Ping Yao

10.5k total citations · 2 hit papers
279 papers, 7.8k citations indexed

About

Ping Yao is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Ping Yao has authored 279 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 54 papers in Pathology and Forensic Medicine and 51 papers in Epidemiology. Recurrent topics in Ping Yao's work include Alcohol Consumption and Health Effects (36 papers), Liver Disease Diagnosis and Treatment (26 papers) and Heme Oxygenase-1 and Carbon Monoxide (23 papers). Ping Yao is often cited by papers focused on Alcohol Consumption and Health Effects (36 papers), Liver Disease Diagnosis and Treatment (26 papers) and Heme Oxygenase-1 and Carbon Monoxide (23 papers). Ping Yao collaborates with scholars based in China, United States and Germany. Ping Yao's co-authors include Liegang Liu, Yuhan Tang, Wei Bao, Andreas K. Nüssler, Liping Hao, Zhilei Shan, Shuang Rong, Chao Gao, Fangfang Song and Di Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ping Yao

266 papers receiving 7.6k citations

Hit Papers

Inflammatory Markers and ... 2012 2026 2016 2021 2012 2023 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ping Yao 2.3k 1.5k 1.1k 971 936 279 7.8k
Sha Li 3.3k 1.4× 1.3k 0.9× 858 0.8× 1.0k 1.0× 815 0.9× 111 9.5k
Majid Ghayour‐Mobarhan 2.2k 0.9× 1.1k 0.8× 1.2k 1.1× 604 0.6× 1.0k 1.1× 445 8.2k
Yong‐Bing Xiang 2.4k 1.0× 1.2k 0.8× 1.5k 1.4× 1.1k 1.1× 688 0.7× 284 9.2k
Ali H. Eid 2.8k 1.2× 856 0.6× 1.1k 1.0× 743 0.8× 643 0.7× 250 8.2k
Myron D. Gross 1.7k 0.7× 1.3k 0.9× 1.6k 1.5× 966 1.0× 921 1.0× 187 8.6k
Woon‐Puay Koh 1.9k 0.8× 1.0k 0.7× 2.2k 2.0× 1.5k 1.5× 1.1k 1.1× 357 10.1k
Honglan Li 1.4k 0.6× 777 0.5× 1.5k 1.4× 1.4k 1.4× 1.0k 1.1× 220 8.3k
Alessandra Tavani 1.8k 0.8× 1.0k 0.7× 1.4k 1.2× 1.2k 1.2× 632 0.7× 235 9.3k
Changhao Sun 2.5k 1.1× 1.3k 0.9× 1.6k 1.5× 639 0.7× 974 1.0× 244 6.7k
Ying Li 2.2k 0.9× 1.1k 0.8× 1.3k 1.2× 492 0.5× 1.4k 1.5× 355 7.3k

Countries citing papers authored by Ping Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yao. A scholar is included among the top collaborators of Ping Yao 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 Ping Yao. Ping Yao 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.
Zhang, Jingjing, Panpan Xu, Yue Zhang, et al.. (2025). Unraveling the role of abnormal AMPK and CRMP-2 phosphorylation in developmental fluoride neurotoxicity: Implications for synaptic damage and neurological disorders. Ecotoxicology and Environmental Safety. 296. 118192–118192.
3.
Yao, Ping, Wen Xu, Xueji Zhang, & Jinming Kong. (2024). Supramolecular Catalyst for Improving the Sensitivity of Biomolecule Detection. ChemistrySelect. 9(41). 1 indexed citations
4.
Guo, Xiaoping, Jingjing Liu, Li Chen, et al.. (2024). Refining the Rab7-V1G1 axis to mitigate iron deposition: Protective effects of quercetin in alcoholic liver disease. The Journal of Nutritional Biochemistry. 135. 109767–109767. 1 indexed citations
6.
Wang, Yuling, Shijie Chen, Dongqi Han, et al.. (2024). A multi-scale feature selection module based architecture for the diagnosis of Alzheimer’s disease on [18F]FDG PET. International Journal of Medical Informatics. 191. 105551–105551. 3 indexed citations
7.
Yao, Ping, Wenye Zhong, Zhe Zhang, et al.. (2023). Surface engineering of biomass-derived carbon material for efficient water softening. Chemical Engineering Science. 282. 119312–119312. 2 indexed citations
8.
Chen, Huimin, Jingjing Liu, Shufen Peng, et al.. (2023). Autophagy and exosomes coordinately mediate quercetin's protective effects on alcoholic liver disease. The Journal of Nutritional Biochemistry. 116. 109332–109332. 14 indexed citations
9.
Yao, Ping & Xiaohong Liu. (2022). Joint Modeling of Multivariate Longitudinal Depressive Symptoms and Survival with Application to an Aging Study. SHILAP Revista de lepidopterología. 13(1).
10.
Tang, Yuhan, Peiyi Liu, Rong Zhong, et al.. (2022). No Evidence for a Causal Link between Serum Uric Acid and Nonalcoholic Fatty Liver Disease from the Dongfeng‐Tongji Cohort Study. Oxidative Medicine and Cellular Longevity. 2022(1). 6687626–6687626. 13 indexed citations
11.
He, Jia, Zhaoyang Li, Ruixin Wang, et al.. (2021). Association of blood pressure and long‐term change with chronic kidney disease risk among Chinese adults with different glucose metabolism according to the 2017 ACC/AHA guidelines. Journal of Clinical Hypertension. 23(12). 2080–2088. 2 indexed citations
12.
Yang, Fen, Hua Hu, Jing Wang, et al.. (2020). Mendelian randomization study of serum uric acid levels and diabetes risk: evidence from the Dongfeng-Tongji cohort. BMJ Open Diabetes Research & Care. 8(1). e000834–e000834. 30 indexed citations
13.
Han, Xu, Yue Wei, Hua Hu, et al.. (2020). Genetic Risk, a Healthy Lifestyle, and Type 2 Diabetes: the Dongfeng-Tongji Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 105(4). 1242–1250. 26 indexed citations
14.
Wei, Yue, Jing Wang, Xu Han, et al.. (2019). Metabolically healthy obesity increased diabetes incidence in a middle‐aged and elderly Chinese population. Diabetes/Metabolism Research and Reviews. 36(1). e3202–e3202. 23 indexed citations
15.
Li, Zhaoyang, Jing Wang, Xu Han, et al.. (2019). Association between cancer antigen 19‐9 and diabetes risk: A prospective and Mendelian randomization study. Journal of Diabetes Investigation. 11(3). 585–593. 6 indexed citations
16.
Yu, Caizheng, Qing Lei, Jing Wang, et al.. (2019). Serum carbohydrate antigen 125 levels and incident risk of type 2 diabetes mellitus in middle-aged and elderly Chinese population: The Dongfeng–Tongji cohort study. Diabetes and Vascular Disease Research. 16(5). 424–430. 1 indexed citations
17.
18.
Li, Jieruo, Zhengang Zha, Ning Liu, et al.. (2012). Repairing Osteochondral Defect of Rabbits with Nano-HA/CS Scaffold Composite with Chondrocyte by Boot-shaped Structure. Journal of Sun Yat-sen University. 33(3). 281–286. 1 indexed citations
19.
Yao, Ping. (2011). Effect of Moxa Cone Moxibustion on Learning and Memory Function and Expression of c-fos Protein in Cerebral Tissue of Senile Mice Induced by D-galactose. Lishizhen Medicine and Materia Medica Research. 1 indexed citations
20.
Booth, Nancy L., Cassia Overk, Ping Yao, et al.. (2006). The Chemical and Biologic Profile of a Red Clover ( Trifolium pratense L.) Phase II Clinical Extract. The Journal of Alternative and Complementary Medicine. 12(2). 133–139. 82 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026