Phillip C. Yang

8.3k total citations · 1 hit paper
147 papers, 4.6k citations indexed

About

Phillip C. Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Phillip C. Yang has authored 147 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 43 papers in Cardiology and Cardiovascular Medicine and 43 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Phillip C. Yang's work include Advanced MRI Techniques and Applications (38 papers), Tissue Engineering and Regenerative Medicine (33 papers) and Cardiac Imaging and Diagnostics (29 papers). Phillip C. Yang is often cited by papers focused on Advanced MRI Techniques and Applications (38 papers), Tissue Engineering and Regenerative Medicine (33 papers) and Cardiac Imaging and Diagnostics (29 papers). Phillip C. Yang collaborates with scholars based in United States, China and Canada. Phillip C. Yang's co-authors include Michael V. McConnell, John M. Pauly, Michelle Santoso, Takayasu Arai, Ji‐Hye Jung, Gentaro Ikeda, Joseph C. Wu, Robert C. Robbins, Charles H. Cunningham and Steven Conolly and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Phillip C. Yang

137 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spinning-enabled wireless amphibious origami millirobot

2022 192 citations Gentaro Ikeda, Phillip C. Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phillip C. Yang United States	41	1.8k	1.3k	942	846	810	147	4.6k
Harald Ittrich Germany	31	1.1k 0.6×	509 0.4×	969 1.0×	447 0.5×	434 0.5×	98	4.1k
Silvio Litovsky United States	43	2.6k 1.5×	1.5k 1.1×	1.2k 1.3×	640 0.8×	2.7k 3.4×	138	7.4k
Thomas C. Skalak United States	37	1.4k 0.8×	738 0.6×	1.3k 1.4×	549 0.6×	496 0.6×	87	4.5k
Jonathan Hill United Kingdom	31	2.8k 1.6×	2.7k 2.1×	667 0.7×	1.3k 1.5×	1.5k 1.8×	96	6.9k
Stephen R. Hanson United States	49	1.1k 0.6×	1.7k 1.3×	1.0k 1.1×	413 0.5×	1.6k 2.0×	171	7.4k
Jun Yoshida Japan	42	1.8k 1.0×	980 0.8×	779 0.8×	287 0.3×	256 0.3×	273	6.0k
Petri Lehenkari Finland	49	2.8k 1.6×	1.7k 1.3×	1.2k 1.2×	561 0.7×	142 0.2×	220	7.9k
Moritz Wildgruber Germany	34	966 0.5×	1.2k 0.9×	1.0k 1.1×	854 1.0×	572 0.7×	232	5.5k
Steven A. J. Chamuleau Netherlands	40	1.2k 0.7×	2.6k 2.1×	476 0.5×	1.7k 2.0×	2.4k 2.9×	204	5.3k
Mohammad F. Kiani United States	36	1.1k 0.7×	401 0.3×	837 0.9×	461 0.5×	335 0.4×	110	3.6k

Countries citing papers authored by Phillip C. Yang

Since Specialization

Citations

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

Fields of papers citing papers by Phillip C. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip C. Yang. 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 Phillip C. Yang. The network helps show where Phillip C. Yang may publish in the future.

Co-authorship network of co-authors of Phillip C. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip C. Yang. A scholar is included among the top collaborators of Phillip C. Yang 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 Phillip C. Yang. Phillip C. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guha, Avirup, Fei Fang, Qianyi Wang, et al.. (2025). AI-driven prediction of cardio-oncology biomarkers through protein corona analysis. Chemical Engineering Journal. 509. 161134–161134. 3 indexed citations

Kazemian, Negin, Janet Irungu, Geoff B. Coombs, et al.. (2025). Linking gut, heart and metabolic health through cholesterol conversion by Akkermansia muciniphila. Chemical Engineering Journal. 522. 167391–167391.

Ikeda, Gentaro, Nirmal Vadgama, Hiroyuki Takashima, et al.. (2025). Molecular Mechanisms of Exosomes From Human iPSC‐Cardiomyocytes and Mesenchymal Stem Cells in Restoring the Injured Myocardium. Journal of the American Heart Association. 14(21). e037005–e037005.

Liu, Chunping, Xiaoling Chen, Zhijun Chen, et al.. (2024). A novel label-free biosensor for myocardial ischemia biomarker detection via CRISPR/12a. Biosensors and Bioelectronics. 270. 116954–116954. 1 indexed citations

Shah, Neil, Mayil S. Krishnam, Martin Janich, et al.. (2024). Wideband radiofrequency pulse sequence for evaluation of myocardial scar in patients with cardiac implantable devices. SHILAP Revista de lepidopterología. 4. 1327406–1327406.

Yang, Phillip C., et al.. (2023). Current challenges surrounding exosome treatments. SHILAP Revista de lepidopterología. 2. 100023–100023. 65 indexed citations

Geng, Linda N., Hector Bonilla, Robert W. Shafer, Mitchell G. Miglis, & Phillip C. Yang. (2023). The Use of Nirmatrelvir-ritonavir in a Case of Breakthrough Long COVID. 0(0). 394–396. 6 indexed citations

Liang, Yubin, et al.. (2023). Extracellular vesicle-derived circCEBPZOS attenuates postmyocardial infarction remodeling by promoting angiogenesis via the miR-1178-3p/PDPK1 axis. Communications Biology. 6(1). 133–133. 7 indexed citations

Oh, Seyeon, Ji‐Hye Jung, Albert Youngwoo Jang, et al.. (2022). Stem Cell and Exosome Therapy in Pulmonary Hypertension. Korean Circulation Journal. 52(2). 110–110. 11 indexed citations

10.

Jung, Ji‐Hye, Gentaro Ikeda, Yuko Tada, et al.. (2021). miR-106a–363 cluster in extracellular vesicles promotes endogenous myocardial repair via Notch3 pathway in ischemic heart injury. Basic Research in Cardiology. 116(1). 19–19. 40 indexed citations

11.

Santoso, Michelle, Gentaro Ikeda, Yuko Tada, et al.. (2020). Exosomes From Induced Pluripotent Stem Cell–Derived Cardiomyocytes Promote Autophagy for Myocardial Repair. Journal of the American Heart Association. 9(6). e014345–e014345. 88 indexed citations

12.

Vaskova, Evgeniya, et al.. (2020). Sacubitril/Valsartan Improves Cardiac Function and Decreases Myocardial Fibrosis Via Downregulation of Exosomal miR‐181a in a Rodent Chronic Myocardial Infarction Model. Journal of the American Heart Association. 9(13). e015640–e015640. 52 indexed citations

13.

Tada, Yuko, Atsushi Tachibana, Junaid Zaman, et al.. (2019). Myocardial viability of the peri-infarct region measured by T1 mapping post manganese-enhanced MRI correlates with LV dysfunction. International Journal of Cardiology. 281. 8–14. 3 indexed citations

14.

Baron, Corey A., et al.. (2019). Combined T₂‐preparation and multidimensional outer volume suppression for coronary artery imaging with 3D cones trajectories. Magnetic Resonance in Medicine. 83(6). 2221–2231. 1 indexed citations

15.

O’Brien, Connor, Liye Shi, Michelle Santoso, et al.. (2018). Abstract 16965: Microvesicles Rescue Cardiomyocytes From Doxorubicin Injury in a Patient Specific Model of Anthracycline Induced Cardiomyopathy. Circulation. 138(Suppl_1). 1 indexed citations

16.

Serpooshan, Vahid, Sara Sheibani, Michal Wojcik, et al.. (2018). Effect of Cell Sex on Uptake of Nanoparticles: The Overlooked Factor at the Nanobio Interface. ACS Nano. 12(3). 2253–2266. 88 indexed citations

17.

Spath, Nicholas, Gillian A. Gray, Lydia M. Le Page, et al.. (2018). Manganese-Enhanced T₁ Mapping in the Myocardium of Normal and Infarcted Hearts. Contrast Media & Molecular Imaging. 2018. 1–13. 17 indexed citations

18.

Santoso, Michelle & Phillip C. Yang. (2016). Magnetic Nanoparticles for Targeting and Imaging of Stem Cells in Myocardial Infarction. Stem Cells International. 2016(1). 4198790–4198790. 52 indexed citations

19.

Chung, Wook‐Jin, Kyunghee Byun, Xiaohu Ge, et al.. (2016). Apelin-13 infusion salvages the peri-infarct region to preserve cardiac function after severe myocardial injury. International Journal of Cardiology. 222. 361–367. 11 indexed citations

20.

Wang, Lei, Shuai Mao, Xinfeng Guo, et al.. (2016). Efficacy of Danlou Tablet in Patients with Non‐ST Elevation Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention: Results from a Multicentre, Placebo‐Controlled, Randomized Trial. Evidence-based Complementary and Alternative Medicine. 2016(1). 7960503–7960503. 14 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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