Jinying Zhao

5.0k total citations
139 papers, 3.4k citations indexed

About

Jinying Zhao is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Jinying Zhao has authored 139 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 38 papers in Physiology and 25 papers in Genetics. Recurrent topics in Jinying Zhao's work include Epigenetics and DNA Methylation (17 papers), Metabolomics and Mass Spectrometry Studies (16 papers) and Genetic Associations and Epidemiology (16 papers). Jinying Zhao is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Metabolomics and Mass Spectrometry Studies (16 papers) and Genetic Associations and Epidemiology (16 papers). Jinying Zhao collaborates with scholars based in United States, China and United Kingdom. Jinying Zhao's co-authors include Momiao Xiong, Viola Vaccarino, Yun Zhu, Jack Goldberg, Jin Li, J. Douglas Bremner, Eric Boerwinkle, Xiangzhong Fang, Barbara V. Howard and Elisa T. Lee and has published in prestigious journals such as Circulation, Nature Communications and Bioinformatics.

In The Last Decade

Jinying Zhao

131 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinying Zhao United States 31 1.6k 801 663 280 275 139 3.4k
Jessica Lasky‐Su United States 44 1.8k 1.1× 2.0k 2.4× 944 1.4× 183 0.7× 366 1.3× 245 6.2k
Toshiko Tanaka United States 38 1.5k 0.9× 1.6k 2.0× 541 0.8× 307 1.1× 772 2.8× 178 5.0k
Daniela Mari Italy 44 2.3k 1.4× 1.5k 1.9× 667 1.0× 557 2.0× 239 0.9× 170 6.2k
Luigi Atzori Italy 35 2.0k 1.2× 533 0.7× 277 0.4× 114 0.4× 241 0.9× 146 4.0k
Beatrice Arosio Italy 35 1.5k 0.9× 1.3k 1.6× 304 0.5× 179 0.6× 159 0.6× 148 4.0k
Li Liu China 34 1.8k 1.1× 1.3k 1.6× 589 0.9× 347 1.2× 188 0.7× 264 5.4k
Rui Wang‐Sattler Germany 35 2.6k 1.6× 1.4k 1.8× 450 0.7× 110 0.4× 689 2.5× 82 4.4k
Uta Ceglarek Germany 42 2.1k 1.3× 871 1.1× 400 0.6× 311 1.1× 322 1.2× 200 5.3k
Marian Beekman Netherlands 39 1.7k 1.1× 1.3k 1.7× 724 1.1× 139 0.5× 301 1.1× 125 4.5k
Marcus Seldin United States 34 2.4k 1.5× 1.6k 2.0× 424 0.6× 485 1.7× 275 1.0× 78 5.1k

Countries citing papers authored by Jinying Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jinying Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinying Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinying Zhao. A scholar is included among the top collaborators of Jinying 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 Jinying Zhao. Jinying 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.
Li, Yanan, et al.. (2025). AdipoRon attenuates depression-like behavior in T2DM mice via inhibiting inflammation and regulating autophagy. Brain Research Bulletin. 224. 111308–111308. 2 indexed citations
2.
Wen, Xiaoxiao, Amanda M. Fretts, Mingjing Chen, et al.. (2025). Lipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians. Diabetes Care. 48(12). 2021–2030.
3.
Zhao, Jinying, Tongjun Gu, Cheng Gao, et al.. (2025). Brain 5-hydroxymethylcytosine alterations are associated with Alzheimer’s disease neuropathology. Nature Communications. 16(1). 2842–2842. 6 indexed citations
4.
Oveisgharan, Shahram, Lei Yu, Jingyun Yang, et al.. (2025). Cortical Gray Matter Proteins Associated With Cerebral Amyloid Angiopathy in Community-Dwelling Older Adults. Neurology. 105(6). e214024–e214024. 1 indexed citations
5.
Huang, Ting, et al.. (2024). Motor symptoms of Parkinson's disease are affected by temperature: A controlled pilot study. Brain and Behavior. 14(1). e3369–e3369. 4 indexed citations
6.
Pechlaner, Raimund, Oliver Fiehn, Kimberly Malloy, et al.. (2024). Longitudinal Lipidomic Signature of Coronary Heart Disease in American Indian People. Journal of the American Heart Association. 13(3). e031825–e031825. 1 indexed citations
7.
Huo, Zhiguang, Hao Peng, Xiaoxiao Wen, et al.. (2024). Longitudinal Profiling of Fasting Plasma Metabolome in Response to Weight-Loss Interventions in Patients with Morbid Obesity. Metabolites. 14(2). 116–116. 1 indexed citations
8.
Chen, Mingjing, Zhijie Huang, Jinling Liu, et al.. (2024). Longitudinal lipidomic profiles of left ventricular mass and left ventricular hypertrophy in American Indians. JCI Insight. 9(22).
9.
Wen, Xiaoxiao, Amanda M. Fretts, Kimberly Malloy, et al.. (2023). Plasma lipidomic markers of diet quality are associated with incident coronary heart disease in American Indian adults: the Strong Heart Family Study. American Journal of Clinical Nutrition. 119(3). 748–755. 5 indexed citations
11.
Oveisgharan, Shahram, Jingyun Yang, Lei Yu, et al.. (2023). Estrogen Receptor Genes, Cognitive Decline, and Alzheimer Disease. Neurology. 100(14). e1474–e1487. 29 indexed citations
12.
Zhang, Ying, Jason G. Umans, Elisa T. Lee, et al.. (2023). Longitudinal Lipidomic Profile of Hypertension in American Indians: Findings From the Strong Heart Family Study. Hypertension. 80(8). 1771–1783. 5 indexed citations
13.
Wen, Xiaoxiao, Helena Palma‐Gudiel, Mingjing Chen, et al.. (2023). DNA methylation is differentially associated with glycemic outcomes by different types of weight-loss interventions: an epigenome-wide association study. Clinical Epigenetics. 15(1). 108–108.
14.
Huang, Ting, Lili Tang, Jinying Zhao, et al.. (2023). Drooling disrupts the brain functional connectivity network in Parkinson's disease. CNS Neuroscience & Therapeutics. 29(10). 3094–3107. 6 indexed citations
15.
Mickle, Angela M., Volker Mai, Cynthia Garvan, et al.. (2022). Associations between Vitamin D, Omega 6:Omega 3 Ratio, and Biomarkers of Aging in Individuals Living with and without Chronic Pain. Nutrients. 14(2). 266–266. 9 indexed citations
16.
Liu, Yanze, Lin Yao, Hailin Jiang, et al.. (2021). The effectiveness of acupoint application of traditional Chinese medicine in treating primary dysmenorrhea. Medicine. 100(24). e26398–e26398. 1 indexed citations
17.
Zhang, Ying, Zhiguang Huo, Wenjie Zeng, et al.. (2021). Longitudinal Plasma Lipidome and Risk of Type 2 Diabetes in a Large Sample of American Indians With Normal Fasting Glucose: The Strong Heart Family Study. Diabetes Care. 44(12). 2664–2672. 23 indexed citations
18.
Darst, Burcu F., Zhiguang Huo, Erin M. Jonaitis, et al.. (2021). Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer’s Disease. Journal of Alzheimer s Disease. 79(3). 1041–1054. 10 indexed citations
19.
Peng, Hao, Fawn Yeh, Jue Lin, et al.. (2017). Plasminogen activator inhibitor‐1 is associated with leukocyte telomere length in American Indians: findings from the Strong Heart Family Study. Journal of Thrombosis and Haemostasis. 15(6). 1078–1085. 5 indexed citations
20.
Su, Shaoyong, Jinying Zhao, J. Douglas Bremner, et al.. (2009). Haplotypes of Serotonin Transporter Gene Associated with Both Depressive Symptoms and Interleukin-6 in Middle-Aged Males: The Twins Heart Study. Data Archiving and Networked Services (DANS).

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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