Harbin. Chinese Journal of Disease Control and Prevention. 1 indexed citations
14.
Zhao, Nan, Xin Liu, Yongqin Wang, et al.. (2012). Association of inflammatory gene polymorphisms with ischemic stroke in a Chinese Han population. Journal of Neuroinflammation. 9(1). 162–162. 28 indexed citations
15.
Qi, Huiping, Sheng Bi, Shu Qin Wei, Hao Cui, & Jingbo Zhao. (2012). Intravitreal Versus Subtenon Triamcinolone Acetonide Injection for Diabetic Macular Edema: A Systematic Review and Meta-analysis. Current Eye Research. 37(12). 1136–1147. 39 indexed citations
16.
Li, Weimin, et al.. (2010). Prevalence of hypertension and risk factors in Heilongjiang province in 2007. Chinese Medical Journal. 123(6). 752–755. 4 indexed citations
17.
Zhao, Jingbo. (2009). Predictive values of components of metabolic syndrome on type 2 diabetes mellitus. Chinese Journal of Public Health. 1 indexed citations
18.
Zhao, Jingbo, et al.. (2009). [Meta-analysis on the association of G894T polymorphism in endothelial nitric oxide synthase gene and essential hypertension in Chinese population].. PubMed. 30(8). 845–9. 6 indexed citations
19.
Li, Weimin, et al.. (2008). [Prevalence, awareness, treatment, and risk factors of hypertension in Harbin, Heilongjiang Province].. PubMed. 88(42). 2966–70. 1 indexed citations
20.
Zhao, Jingbo, et al.. (2008). [A cross-sectional study of impaired fasting glycaemia and diabetes mellitus in rural residents of Lanxi, Heilongjiang].. PubMed. 29(6). 530–4. 4 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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