Yanbin Dong

6.9k total citations · 1 hit paper
163 papers, 4.2k citations indexed

About

Yanbin Dong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Yanbin Dong has authored 163 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 36 papers in Cardiology and Cardiovascular Medicine and 29 papers in Physiology. Recurrent topics in Yanbin Dong's work include Hormonal Regulation and Hypertension (16 papers), Vitamin D Research Studies (15 papers) and Birth, Development, and Health (15 papers). Yanbin Dong is often cited by papers focused on Hormonal Regulation and Hypertension (16 papers), Vitamin D Research Studies (15 papers) and Birth, Development, and Health (15 papers). Yanbin Dong collaborates with scholars based in United States, China and United Kingdom. Yanbin Dong's co-authors include Haidong Zhu, Bernard Gutin, Harold Snieder, Norman K. Pollock, Frank A. Treiber, Gregory A. Harshfield, Inger Stallmann‐Jorgensen, Xiaoling Wang, Jigar Bhagatwala and Ying Huang and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Medicine.

In The Last Decade

Yanbin Dong

146 papers receiving 4.1k citations

Hit Papers

Neural biomarker diagnosi... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yanbin Dong 1.2k 965 786 711 625 163 4.2k
Haidong Zhu 859 0.7× 927 1.0× 739 0.9× 578 0.8× 644 1.0× 113 3.4k
Jian’an Luan 1.4k 1.2× 1.7k 1.7× 636 0.8× 523 0.7× 707 1.1× 84 5.0k
Mogens Fenger 880 0.8× 822 0.9× 685 0.9× 333 0.5× 360 0.6× 130 3.8k
Emanuele Miraglia del Giudice 977 0.8× 1.4k 1.4× 325 0.4× 569 0.8× 602 1.0× 269 5.5k
Jing Ma 887 0.8× 552 0.6× 307 0.4× 1.2k 1.7× 594 1.0× 97 3.9k
Christian L. Roth 1.1k 1.0× 1.5k 1.6× 335 0.4× 493 0.7× 741 1.2× 155 5.7k
B. L. Grégoire Nyomba 1.4k 1.2× 1.8k 1.9× 356 0.5× 340 0.5× 515 0.8× 79 4.9k
Massimiliano Caprio 1.1k 1.0× 2.1k 2.2× 352 0.4× 496 0.7× 516 0.8× 154 6.1k
Jürgen Kratzsch 1.1k 1.0× 1.7k 1.8× 237 0.3× 434 0.6× 529 0.8× 137 5.7k
Andrzej Lewiñski 1.0k 0.9× 774 0.8× 441 0.6× 301 0.4× 326 0.5× 522 5.8k

Countries citing papers authored by Yanbin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yanbin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbin Dong. A scholar is included among the top collaborators of Yanbin Dong 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 Yanbin Dong. Yanbin Dong 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
2.
Zhu, Yi, Lina Mao, Sae Rom Lee, et al.. (2025). A predictive model for intracranial hemorrhage in adult patients receiving extracorporeal membrane oxygenation. World Journal of Emergency Medicine. 16(2). 153–153.
3.
Miliano, Cristina, et al.. (2025). Chronic intermittent ethanol produces nociception through endocannabinoid-independent mechanisms in mice. Neuropharmacology. 277. 110502–110502. 2 indexed citations
4.
He, Fudong, et al.. (2025). Adverse childhood experiences and cardiometabolic biomarkers: A causal analysis. Journal of Affective Disorders. 381. 418–426.
6.
Chen, Xia, et al.. (2024). Long‐Term Visit‐to‐Visit Blood Pressure Variability and Cognitive Decline Among Patients With Hypertension: A Pooled Analysis of 3 National Prospective Cohorts. Journal of the American Heart Association. 13(13). e035504–e035504. 2 indexed citations
7.
Tsai, Meng‐Han, Steven S. Coughlin, Minjee Lee, Jörge E. Cortes, & Yanbin Dong. (2024). Associations Between a Social Determinant of Health Summary Measure and Self‐Reported Physical and Mental Health Among Cancer Survivors. Psycho-Oncology. 33(9). e9314–e9314.
8.
Tsai, Meng‐Han, Marlo Vernon, Shaoyong Su, Steven S. Coughlin, & Yanbin Dong. (2024). Racial disparities in the relationship of regional socioeconomic status and colorectal cancer survival in the five regions of Georgia. Cancer Medicine. 13(3). e6954–e6954. 5 indexed citations
9.
Li, Yan, Donglan Zhang, Weixin Li, et al.. (2023). The Health and Economic Impact of Expanding Home Blood Pressure Monitoring. American Journal of Preventive Medicine. 65(5). 775–782. 5 indexed citations
10.
Jiao, Bin, Rihui Li, Hui Zhou, et al.. (2023). Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology. Alzheimer s Research & Therapy. 15(1). 32–32. 81 indexed citations breakdown →
12.
Hwang, Eun‐Sang, Jarrad M. Scarlett, Arian F. Baquero, et al.. (2022). Sustained inhibition of NPY/AgRP neuronal activity by FGF1. JCI Insight. 7(17). 12 indexed citations
13.
Zhu, Huaiping, Jigar Bhagatwala, Norman K. Pollock, et al.. (2015). High sodium intake is associated with short leukocyte telomere length in overweight and obese adolescents. International Journal of Obesity. 39(8). 1249–1253. 24 indexed citations
14.
Zhang, Hanyao, Yanbin Dong, Lixia Zhao, et al.. (2010). Single base-resolution methylome of the silkworm reveals a sparse epigenomic map (vol 28, pg 516, 2010). UCL Discovery (University College London). 1 indexed citations
15.
Wang, Xiaoling, Harriëtte Riese, Shaoyong Su, et al.. (2009). A Gene-wide Association Study of Heart Rate Variability at Rest and During Stress: 8 Genes in the Parasympathetic Pathway. Data Archiving and Networked Services (DANS). 1 indexed citations
16.
McCaffery, Jeanne M., Harold Snieder, Yanbin Dong, & Eco J. C. de Geus. (2007). Genetics in psychosomatic medicine. Psychosomatic Medicine. 69(2). 206–216.
17.
Ge, Dongliang, Yanbin Dong, Xiaoling Wang, Frank A. Treiber, & Harold Snieder. (2006). The Georgia Cardiovascular Twin Study: Influence of Genetic Predisposition and Chronic Stress on Risk for Cardiovascular Disease and Type 2 Diabetes. Twin Research and Human Genetics. 9(6). 965–970. 20 indexed citations
18.
Ge, Dongliang, Yanbin Dong, Xiaoling Wang, Frank A. Treiber, & Harold Snieder. (2006). The Georgia Cardiovascular Twin Study: Influence of Genetic Predisposition and Chronic Stress on Risk for Cardiovascular Disease and Type 2 Diabetes. Twin Research and Human Genetics. 9(6). 965–970. 25 indexed citations
19.
Snieder, Harold, Yanbin Dong, & Frank A. Treiber. (2004). Does Multivariate Analysis Optimize the Heritability of Cardiovascular Reactivity Change Scores to Stress? - Session: Complex Disorders III. Twin Research and Human Genetics. 7(4). 379. 1 indexed citations
20.
Baker, Emma H., et al.. (2002). Amiloride, a Specific Drug for Hypertension in Black People With T594M Variant?. Hypertension. 40(1). 13–17. 60 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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