Hiroki Shiomi

9.5k total citations · 1 hit paper
129 papers, 2.4k citations indexed

About

Hiroki Shiomi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hiroki Shiomi has authored 129 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Cardiology and Cardiovascular Medicine, 82 papers in Surgery and 45 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hiroki Shiomi's work include Coronary Interventions and Diagnostics (66 papers), Cardiac Imaging and Diagnostics (45 papers) and Acute Myocardial Infarction Research (45 papers). Hiroki Shiomi is often cited by papers focused on Coronary Interventions and Diagnostics (66 papers), Cardiac Imaging and Diagnostics (45 papers) and Acute Myocardial Infarction Research (45 papers). Hiroki Shiomi collaborates with scholars based in Japan, United States and United Kingdom. Hiroki Shiomi's co-authors include Takeshi Kimura, Takeshi Morimoto, Yoshihisa Nakagawa, Yutaka Furukawa, Kazushige Kadota, Kenji Andò, Masahiro Natsuaki, Satoshi Shizuta, Koh Ono and Hirotoshi Watanabe and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and Circulation.

In The Last Decade

Hiroki Shiomi

118 papers receiving 2.4k citations

Hit Papers

ST-segment elevation myocardial infarction 2019 2026 2021 2023 2019 50 100 150 200

Peers

Hiroki Shiomi
Ian Menown United Kingdom
A. Yong Australia
Henry Liberman United States
Mehmet Çilingiroğlu United States
Claudia Stelzig Switzerland
Ian Menown United Kingdom
Hiroki Shiomi
Citations per year, relative to Hiroki Shiomi Hiroki Shiomi (= 1×) peers Ian Menown

Countries citing papers authored by Hiroki Shiomi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Shiomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Shiomi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Shiomi. A scholar is included among the top collaborators of Hiroki Shiomi 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 Hiroki Shiomi. Hiroki Shiomi 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.
Shiomi, Hiroki, Yugo Yamashita, Satoshi Koyama, et al.. (2024). CRISPR-Cas9-guided amplification-free genomic diagnosis for familial hypercholesterolemia using nanopore sequencing. PLoS ONE. 19(3). e0297231–e0297231. 5 indexed citations
2.
Kawaji, Tetsuma, Kazuhisa Kaneda, Hidenori Yaku, et al.. (2024). Intracardiac Energy Inefficiency During Decompensated and Compensated Heart Failure. ESC Heart Failure. 12(1). 101–109.
3.
Baba, Daisuke, Yugo Yamashita, Yuki Fukuda, et al.. (2024). Fat Embolism Syndrome Treated with Methylprednisolone. Internal Medicine. 64(13). 1993–1997.
4.
Nishikawa, Ryusuke, Hiroki Shiomi, Takeshi Morimoto, et al.. (2023). Effects of peripheral artery disease on long-term outcomes after percutaneous coronary intervention versus coronary artery bypass grafting in patients with severe coronary artery disease. Journal of Cardiology. 84(4). 279–286. 2 indexed citations
5.
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
6.
Yamamoto, Fumi, Masahiro Natsuaki, Shoichi Kuramitsu, et al.. (2021). Outcomes of Drug-Eluting Stent Thrombosis After Treatment for Acute Versus Chronic Coronary Syndrome. JACC: Cardiovascular Interventions. 14(10). 1082–1090. 7 indexed citations
7.
Hara, Hironori, Hiroki Shiomi, David van Klaveren, et al.. (2021). External Validation of the SYNTAX Score II 2020. Journal of the American College of Cardiology. 78(12). 1227–1238. 24 indexed citations
8.
Horie, Kazunori, Shoichi Kuramitsu, Tomohiro Shinozaki, et al.. (2020). Outcomes After First- Versus Second-Generation Drug-Eluting Stent Thrombosis (from the REAL-ST Registry). The American Journal of Cardiology. 132. 52–58. 7 indexed citations
9.
Ihdayhid, Abdul Rahman, Bjarne Linde Nørgaard, Sara Gaur, et al.. (2019). Prognostic Value and Risk Continuum of Noninvasive Fractional Flow Reserve Derived from Coronary CT Angiography. Radiology. 292(2). 343–351. 96 indexed citations
10.
Yamamoto, Ko, Hiroki Shiomi, Takeshi Morimoto, et al.. (2019). Effect of Renal Dysfunction on the Risks for Ischemic and Bleeding Events in Patients With Atrial Fibrillation Receiving Percutaneous Coronary Intervention. The American Journal of Cardiology. 125(3). 399–408. 3 indexed citations
11.
Vogel, Birgit, Bimmer E. Claessen, Suzanne V. Arnold, et al.. (2019). ST-segment elevation myocardial infarction. Nature Reviews Disease Primers. 5(1). 39–39. 234 indexed citations breakdown →
12.
Toyota, Toshiaki, Takeshi Morimoto, Hiroki Shiomi, et al.. (2017). Very Late Scaffold Thrombosis of Bioresorbable Vascular Scaffold. JACC: Cardiovascular Interventions. 10(1). 27–37. 51 indexed citations
13.
Nakatsuma, Kenji, Hiroki Shiomi, Masahiro Natsuaki, et al.. (2017). Second-generation versus first-generation drug-eluting stents in patients with and without diabetes mellitus: pooled analysis from the RESET and NEXT trials. Cardiovascular Intervention and Therapeutics. 33(2). 125–134. 11 indexed citations
14.
Yaku, Hidenori, Hiroki Shiomi, Takeshi Morimoto, et al.. (2016). COMPARISON OF SHORT- AND LONG-TERM MORTALITY BETWEEN ST-SEGMENT ELEVATION AND NON-ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 67(13). 50–50. 3 indexed citations
15.
Kawaji, Tetsuma, Hiroki Shiomi, Hiroshi Morishita, et al.. (2016). Feasibility and diagnostic performance of fractional flow reserve measurement derived from coronary computed tomography angiography in real clinical practice. International journal of cardiac imaging. 33(2). 271–281. 20 indexed citations
18.
Taniguchi, Tomohiko, Hiroki Shiomi, Toshiaki Toyota, et al.. (2014). Effect of Preinfarction Angina Pectoris on Long-term Survival in Patients With ST-Segment Elevation Myocardial Infarction Who Underwent Primary Percutaneous Coronary Intervention. The American Journal of Cardiology. 114(8). 1179–1186. 13 indexed citations
19.
Kimura, Takeshi, Hiroki Shiomi, Sachio Kuribayashi, et al.. (2014). Cost analysis of non-invasive fractional flow reserve derived from coronary computed tomographic angiography in Japan. Cardiovascular Intervention and Therapeutics. 30(1). 38–44. 40 indexed citations
20.
Bao, Bingyuan, Neiko Ozasa, Takeshi Morimoto, et al.. (2012). β-Blocker therapy and cardiovascular outcomes in patients who have undergone percutaneous coronary intervention after ST-elevation myocardial infarction. Cardiovascular Intervention and Therapeutics. 28(2). 139–147. 24 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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