Kai Ninomiya

1.0k total citations
25 papers, 99 citations indexed

About

Kai Ninomiya is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kai Ninomiya has authored 25 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 17 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kai Ninomiya's work include Coronary Interventions and Diagnostics (22 papers), Cardiac Imaging and Diagnostics (17 papers) and Acute Myocardial Infarction Research (8 papers). Kai Ninomiya is often cited by papers focused on Coronary Interventions and Diagnostics (22 papers), Cardiac Imaging and Diagnostics (17 papers) and Acute Myocardial Infarction Research (8 papers). Kai Ninomiya collaborates with scholars based in Ireland, United Kingdom and Netherlands. Kai Ninomiya's co-authors include Shinichiro Masuda, Patrick W. Serruys, Scot Garg, Shigetaka Kageyama, Yoshinobu Onuma, Pruthvi C. Revaiah, Neil O’Leary, Michael J. Mack, Yoshinobu Onuma and David R. Holmes and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and American Heart Journal.

In The Last Decade

Kai Ninomiya

20 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Ninomiya Ireland 6 76 62 59 11 5 25 99
Plamen Gatzov Türkiye 2 64 0.8× 79 1.3× 64 1.1× 9 0.8× 2 0.4× 8 94
Paolo Racugno Spain 4 43 0.6× 65 1.0× 34 0.6× 16 1.5× 5 1.0× 9 93
Arturo Ausiello Italy 3 49 0.6× 46 0.7× 36 0.6× 9 0.8× 8 1.6× 5 61
Sung-Han Yoon United States 2 98 1.3× 78 1.3× 90 1.5× 20 1.8× 4 0.8× 2 108
Coen K.M. Boerhout Netherlands 6 70 0.9× 113 1.8× 113 1.9× 13 1.2× 4 0.8× 19 141
Tomoyo Hamana Japan 6 43 0.6× 47 0.8× 21 0.4× 12 1.1× 9 1.8× 30 75
Dmitrii Khelimskii Russia 3 62 0.8× 47 0.8× 37 0.6× 15 1.4× 3 0.6× 29 73
Sandro Brusich Croatia 4 59 0.8× 77 1.2× 29 0.5× 9 0.8× 3 0.6× 20 93
Hugo Vinhas Portugal 7 63 0.8× 68 1.1× 50 0.8× 32 2.9× 6 1.2× 28 105

Countries citing papers authored by Kai Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ninomiya

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Ninomiya. A scholar is included among the top collaborators of Kai Ninomiya 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 Kai Ninomiya. Kai Ninomiya 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.
Onuma, Yoshinobu, Kai Ninomiya, Krischan D. Sjauw, et al.. (2025). Accuracy of instantaneous wave-free ratio and fractional flow reserve derived from single coronary angiographic projections. American Heart Journal. 288. 111–121.
2.
Ninomiya, Kai, Patrick W. Serruys, Scot Garg, et al.. (2024). γ‐Glutamyl Transferase and Long‐Term Survival in the SYNTAXES Trial: Is It Just the Liver?. Journal of the American Heart Association. 13(8). e032276–e032276. 1 indexed citations
3.
4.
5.
Kageyama, Shigetaka, Kai Ninomiya, Yoshinobu Onuma, et al.. (2024). Five-year outcomes in patients with multivessel coronary artery disease undergoing surgery or percutaneous intervention. Scientific Reports. 14(1). 3218–3218. 2 indexed citations
6.
Ninomiya, Kai, Shigetaka Kageyama, Hiroki Shiomi, et al.. (2023). Can Machine Learning Aid the Selection of Percutaneous vs Surgical Revascularization?. Journal of the American College of Cardiology. 82(22). 2113–2124. 15 indexed citations
7.
Ninomiya, Kai, Patrick W. Serruys, Scot Garg, et al.. (2023). Appropriateness of the Modality of Revascularization According to the SYNTAX Score II 2020 in the FASTTRACK CABG Study: An Interim Report on Patient Selection. Cardiovascular revascularization medicine. 50. 34–40. 1 indexed citations
8.
Ninomiya, Kai, Patrick W. Serruys, Jinying Zhou, et al.. (2023). Anonymous Comparison of Various Angiography-Derived Fractional Flow Reserve Software With Pressure-Derived Physiological Assessment. JACC: Cardiovascular Interventions. 16(14). 1778–1790. 19 indexed citations
9.
Ninomiya, Kai, Shigetaka Kageyama, Scot Garg, et al.. (2023). Can machine learning unravel unsuspected, clinically important factors predictive of long-term mortality in complex coronary artery disease? A call for ‘big data’. European Heart Journal - Digital Health. 4(3). 275–278. 8 indexed citations
10.
Masuda, Shinichiro, Patrick W. Serruys, Shigetaka Kageyama, et al.. (2023). Treatment recommendation based on SYNTAX score 2020 derived from coronary computed tomography angiography and invasive coronary angiography. The International Journal of Cardiovascular Imaging. 39(9). 1795–1804. 1 indexed citations
11.
Kageyama, Shigetaka, Patrick W. Serruys, Scot Garg, et al.. (2023). Coronary computed tomography angiography-based SYNTAX score for comprehensive assessment of advanced coronary artery disease. Journal of cardiovascular computed tomography. 18(2). 120–136. 3 indexed citations
12.
Serruys, Patrick W., Pruthvi C. Revaiah, Kai Ninomiya, et al.. (2023). 10 Years of SYNTAX. JACC Asia. 3(3). 409–430. 8 indexed citations
13.
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
14.
Kageyama, Shigetaka, Kai Ninomiya, Shinichiro Masuda, et al.. (2023). TCT-283 Does a Systematic Screening Approach Contribute to Unravel Novel Risk Factors in Revascularization of Complex Coronary Artery Disease?. Journal of the American College of Cardiology. 82(17). B111–B112. 1 indexed citations
15.
Kageyama, Shigetaka, Kai Ninomiya, Shinichiro Masuda, et al.. (2023). Intravascular Ultrasound and Optical Coherent Tomography Combined Catheter. Interventional Cardiology Clinics. 12(2). 187–201. 1 indexed citations
16.
Masuda, Shinichiro, Kengo Tanabe, Patrícia O. Guimarães, et al.. (2023). Prasugrel Monotherapy After Percutaneous Coronary Intervention for Chronic Coronary Syndrome. JACC Asia. 4(3). 171–182. 1 indexed citations
17.
Masuda, Shinichiro, Patrick W. Serruys, Kai Ninomiya, et al.. (2023). Impact of left ventricular ejection fraction on 10-year mortality in the SYNTAX trial. Cardiovascular revascularization medicine. 58. 7–15. 3 indexed citations
18.
Kageyama, Shigetaka, Patrick W. Serruys, Scot Garg, et al.. (2022). Geographic disparity in 10-year mortality after coronary artery revascularization in the SYNTAXES trial. International Journal of Cardiology. 368. 28–38. 3 indexed citations
19.
Ninomiya, Kai, Patrick W. Serruys, Scot Garg, et al.. (2022). Predicted and Observed Mortality at 10 Years in Patients With Bifurcation Lesions in the SYNTAX Trial. JACC: Cardiovascular Interventions. 15(12). 1231–1242. 16 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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