Henry Shih

907 total citations
26 papers, 672 citations indexed

About

Henry Shih is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Henry Shih has authored 26 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Henry Shih's work include Cardiac Fibrosis and Remodeling (7 papers), Mesenchymal stem cell research (6 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Henry Shih is often cited by papers focused on Cardiac Fibrosis and Remodeling (7 papers), Mesenchymal stem cell research (6 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Henry Shih collaborates with scholars based in United States, Australia and Egypt. Henry Shih's co-authors include Andrew Boyle, Brian Lee, Randall J. Lee, Yerem Yeghiazarians, Jianqin Ye, Richard E. Sievers, Franca S. Angeli, Daniel M. Thys, William Grossman and Megha Prasad and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Henry Shih

26 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Shih United States 13 270 265 229 86 82 26 672
Jason M. Duran United States 16 337 1.2× 189 0.7× 411 1.8× 115 1.3× 57 0.7× 31 877
Daniel A. Brenner United States 9 279 1.0× 212 0.8× 196 0.9× 102 1.2× 126 1.5× 10 602
Zhengbin Zhu China 14 159 0.6× 157 0.6× 312 1.4× 55 0.6× 93 1.1× 44 773
Kristóf Hirschberg Hungary 18 233 0.9× 205 0.8× 139 0.6× 30 0.3× 114 1.4× 48 797
Noémi Nyolczas Hungary 13 239 0.9× 224 0.8× 136 0.6× 66 0.8× 77 0.9× 44 596
Lianglong Chen China 17 229 0.8× 179 0.7× 246 1.1× 65 0.8× 159 1.9× 50 830
Chen-Fuh Lam Taiwan 17 151 0.6× 204 0.8× 238 1.0× 65 0.8× 138 1.7× 30 829
Alessandra Bertoletti Italy 7 367 1.4× 237 0.9× 288 1.3× 103 1.2× 27 0.3× 8 769
Chu-Feng Liu Taiwan 13 138 0.5× 180 0.7× 242 1.1× 102 1.2× 40 0.5× 24 654
C.M. Schannwell Germany 12 525 1.9× 366 1.4× 232 1.0× 248 2.9× 57 0.7× 41 928

Countries citing papers authored by Henry Shih

Since Specialization
Citations

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

Fields of papers citing papers by Henry Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Shih. A scholar is included among the top collaborators of Henry Shih 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 Henry Shih. Henry Shih 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.
Witt, Chance M., Charles J. Lenz, Henry Shih, et al.. (2017). Right ventricular pacemaker lead position is associated with differences in long‐term outcomes and complications. Journal of Cardiovascular Electrophysiology. 28(8). 924–930. 11 indexed citations
2.
Witt, Chance M., Charles J. Lenz, Henry Shih, et al.. (2016). Right atrial lead fixation type and lead position are associated with significant variation in complications. Journal of Interventional Cardiac Electrophysiology. 47(3). 313–319. 14 indexed citations
3.
Kapur, Navin K., Vikram Paruchuri, Arjun Majithia, et al.. (2015). Hemodynamic effects of standard versus larger-capacity intraaortic balloon counterpulsation pumps.. PubMed. 27(4). 182–8. 26 indexed citations
4.
Johnson, Angela, Haraldur Bjarnason, Raymond C. Shields, et al.. (2014). Removal of floating inferior vena cava thrombus with the AngioVac device. Vascular Medicine. 20(2). 190–192. 9 indexed citations
5.
Boyle, Andrew, Jianqin Ye, Henry Shih, et al.. (2013). The Effects of Aging on Apoptosis Following Myocardial Infarction. Cardiovascular Therapeutics. 31(6). e102–10. 15 indexed citations
6.
Ye, Jianqin, Andrew Boyle, Henry Shih, et al.. (2012). Sca-1+ Cardiosphere-Derived Cells Are Enriched for Isl1-Expressing Cardiac Precursors and Improve Cardiac Function after Myocardial Injury. PLoS ONE. 7(1). e30329–e30329. 65 indexed citations
7.
Koskenvuo, Juha, Richard E. Sievers, Yan Zhang, et al.. (2012). Fractionation of mouse bone-marrow cells limits functional efficacy in non-reperfused mouse model of acute myocardial infarction. Annals of Medicine. 44(8). 829–835. 4 indexed citations
8.
Ye, Jianqin, Andrew Boyle, Henry Shih, et al.. (2012). CD45-positive cells are not an essential component in cardiosphere formation. Cell and Tissue Research. 351(1). 201–205. 10 indexed citations
9.
Boyle, Andrew, Henry Shih, Jianqin Ye, et al.. (2011). Cardiomyopathy of aging in the mammalian heart is characterized by myocardial hypertrophy, fibrosis and a predisposition towards cardiomyocyte apoptosis and autophagy. Experimental Gerontology. 46(7). 549–559. 120 indexed citations
10.
Boyle, Andrew, Yerem Yeghiazarians, Henry Shih, et al.. (2011). Myocardial production and release of MCP-1 and SDF-1 following myocardial infarction: differences between mice and man. Journal of Translational Medicine. 9(1). 150–150. 26 indexed citations
11.
Zhang, Yan, Richard E. Sievers, Megha Prasad, et al.. (2010). Timing of bone marrow cell therapy is more important than repeated injections after myocardial infarction. Cardiovascular Pathology. 20(4). 204–212. 20 indexed citations
12.
Shih, Henry, Brian Lee, Randall J. Lee, & Andrew Boyle. (2010). The Aging Heart and Post-Infarction Left Ventricular Remodeling. Journal of the American College of Cardiology. 57(1). 9–17. 149 indexed citations
13.
14.
Yeghiazarians, Yerem, Yan Zhang, Megha Prasad, et al.. (2009). Injection of Bone Marrow Cell Extract Into Infarcted Hearts Results in Functional Improvement Comparable to Intact Cell Therapy. Molecular Therapy. 17(7). 1250–1256. 80 indexed citations
15.
Adams, Bruce D., et al.. (2006). A Video Based Training Program Improves Defibrillator Inspection Compliance. The American Journal of Cardiology. 97(4). 578–579. 1 indexed citations
16.
Shih, Henry, et al.. (1998). Non-Invasive, Real-Time Bioimpedance Hemodynamic Monitoring in Patients Undergoing Low-Level Spinal Anesthesia. Regional Anesthesia & Pain Medicine. 23(Suppl 1). 76–76. 2 indexed citations
17.
18.
Shih, Henry, et al.. (1997). An algorithm for real-time, continuous evaluation of left ventricular mechanics by single-beat estimation of arterial and ventricular elastance.. The Journal of Clinical Monitoring. 13(3). 157–170. 12 indexed citations
19.
Nomura, Minoru, Zak Hillel, Henry Shih, Maxine M. Kuroda, & Daniel M. Thys. (1997). The Association Between Doppler Transmitral Flow Variables Measured by Transesophageal Echocardiography and Pulmonary Capillary Wedge Pressure. Anesthesia & Analgesia. 84(3). 491–496. 6 indexed citations
20.

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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