Kai Nogami

514 total citations
51 papers, 310 citations indexed

About

Kai Nogami is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Kai Nogami has authored 51 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Cardiology and Cardiovascular Medicine and 32 papers in Surgery. Recurrent topics in Kai Nogami's work include Cardiac Imaging and Diagnostics (41 papers), Coronary Interventions and Diagnostics (27 papers) and Cardiovascular Disease and Adiposity (21 papers). Kai Nogami is often cited by papers focused on Cardiac Imaging and Diagnostics (41 papers), Coronary Interventions and Diagnostics (27 papers) and Cardiovascular Disease and Adiposity (21 papers). Kai Nogami collaborates with scholars based in Japan, United States and South Korea. Kai Nogami's co-authors include Tsunekazu Kakuta, Yoshihisa Kanaji, Masahiro Hada, Taishi Yonetsu, Toru Misawa, Masahiro Hoshino, Tomoyo Sugiyama, Hiroki Ueno, Masao Yamaguchi and Eisuke Usui and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Kai Nogami

42 papers receiving 306 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 Nogami Japan 10 227 153 138 53 35 51 310
Ruth Willis United Kingdom 9 123 0.5× 47 0.3× 133 1.0× 7 0.1× 55 1.6× 15 279
Paolo Manca Italy 10 249 1.1× 100 0.7× 34 0.2× 9 0.2× 35 1.0× 27 350
Marco Ochs Germany 12 227 1.0× 39 0.3× 166 1.2× 7 0.1× 22 0.6× 34 344
Evangelia Papadopoulou Greece 7 234 1.0× 41 0.3× 53 0.4× 5 0.1× 25 0.7× 10 290
Alice Maltret France 12 550 2.4× 60 0.4× 21 0.2× 29 0.5× 10 0.3× 37 640
Samantha R. Goldburg United States 9 87 0.4× 265 1.7× 26 0.2× 16 0.3× 32 0.9× 16 458
Todd T. Tomson United States 12 501 2.2× 89 0.6× 42 0.3× 55 1.0× 9 0.3× 16 599
Leo Pölzl Austria 6 56 0.2× 43 0.3× 30 0.2× 9 0.2× 19 0.5× 25 136
S Ho United Kingdom 3 266 1.2× 40 0.3× 23 0.2× 18 0.3× 9 0.3× 4 331
Adam Christopher United States 8 84 0.4× 44 0.3× 38 0.3× 5 0.1× 70 2.0× 35 196

Countries citing papers authored by Kai Nogami

Since Specialization
Citations

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

Fields of papers citing papers by Kai Nogami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Nogami

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Nogami. A scholar is included among the top collaborators of Kai Nogami 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 Nogami. Kai Nogami 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.
Mineo, Takashi, Eisuke Usui, Yoshihisa Kanaji, et al.. (2025). CT Predictors of Epicardial Coronary Spasm in Patients With Angina and Nonobstructive Coronary Arteries. Circulation Cardiovascular Imaging. 18(4). e017565–e017565. 3 indexed citations
2.
Kanaji, Yoshihisa, Eisuke Usui, Masahiro Hada, et al.. (2025). Increasing Extracellular Volume Fraction on Coronary CTA in Patients With Coronary Microvascular Dysfunction. Circulation Cardiovascular Imaging. 18(11). e018368–e018368.
3.
Nogami, Kai, Yoshihisa Kanaji, Takumi Toya, et al.. (2025). Chest pain patterns and coronary microvascular function in non-obstructive coronary artery disease. EuroIntervention. 21(17). e995–e1004. 1 indexed citations
4.
Nogami, Kai, et al.. (2025). Long-term temporal trend in plaque eccentricity assessed through intravascular ultrasound imaging after heart transplantation. International Journal of Cardiology. 444. 134022–134022.
6.
Hada, Masahiro, Eisuke Usui, Yoshihisa Kanaji, et al.. (2024). Discordant diagnosis of coronary microvascular dysfunction by microvascular resistance reserve: Transthoracic Doppler echocardiography vs bolus thermodilution method. Hellenic Journal of Cardiology. 2 indexed citations
7.
Nogami, Kai, Yoshihisa Kanaji, Eisuke Usui, et al.. (2024). Prognostic Value of Endogenous-Type Coronary Microvascular Dysfunction After Elective Percutaneous Coronary Intervention. Circulation Journal. 89(3). 292–302. 3 indexed citations
10.
Ueno, Hiroki, Masahiro Hoshino, Eisuke Usui, et al.. (2023). Prognostic Implications of Fractional Flow Reserve and Coronary Flow Reserve After Drug-Eluting Stent Implantation. Circulation Journal. 88(6). 853–859. 5 indexed citations
11.
Hoshino, Masahiro, Taishi Yonetsu, Tomoyo Sugiyama, et al.. (2023). Identification of Optical Coherence Tomography‐Defined Coronary Plaque Erosion by Preprocedural Computed Tomography Angiography. Journal of the American Heart Association. 12(10). e029239–e029239. 6 indexed citations
12.
Hoshino, M., Eisuke Usui, Tomoyo Sugiyama, et al.. (2023). Combined Assessment of Fractional Flow Reserve and Coronary Flow Velocity Reserve after Drug-Eluting Stent Implantation. Journal of the American Society of Echocardiography. 37(4). 428–438. 2 indexed citations
13.
Yamaguchi, Masao, Masahiro Hoshino, Tomoyo Sugiyama, et al.. (2022). Preprocedural transthoracic Doppler echocardiography to identify stenosis associated with increased coronary flow after revascularisation. Scientific Reports. 12(1). 1667–1667. 2 indexed citations
14.
Nogami, Kai, Masahiro Hoshino, Yoshihisa Kanaji, et al.. (2022). Prognostic implications of unrecognized myocardial infarction before elective percutaneous coronary intervention. Scientific Reports. 12(1). 21579–21579. 2 indexed citations
15.
Kanaji, Yoshihisa, Tomoyo Sugiyama, Masahiro Hoshino, et al.. (2021). THE IMPACT OF PERICORONARY ADIPOSE TISSUE ATTENUATION ON GLOBAL CORONARY FLOW RESERVE IN PATIENTS WITH STABLE CORONARY ARTERY DISEASE. Journal of the American College of Cardiology. 77(18). 1433–1433. 2 indexed citations
16.
Kanaji, Yoshihisa, Tomoyo Sugiyama, Masahiro Hoshino, et al.. (2021). Physiological significance of pericoronary inflammation in epicardial functional stenosis and global coronary flow reserve. Scientific Reports. 11(1). 19026–19026. 12 indexed citations
18.
Ueno, Hiroki, Masahiro Hoshino, Tomoyo Sugiyama, et al.. (2020). Pericoronary Adipose Tissue Inflammation on Coronary Computed Tomography in Patients With Vasospastic Angina. JACC. Cardiovascular imaging. 14(2). 511–512. 18 indexed citations
19.
Ueno, Hiroki, Masahiro Hoshino, Tomoyo Sugiyama, et al.. (2020). PERIVASCULAR ADIPOSE TISSUE INFLAMMATION ON CORONARY COMPUTED TOMOGRAPHY IN PATIENTSWITH VASOSPASTIC ANGINA PERIVASCULAR ADIPOSE TISSUE INFLAMMATION ON CORONARY COMPUTED TOMOGRAPHY IN PATIENTSWITH VASOSPASTIC ANGINA. Journal of the American College of Cardiology. 75(11). 1808–1808. 1 indexed citations
20.
Nagano, Yoshiko, Atsuhiko Hasegawa, Kai Nogami, et al.. (2017). IL-10-mediated signals act as a switch for lymphoproliferation in Human T-cell leukemia virus type-1 infection by activating the STAT3 and IRF4 pathways. PLoS Pathogens. 13(9). e1006597–e1006597. 43 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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