Makoto Hiki
-
- Cardiovascular Disease and Adiposity 6
- Cardiovascular Function and Risk Factors 6
-
- Cardiac Imaging and Diagnostics 27
- Advanced MRI Techniques and Applications 10
- Biochemistry top 10%
- Nutrition and Dietetics top 10%
-
- Coronary Interventions and Diagnostics 16
-
- Advanced X-ray and CT Imaging 16
-
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 and COVID-19 Research 9
- Co-authors
- Hiroyuki DaidaTetsuro MiyazakiKazunori ShimadaTakashi KiyanagiAtsumi KumeRie MatsumoriKosuke FukaoKuniaki Hirose
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- Circulation (3 papers)SHILAP Revista de lepidopterología (3 papers)Journal of the American College of Cardiology (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Makoto Hiki
68 papers receiving 754 citations
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 231
- Radiology, Nuclear Medicine and Imaging 216
- Critical Care and Intensive Care Medicine 41
- Biochemistry 56
- Nutrition and Dietetics 107
Countries citing papers authored by Makoto Hiki
This map shows the geographic impact of Makoto Hiki'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 Makoto Hiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Hiki more than expected).
Fields of papers citing papers by Makoto Hiki
This network shows the impact of papers produced by Makoto Hiki. 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 Makoto Hiki. The network helps show where Makoto Hiki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Hiki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 17 | |
| 12 | Abstract 12206: Fully Automated 3D Deep-Learning Analysis of Coronary CT Angiography : Prediction of Fractional Flow Reserve | 2018 | 1 |
| 13 | 2018 | 8 | |
| 14 | 2018 | 40 | |
| 15 | 2017 | 5 | |
| 16 | 2016 | 16 | |
| 17 | 2016 | 1 | |
| 18 | 2012 | 15 | |
| 19 | 2010 | 18 | |
| 20 | 高レベルの飽和極長鎖脂肪酸(C26:0)は冠状動脈疾患に対する新しい独立した危険マーカーである | 2007 | 1 |
About Makoto Hiki
Makoto Hiki is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 78 papers that have together received 771 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (27 papers), Coronary Interventions and Diagnostics (16 papers), Advanced X-ray and CT Imaging (16 papers), COVID-19 Clinical Research Studies (11 papers), Advanced MRI Techniques and Applications (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Cardiovascular Disease and Adiposity (6 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (231 citations), Radiology, Nuclear Medicine and Imaging (216 citations) and Critical Care and Intensive Care Medicine (41 citations). Makoto Hiki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroyuki Daida, Tetsuro Miyazaki, Kazunori Shimada, Takashi Kiyanagi, Atsumi Kume, Rie Matsumori, Kosuke Fukao, Kuniaki Hirose, Kazuhisa Takamura and Yuko Kawaguchi. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.