Adam Updegrove

1.1k total citations · 1 hit paper
12 papers, 546 citations indexed

About

Adam Updegrove is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam Updegrove has authored 12 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam Updegrove's work include Cardiac Imaging and Diagnostics (7 papers), Coronary Interventions and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Adam Updegrove is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Coronary Interventions and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Adam Updegrove collaborates with scholars based in United States, United Kingdom and Switzerland. Adam Updegrove's co-authors include Nathan M. Wilson, Shawn C. Shadden, Alison L. Marsden, Hongzhi Lan, Jameson Merkow, Jesper Møller Jensen, Jonathon Leipsic, Bjarne Linde Nørgaard, Abdul Rahman Ihdayhid and Stephanie Sellers and has published in prestigious journals such as European Radiology, Journal of Biomechanical Engineering and Annals of Biomedical Engineering.

In The Last Decade

Adam Updegrove

10 papers receiving 539 citations

Hit Papers

SimVascular: An Open Source Pipeline for Cardiovascular S... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Updegrove United States 6 258 224 176 140 120 12 546
Jameson Merkow United States 4 200 0.8× 176 0.8× 145 0.8× 105 0.8× 87 0.7× 6 487
Marie Willemet United Kingdom 12 398 1.5× 170 0.8× 87 0.5× 139 1.0× 98 0.8× 16 551
Angela Lungu United Kingdom 6 272 1.1× 222 1.0× 142 0.8× 69 0.5× 129 1.1× 12 477
Nan Xiao United States 12 626 2.4× 353 1.6× 386 2.2× 252 1.8× 136 1.1× 15 1.0k
Jessica S. Coogan United States 7 365 1.4× 413 1.8× 108 0.6× 138 1.0× 258 2.1× 8 635
Tain-Yen Hsia United Kingdom 15 320 1.2× 307 1.4× 222 1.3× 264 1.9× 60 0.5× 28 857
Wouter P. Donders Netherlands 7 224 0.9× 123 0.5× 80 0.5× 110 0.8× 56 0.5× 8 421
Andrew Cookson United Kingdom 13 182 0.7× 113 0.5× 41 0.2× 154 1.1× 142 1.2× 26 444
Jonas Lantz Sweden 19 593 2.3× 325 1.5× 261 1.5× 113 0.8× 246 2.0× 38 870
Rodney Hose United Kingdom 8 242 0.9× 144 0.6× 117 0.7× 94 0.7× 49 0.4× 14 436

Countries citing papers authored by Adam Updegrove

Since Specialization
Citations

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

Fields of papers citing papers by Adam Updegrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Updegrove

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

All Works

12 of 12 papers shown
1.
Kageyama, Shigetaka, Kaoru Tanaka, Shinichiro Masuda, et al.. (2023). Discordance between Invasive and Non-Invasive Coronary Angiography: An In-Depth Functional and Anatomical Analysis. Biomedicines. 11(3). 913–913. 1 indexed citations
2.
Belmonte, Marta, Martin Pěnička, Lieven Van Hoe, et al.. (2023). Impact of coronary CT image quality on the accuracy of the FFRCT Planner. European Radiology. 34(4). 2677–2688. 6 indexed citations
3.
Ohashi, Hirofumi, Frédéric Bouisset, Dimitri Buytaert, et al.. (2023). Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention. Interventional Cardiology Reviews Research Resources. 18. e26–e26. 6 indexed citations
4.
Tsai, Tsung‐Ying, Shigetaka Kageyama, Fabio Ramponi, et al.. (2023). Complex coronary artery disease revascularization planning with computed tomography and 3-dimensional hologram. JTCVS Techniques. 20. 96–98.
5.
Mortensen, Martin Bødtker, Martin Busk, Jesper Møller Jensen, et al.. (2022). Influence of intensive lipid‐lowering on CT derived fractional flow reserve in patients with stable chest pain: Rationale and design of the FLOWPROMOTE study. Clinical Cardiology. 45(10). 986–994. 5 indexed citations
6.
Ihdayhid, Abdul Rahman, Timothy Fairbairn, Gaurav S. Gulsin, et al.. (2021). Cardiac computed tomography-derived coronary artery volume to myocardial mass. Journal of cardiovascular computed tomography. 16(3). 198–206. 11 indexed citations
7.
Wilson, Nathan M., et al.. (2018). Using a Science Gateway to Deliver SimVascular Software as a Service for Classroom Instruction. 1–4. 4 indexed citations
8.
Updegrove, Adam, Shawn C. Shadden, & Nathan M. Wilson. (2018). Construction of Analysis-Suitable Vascular Models Using Axis-Aligned Polycubes. Journal of Biomechanical Engineering. 141(6).
9.
Lan, Hongzhi, et al.. (2017). A Re-Engineered Software Interface and Workflow for the Open-Source SimVascular Cardiovascular Modeling Package. Journal of Biomechanical Engineering. 140(2). 76 indexed citations
10.
Updegrove, Adam, Nathan M. Wilson, Jameson Merkow, et al.. (2016). SimVascular: An Open Source Pipeline for Cardiovascular Simulation. Annals of Biomedical Engineering. 45(3). 525–541. 417 indexed citations breakdown →
11.
Updegrove, Adam, Nathan M. Wilson, & Shawn C. Shadden. (2016). Boolean and smoothing of discrete polygonal surfaces. Advances in Engineering Software. 95. 16–27. 18 indexed citations
12.
Lan, Hongzhi, Jameson Merkow, Adam Updegrove, et al.. (2015). SimVascular 2.0: an Integrated Open Source Pipeline for Image-Based Cardiovascular Modeling and Simulation. Bulletin of the American Physical Society. 2 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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