Daixin Ding

1.3k total citations
39 papers, 717 citations indexed

About

Daixin Ding is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daixin Ding has authored 39 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 31 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daixin Ding's work include Coronary Interventions and Diagnostics (34 papers), Cardiac Imaging and Diagnostics (31 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). Daixin Ding is often cited by papers focused on Coronary Interventions and Diagnostics (34 papers), Cardiac Imaging and Diagnostics (31 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). Daixin Ding collaborates with scholars based in China, Ireland and Italy. Daixin Ding's co-authors include Shengxian Tu, William Wijns, Bo Xu, Jiayue Huang, Yunxiao Chang, Chunming Li, Wei Yu, Jelmer Westra, Yundai Chen and Niels Ramsing Holm and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and American Heart Journal.

In The Last Decade

Daixin Ding

35 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daixin Ding China 14 614 562 416 135 66 39 717
Antonino Nicosia Italy 10 340 0.6× 270 0.5× 187 0.4× 144 1.1× 50 0.8× 24 430
Jiayue Huang China 11 387 0.6× 320 0.6× 225 0.5× 109 0.8× 56 0.8× 36 434
K Hattori Japan 7 216 0.4× 126 0.2× 117 0.3× 119 0.9× 44 0.7× 11 324
Chris Naoum Australia 5 261 0.4× 537 1.0× 318 0.8× 73 0.5× 204 3.1× 7 675
Artur Dębski Poland 9 255 0.4× 232 0.4× 204 0.5× 57 0.4× 48 0.7× 45 354
Philip Montana United States 4 151 0.2× 277 0.5× 160 0.4× 43 0.3× 51 0.8× 4 338
Annika Schuhbäck Germany 9 317 0.5× 442 0.8× 229 0.6× 73 0.5× 179 2.7× 15 531
Laurens J.C. van Zandvoort Netherlands 12 417 0.7× 358 0.6× 339 0.8× 65 0.5× 49 0.7× 42 478
Carlos Macaya Spain 10 309 0.5× 208 0.4× 270 0.6× 90 0.7× 30 0.5× 20 385
Alina G. van der Giessen Netherlands 10 327 0.5× 287 0.5× 224 0.5× 162 1.2× 86 1.3× 13 449

Countries citing papers authored by Daixin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Daixin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daixin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Daixin Ding. A scholar is included among the top collaborators of Daixin Ding 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 Daixin Ding. Daixin Ding 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.
Fezzi, Simone, Norma Bargary, Daixin Ding, et al.. (2025). Validation of machine learning angiography-derived physiological pattern of coronary artery disease. European Heart Journal - Digital Health. 6(4). 577–586. 2 indexed citations
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.
Yang, Wentao, Yizhe Wu, Chenguang Li, et al.. (2025). A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels. EuroIntervention. 21(20). e1211–e1223.
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.
Fezzi, Simone, Gabriele Pesarini, Daixin Ding, et al.. (2024). Influence of physiological patterns of coronary disease on fractional flow reserve and instantaneous wave-free ratio changes in patients undergoing TAVI. International Journal of Cardiology. 420. 132761–132761. 2 indexed citations
6.
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
7.
Fezzi, Simone, Daixin Ding, Felix Mahfoud, et al.. (2024). Illusion of revascularization: does anyone achieve optimal revascularization during percutaneous coronary intervention?. Nature Reviews Cardiology. 21(9). 652–662. 13 indexed citations
8.
Li, Zehang, Daixin Ding, Ming Li, et al.. (2024). Diagnostic performance of fully automatic coronary CT angiography-based quantitative flow ratio. Journal of cardiovascular computed tomography. 19(1). 40–47. 1 indexed citations
9.
Fezzi, Simone, Daixin Ding, Roberto Scarsini, et al.. (2023). Integrated Assessment of Computational Coronary Physiology From a Single Angiographic View in Patients Undergoing TAVI. Circulation Cardiovascular Interventions. 16(10). e013185–e013185. 9 indexed citations
10.
Xu, Tianxiao, Wei Yu, Daixin Ding, et al.. (2023). Diagnostic Performance of Intracoronary Optical Coherence Tomography-Modulated Quantitative Flow Ratio for Assessing Coronary Stenosis. Journal of the Society for Cardiovascular Angiography & Interventions. 2(5). 101043–101043. 3 indexed citations
11.
Ding, Daixin, Jelmer Westra, Yingguang Li, et al.. (2023). Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis. EuroIntervention. 19(2). e145–e154. 11 indexed citations
12.
Ninomiya, Kai, Daixin Ding, Neil O’Leary, et al.. (2023). Murray law-based quantitative flow ratio to assess left main bifurcation stenosis: selecting the angiographic projection matters. The International Journal of Cardiovascular Imaging. 40(1). 195–206. 5 indexed citations
13.
Wu, Xinlei, Neil O’Leary, Mattia Lunardi, et al.. (2022). TCTAP A-072 Immediate Effect of Percutaneous Coronary Intervention by Bioresorbable Scaffold or Drug-Eluting Stent on Superficial Wall Strain of Stenotic Coronary Arteries. Journal of the American College of Cardiology. 79(15). S45–S46. 2 indexed citations
14.
Ding, Daixin, Shengxian Tu, Yunxiao Chang, et al.. (2022). Quantitative Flow Ratio Based on Murray Fractal Law: Accuracy of Single Versus Two Angiographic Views. Journal of the Society for Cardiovascular Angiography & Interventions. 1(5). 100399–100399. 13 indexed citations
15.
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
16.
Yu, Wei, Toru Tanigaki, Daixin Ding, et al.. (2020). TCT CONNECT-202 Diagnostic Accuracy of Novel Ultrasonic Flow Ratio in Identifying Hemodynamical Significance of Coronary Stenosis. Journal of the American College of Cardiology. 76(17). B86–B86. 2 indexed citations
17.
Tu, Shengxian, Jiayue Huang, Hiroki Emori, et al.. (2019). TCT-343 Diagnostic Accuracy and Reproducibility of Optical Coherence Tomography–Based Fractional Flow Reserve for Functional Evaluation of Coronary Stenosis. Journal of the American College of Cardiology. 74(13). B340–B340. 1 indexed citations
18.
Yu, Wei, Jiayue Huang, Shao‐Liang Chen, et al.. (2019). Diagnostic accuracy of intracoronary optical coherence tomography-derived fractional flow reserve for assessment of coronary stenosis severity. EuroIntervention. 15(2). 189–197. 93 indexed citations
19.
Ding, Daixin, Junqing Yang, Jelmer Westra, et al.. (2019). Accuracy of 3-dimensional and 2-dimensional quantitative coronary angiography for predicting physiological significance of coronary stenosis: a FAVOR II substudy. Cardiovascular Diagnosis and Therapy. 9(5). 481–491. 7 indexed citations
20.
Zhang, Yimin, Su Zhang, Jelmer Westra, et al.. (2018). Automatic coronary blood flow computation: validation in quantitative flow ratio from coronary angiography. International journal of cardiac imaging. 35(4). 587–595. 27 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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