William Hiesinger

3.7k total citations
84 papers, 1.9k citations indexed

About

William Hiesinger is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, William Hiesinger has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 37 papers in Biomedical Engineering and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in William Hiesinger's work include Mechanical Circulatory Support Devices (34 papers), Cardiac Structural Anomalies and Repair (30 papers) and Transplantation: Methods and Outcomes (22 papers). William Hiesinger is often cited by papers focused on Mechanical Circulatory Support Devices (34 papers), Cardiac Structural Anomalies and Repair (30 papers) and Transplantation: Methods and Outcomes (22 papers). William Hiesinger collaborates with scholars based in United States, Canada and Germany. William Hiesinger's co-authors include Y. Joseph Woo, Pavan Atluri, Jeffrey Е. Cohen, John W. MacArthur, Yasuhiro Shudo, Michael A. Acker, Rohan Shad, Jessica Howard, Ryan C. McCormick and John R. Frederick and has published in prestigious journals such as Circulation, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

William Hiesinger

79 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Hiesinger United States 22 1.2k 794 617 369 304 84 1.9k
Goro Matsumiya Japan 29 1.9k 1.7× 840 1.1× 1.1k 1.7× 583 1.6× 252 0.8× 239 3.2k
Shunsuke Saito Japan 25 1.0k 0.9× 676 0.9× 576 0.9× 219 0.6× 327 1.1× 181 1.9k
Rudolph L. Gleason United States 23 638 0.6× 989 1.2× 505 0.8× 418 1.1× 106 0.3× 69 1.9k
Leora B. Balsam United States 20 2.1k 1.8× 467 0.6× 1.2k 1.9× 211 0.6× 194 0.6× 66 3.3k
Kazunobu Nishimura Japan 27 945 0.8× 512 0.6× 1.1k 1.9× 341 0.9× 69 0.2× 128 2.4k
Jens Garbade Germany 30 1.9k 1.7× 955 1.2× 1.8k 2.8× 586 1.6× 404 1.3× 189 3.1k
Yasuhiro Shudo United States 22 1.2k 1.0× 607 0.8× 582 0.9× 158 0.4× 153 0.5× 130 1.7k
Deborah Vela United States 22 1.1k 0.9× 509 0.6× 606 1.0× 236 0.6× 31 0.1× 68 2.5k
Akinobu Itoh United States 23 1.4k 1.2× 1.3k 1.6× 1.2k 1.9× 141 0.4× 590 1.9× 102 2.3k
Gilles Rioufol France 27 1.7k 1.5× 662 0.8× 2.0k 3.2× 591 1.6× 961 3.2× 125 4.0k

Countries citing papers authored by William Hiesinger

Since Specialization
Citations

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

Fields of papers citing papers by William Hiesinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Hiesinger

This figure shows the co-authorship network connecting the top 25 collaborators of William Hiesinger. A scholar is included among the top collaborators of William Hiesinger 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 William Hiesinger. William Hiesinger 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.
Schramm, René, Jeffrey J. Teuteberg, Yasuhiro Shudo, et al.. (2025). Which Donor and Recipient Risk Factors Matter in Heart Transplantation? Results From a Survey of 53 Centers Across Five Countries. Clinical Transplantation. 39(6). e70214–e70214.
2.
Krishnan, Aravind, Brandon A. Guenthart, Yasuhiro Shudo, et al.. (2024). Beating Heart Transplant Procedures Using Organs From Donors With Circulatory Death. JAMA Network Open. 7(3). e241828–e241828. 10 indexed citations
3.
Rahman, Ahmad Taufek Abdul, et al.. (2024). 7543 Comparative Analysis Of Language Model Systems In Endocrinology: Performance And Human Acceptability Assessment. Journal of the Endocrine Society. 8(Supplement_1).
4.
Nakamura, Ken, Alex R. Dalal, Albert J Pedroza, et al.. (2023). Lineage-Specific Induced Pluripotent Stem Cell–Derived Smooth Muscle Cell Modeling Predicts Integrin Alpha-V Antagonism Reduces Aortic Root Aneurysm Formation in Marfan Syndrome Mice. Arteriosclerosis Thrombosis and Vascular Biology. 43(7). 1134–1153. 21 indexed citations
5.
Shad, Rohan, et al.. (2022). Controlled Comparison of Simulated Hemodynamics Across Tricuspid and Bicuspid Aortic Valves. Annals of Biomedical Engineering. 50(9). 1053–1072. 8 indexed citations
6.
Shah, Palak, M. Yuzefpolskaya, Gavin Hickey, et al.. (2022). Twelfth Interagency Registry for Mechanically Assisted Circulatory Support Report: Readmissions After Left Ventricular Assist Device. The Annals of Thoracic Surgery. 113(3). 722–737. 88 indexed citations
7.
Shad, Rohan, et al.. (2021). A design-based model of the aortic valve for fluid-structure interaction. Biomechanics and Modeling in Mechanobiology. 20(6). 2413–2435. 20 indexed citations
8.
Shad, Rohan, Nicolas Quach, Robyn Fong, et al.. (2021). Predicting post-operative right ventricular failure using video-based deep learning. Nature Communications. 12(1). 5192–5192. 45 indexed citations
9.
Shad, Rohan, Robyn Fong, Nicolas Quach, et al.. (2021). Patient-Specific Computational Fluid Dynamics Reveal Localized Flow Patterns Predictive of Post–Left Ventricular Assist Device Aortic Incompetence. Circulation Heart Failure. 14(7). e008034–e008034. 11 indexed citations
10.
Guenthart, Brandon A., Tiffany Koyano, Joshua L. Chan, et al.. (2021). Extended Static Hypothermic Preservation In Cardiac Transplantation: A Case Report. Transplantation Proceedings. 53(8). 2509–2511. 8 indexed citations
11.
Shad, Rohan, et al.. (2021). Computational Fluid Dynamics Simulations to Predict False Lumen Enlargement After Surgical Repair of Type-A Aortic Dissection. Seminars in Thoracic and Cardiovascular Surgery. 34(2). 443–448. 7 indexed citations
12.
Tremblay‐Gravel, Maxime, Yasbanoo Moayedi, Wenjia Yang, et al.. (2020). Use of direct oral anticoagulants after heart transplantation. The Journal of Heart and Lung Transplantation. 39(4). 399–401. 11 indexed citations
13.
14.
Fong, Robyn, et al.. (2020). Use of patient-specific computational models for optimization of aortic insufficiency after implantation of left ventricular assist device. Journal of Thoracic and Cardiovascular Surgery. 162(5). 1556–1563. 17 indexed citations
15.
Zhu, Yuanjia, Bharathi Lingala, Michael Baiocchi, et al.. (2020). Type A Aortic Dissection—Experience Over 5 Decades. Journal of the American College of Cardiology. 76(14). 1703–1713. 144 indexed citations
16.
Amsallem, Myriam, Karim Sallam, Kegan Moneghetti, et al.. (2018). The Incremental Value of Right Ventricular Size and Strain in the Risk Assessment of Right Heart Failure Post - Left Ventricular Assist Device Implantation. Journal of Cardiac Failure. 24(12). 823–832. 21 indexed citations
17.
Hiesinger, William, Jack H. Boyd, & Y. Joseph Woo. (2014). Ventricular assist device implantation in the elderly. PMC. 1 indexed citations
18.
Ullery, Brant W., John W. MacArthur, Alexander S. Fairman, et al.. (2012). Rapid onset of fulminant myocarditis portends a favourable prognosis and the ability to bridge mechanical circulatory support to recovery. European Journal of Cardio-Thoracic Surgery. 43(2). 379–382. 23 indexed citations
19.
MacArthur, John W., Alen Trubelja, Yasuhiro Shudo, et al.. (2012). Mathematically engineered stromal cell–derived factor-1α stem cell cytokine analog enhances mechanical properties of infarcted myocardium. Journal of Thoracic and Cardiovascular Surgery. 145(1). 278–284. 15 indexed citations
20.
Hiesinger, William, et al.. (2010). Spliced stromal cell-derived factor-1α analog stimulates endothelial progenitor cell migration and improves cardiac function in a dose-dependent manner after myocardial infarction. Journal of Thoracic and Cardiovascular Surgery. 140(5). 1174–1180. 23 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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