Shengxian Tu

6.5k total citations · 2 hit papers
207 papers, 3.7k citations indexed

About

Shengxian Tu is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shengxian Tu has authored 207 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Surgery, 145 papers in Radiology, Nuclear Medicine and Imaging and 82 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shengxian Tu's work include Coronary Interventions and Diagnostics (167 papers), Cardiac Imaging and Diagnostics (138 papers) and Cerebrovascular and Carotid Artery Diseases (45 papers). Shengxian Tu is often cited by papers focused on Coronary Interventions and Diagnostics (167 papers), Cardiac Imaging and Diagnostics (138 papers) and Cerebrovascular and Carotid Artery Diseases (45 papers). Shengxian Tu collaborates with scholars based in China, Netherlands and Ireland. Shengxian Tu's co-authors include William Wijns, Johan H. C. Reiber, Niels Ramsing Holm, Bo Xu, Daixin Ding, Emanuele Barbato, Yingguang Li, Jelmer Westra, Junqing Yang and Yundai Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Shengxian Tu

187 papers receiving 3.6k citations

Hit Papers

Diagnostic Accuracy of Fa... 2016 2026 2019 2022 2016 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengxian Tu China 31 2.9k 2.5k 2.0k 781 380 207 3.7k
Gastón A. Rodríguez-Granillo Argentina 30 2.6k 0.9× 2.0k 0.8× 1.8k 0.9× 787 1.0× 562 1.5× 131 3.5k
Jiro Aoki Japan 37 3.8k 1.3× 2.0k 0.8× 3.0k 1.5× 1.3k 1.7× 328 0.9× 145 5.2k
Héctor M. García‐García Netherlands 44 5.4k 1.8× 3.0k 1.2× 2.9k 1.4× 2.2k 2.8× 974 2.6× 218 6.5k
Tae Hoon Kim South Korea 21 409 0.1× 634 0.2× 426 0.2× 907 1.2× 372 1.0× 116 1.9k
Michail I. Papafaklis Greece 30 2.2k 0.8× 1.4k 0.5× 1.7k 0.8× 820 1.0× 355 0.9× 116 3.0k
Christos V. Bourantas United Kingdom 39 3.9k 1.3× 2.6k 1.0× 2.8k 1.4× 1.7k 2.2× 714 1.9× 262 5.4k
Scot Garg United Kingdom 34 4.3k 1.5× 2.4k 1.0× 3.9k 1.9× 1.2k 1.5× 359 0.9× 187 5.7k
Chengcheng Zhu China 29 217 0.1× 589 0.2× 718 0.4× 1.7k 2.2× 227 0.6× 170 2.8k
William E. Katz United States 23 600 0.2× 632 0.2× 1.5k 0.7× 411 0.5× 223 0.6× 85 2.0k
Patrick W. Serruys Netherlands 35 3.8k 1.3× 1.6k 0.6× 2.9k 1.4× 1.1k 1.5× 247 0.7× 90 4.4k

Countries citing papers authored by Shengxian Tu

Since Specialization
Citations

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

Fields of papers citing papers by Shengxian Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengxian Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengxian Tu. A scholar is included among the top collaborators of Shengxian Tu 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 Shengxian Tu. Shengxian Tu 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.
Kageyama, Shigetaka, Kotaro Miyashita, Akihiro Tobe, et al.. (2025). Diffuseness of coronary artery disease impacts on immediate hemodynamic and predicted clinical outcomes. Scientific Reports. 15(1). 2228–2228.
2.
Fezzi, Simone, Cecilia Rossignoli, Daixin Ding, et al.. (2025). Coronary physiology in the catheterization laboratory: current practices, historical insights, and future directions. PubMed. 10(3). 217–234.
3.
Zhang, Chenghui, et al.. (2024). Two-dimensional molybdenum boride coordinating with ruthenium nanoparticles to boost hydrogen generation from hydrolytic dehydrogenation of ammonia borane. Journal of Colloid and Interface Science. 669. 794–803. 22 indexed citations
4.
Rasmussen, Laust Dupont, Daixin Ding, Shengxian Tu, et al.. (2024). Optimal diagnostic approach for using CT-derived quantitative flow ratio in patients with stenosis on coronary computed tomography angiography. Journal of cardiovascular computed tomography. 18(2). 162–169. 2 indexed citations
5.
Aurigemma, Cristina, Daixin Ding, Shengxian Tu, et al.. (2024). Three-Year Clinical Impact of Murray Law-Based Quantitative Flow Ratio and OCT- or FFR-Guidance in Angiographically Intermediate Coronary Lesions. Circulation Cardiovascular Interventions. 17(5). e013191–e013191. 3 indexed citations
6.
Yang, Fan, Chenguang Li, Wei Yu, et al.. (2024). In Vivo Quantitative Imaging of Coronary Blood Flow by Intracoronary Doppler OCT. IEEE Transactions on Biomedical Engineering. 72(5). 1665–1673. 2 indexed citations
7.
Yang, Cheng, Changdong Guan, Yan-Lu Xu, et al.. (2024). Diagnostic performance of intravascular ultrasound-based fractional flow reserve in evaluating of intermediate left main stenosis. Journal of Geriatric Cardiology. 21(1). 34–43. 1 indexed citations
8.
Zuo, Wenjie, Xinjian Yang, Zhenjun Ji, et al.. (2023). Impact of calcification on Murray law-based quantitative flow ratio for physiological assessment of intermediate coronary stenoses. Cardiology Journal. 31(2). 205–214. 4 indexed citations
9.
Andreasen, Lene Nyhus, Christian Juhl Terkelsen, Emil Nielsen Holck, et al.. (2023). Early healing after treatment of coronary lesions by thin strut everolimus, or thicker strut biolimus eluting bioabsorbable polymer stents: The SORT‐OUT VIII OCT study. Catheterization and Cardiovascular Interventions. 101(4). 787–797. 2 indexed citations
10.
Chu, Miao, Jordi Sans‐Roselló, Estefanıa Fernández‐Peregrina, et al.. (2022). In-Hospital Heart Failure in Patients With Takotsubo Cardiomyopathy Due to Coronary Artery Disease: An Artificial Intelligence and Optical Coherence Tomography Study. Cardiovascular revascularization medicine. 47. 40–45. 1 indexed citations
11.
Ding, Daixin, Jiayue Huang, Jelmer Westra, et al.. (2021). Immediate post-procedural functional assessment of percutaneous coronary intervention: current evidence and future directions. European Heart Journal. 42(27). 2695–2707. 34 indexed citations
12.
Westra, Jelmer, Ashkan Eftekhari, Shengxian Tu, et al.. (2020). Resting distal to aortic pressure ratio and fractional flow reserve discordance affects the diagnostic performance of quantitative flow ratio: Results from an individual patient data meta‐analysis. Catheterization and Cardiovascular Interventions. 97(5). 825–832. 3 indexed citations
13.
Ge, Xinyang, Youjun Liu, Shengxian Tu, et al.. (2019). Model‐based analysis of the sensitivities and diagnostic implications of FFR and CFR under various pathological conditions. International Journal for Numerical Methods in Biomedical Engineering. 37(11). e3257–e3257. 22 indexed citations
14.
Li, Shiqiang, Rey Chin, Vikas Thondapu, et al.. (2017). Numerical and experimental investigations of the flow–pressure relation in multiple sequential stenoses coronary artery. International journal of cardiac imaging. 33(7). 1083–1088. 15 indexed citations
15.
Tu, Shengxian, Fudong Hu, Wei Cai, et al.. (2016). Visualizing polymeric bioresorbable scaffolds with three-dimensional image reconstruction using contrast-enhanced micro-computed tomography. International journal of cardiac imaging. 33(5). 731–737. 5 indexed citations
16.
Westra, Jelmer, Shengxian Tu, Louise Nissen, et al.. (2016). TCT-10 Physiological testing of coronary artery stenosis by computation of invasive coronary angiography. The wire-free functional imaging (WIFI-II) study. Journal of the American College of Cardiology. 68(18). B4–B5. 1 indexed citations
17.
Tu, Shengxian, Michiel A. de Graaf, Liang Xu, et al.. (2014). Automatic extraction of arterial centerline from whole-body computed tomography angiographic datasets. Computing in Cardiology Conference. 697–700. 3 indexed citations
18.
Καρανάσος, Αντώνιος, Shengxian Tu, Jürgen Ligthart, et al.. (2014). A novel method to assess coronary artery bifurcations by OCT: Cut-plane analysis for side-branch ostial assessment from a main vessel pullback. European Heart Journal. 35. 1145–1145. 4 indexed citations
19.
Tu, Shengxian, Xiaohui Jiang, Xiaohui Jiang, et al.. (2011). Study of the interaction of gemini surfactant NAE12-4-12 with bovine serum albumin. Journal of Luminescence. 132(2). 381–385. 22 indexed citations
20.
Tu, Shengxian, Gerhard Koning, J. Wouter Jukema, & Johan H. C. Reiber. (2009). Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms. International journal of cardiac imaging. 26(1). 5–17. 32 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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