Ping Hua

3.2k total citations
104 papers, 2.5k citations indexed

About

Ping Hua is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Ping Hua has authored 104 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 18 papers in Molecular Biology and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Ping Hua's work include Electrical and Bioimpedance Tomography (13 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Flow Measurement and Analysis (9 papers). Ping Hua is often cited by papers focused on Electrical and Bioimpedance Tomography (13 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Flow Measurement and Analysis (9 papers). Ping Hua collaborates with scholars based in China, United States and United Kingdom. Ping Hua's co-authors include John G. Webster, W.J. Tompkins, Eung Je Woo, Songran Yang, Edgar A. Jaimes, Gordon J. Freeman, Wenguang Feng, Baogong Zhu, Arlene H. Sharpe and Xia Bu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Ping Hua

100 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Hua China 29 524 486 383 381 278 104 2.5k
Hiroshi Iwata Japan 32 448 0.9× 1.3k 2.6× 332 0.9× 273 0.7× 505 1.8× 235 3.9k
Masaki Watanabe Japan 25 179 0.3× 915 1.9× 167 0.4× 94 0.2× 186 0.7× 121 2.7k
Minoru Yamamoto Japan 25 269 0.5× 395 0.8× 91 0.2× 164 0.4× 109 0.4× 186 1.9k
Ippei Shimizu Japan 33 363 0.7× 2.4k 4.9× 447 1.2× 175 0.5× 1.6k 5.6× 87 5.5k
Makoto Nakagawa Japan 26 600 1.1× 500 1.0× 195 0.5× 44 0.1× 141 0.5× 177 2.6k
Eiji Suzuki Japan 24 264 0.5× 627 1.3× 344 0.9× 100 0.3× 217 0.8× 141 2.4k
Zijian Li China 29 198 0.4× 1.2k 2.6× 345 0.9× 56 0.1× 491 1.8× 117 3.9k
Masakazu Hirata Japan 25 303 0.6× 1.5k 3.0× 518 1.4× 60 0.2× 431 1.6× 50 4.3k
Koji Okada Japan 31 223 0.4× 1.1k 2.2× 105 0.3× 122 0.3× 412 1.5× 207 3.0k
Takashi Kanda Japan 30 207 0.4× 621 1.3× 154 0.4× 144 0.4× 666 2.4× 284 3.3k

Countries citing papers authored by Ping Hua

Since Specialization
Citations

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

Fields of papers citing papers by Ping Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Hua. A scholar is included among the top collaborators of Ping Hua 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 Hua. Ping Hua 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.
Gui, Long, et al.. (2025). Association between hemoglobin glycation index and adverse outcomes in critically ill patients with myocardial infarction: A retrospective cohort study. Nutrition Metabolism and Cardiovascular Diseases. 35(6). 103973–103973. 2 indexed citations
2.
3.
Wu, Maoxiong, Weibin Zhou, Xiao Liu, et al.. (2024). Trem2/Tyrobp Signaling Protects Against Aortic Dissection and Rupture by Inhibiting Macrophage Activation in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 45(1). 119–135. 5 indexed citations
4.
Lv, Lei, Qi Wang, Hua Ouyang, et al.. (2024). Assessment of intracranial aneurysm rupture risk using a point cloud-based deep learning model. Frontiers in Physiology. 15. 1293380–1293380. 5 indexed citations
5.
Lv, Lei, et al.. (2024). Left main coronary artery morphological phenotypes and its hemodynamic properties. BioMedical Engineering OnLine. 23(1). 9–9. 2 indexed citations
6.
Lui, Asona, R Manger, Ping Hua, et al.. (2023). Clinical Impact of Contouring Variability for Prostate Cancer Tumor Boost. International Journal of Radiation Oncology*Biology*Physics. 117(2). e455–e455. 2 indexed citations
7.
Liu, Zihua, Ming Li, Ping Hua, et al.. (2023). Resequencing of a Pekin duck breeding population provides insights into the genomic response to short-term artificial selection. GigaScience. 12. 6 indexed citations
8.
Lv, Lei, et al.. (2023). Peripheral Hemangioblastoma Arising at an Exceptional Area: A Multimodal Imaging Report and 3-Year Follow Up. Circulation Cardiovascular Imaging. 16(6). e014707–e014707. 1 indexed citations
9.
10.
Hua, Ping, Yuwen Zhao, Qian Zeng, et al.. (2022). Genetic Analysis of Patients With Early-Onset Parkinson’s Disease in Eastern China. Frontiers in Aging Neuroscience. 14. 849462–849462. 9 indexed citations
11.
Bu, Xia, Vikram R. Juneja, Carol Reynolds, et al.. (2021). Monitoring PD-1 Phosphorylation to Evaluate PD-1 Signaling during Antitumor Immune Responses. Cancer Immunology Research. 9(12). 1465–1475. 11 indexed citations
12.
Pan, Chenxi, Jingru Ren, Ping Hua, et al.. (2021). Subjective Cognitive Complaints in Newly-Diagnosed Parkinson’s Disease With and Without Mild Cognitive Impairment. Frontiers in Neuroscience. 15. 761817–761817. 12 indexed citations
13.
Ren, Jingru, Chenxi Pan, Yuqian Li, et al.. (2021). Consistency and Stability of Motor Subtype Classifications in Patients With de novo Parkinson’s Disease. Frontiers in Neuroscience. 15. 637896–637896. 17 indexed citations
14.
Bhatt, Rupal S., Kathleen M. Mahoney, Samuel S. Freeman, et al.. (2020). KIR3DL3 Is an Inhibitory Receptor for HHLA2 that Mediates an Alternative Immunoinhibitory Pathway to PD1. Cancer Immunology Research. 9(2). 156–169. 80 indexed citations
15.
Mahoney, Kathleen M., Sachet A. Shukla, Nikolaos Patsoukis, et al.. (2018). A secreted PD-L1 splice variant that covalently dimerizes and mediates immunosuppression. Cancer Immunology Immunotherapy. 68(3). 421–432. 112 indexed citations
16.
Mahoney, Kathleen M., Heather H. Sun, Xiaoyun Liao, et al.. (2015). PD-L1 Antibodies to Its Cytoplasmic Domain Most Clearly Delineate Cell Membranes in Immunohistochemical Staining of Tumor Cells. Cancer Immunology Research. 3(12). 1308–1315. 103 indexed citations
17.
Zeng, Kuan, et al.. (2015). Prostaglandin E1 protects bone marrow-derived mesenchymal stem cells against serum deprivation-induced apoptosis. Molecular Medicine Reports. 12(4). 5723–5729. 5 indexed citations
18.
Hua, Ping, Weiguo Liu, Donghui Chen, et al.. (2013). Cry1 and Tef gene polymorphisms are associated with major depressive disorder in the Chinese population. Journal of Affective Disorders. 157. 100–103. 56 indexed citations
19.
Hua, Ping, Weiguo Liu, Yanyan Zhao, et al.. (2012). Tef polymorphism is associated with sleep disturbances in patients with Parkinson’s disease. Sleep Medicine. 13(3). 297–300. 15 indexed citations
20.
Hua, Ping, et al.. (2003). Estrogen response element-independent regulation of gene expression by genistein in intestinal cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1627(2-3). 63–70. 22 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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