Hideki Wada
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- Acute Myocardial Infarction Research 26
- Antiplatelet Therapy and Cardiovascular Diseases 9
- Geriatrics and Gerontology top 5%
- Internal Medicine top 10%
- Speech and Hearing top 5%
- Physiology top 10%
- Nutrition and Health in Aging 6
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- Coronary Interventions and Diagnostics 19
- Lipoproteins and Cardiovascular Health 17
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- Cardiac Imaging and Diagnostics 8
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Chronic Kidney Disease and Diabetes 5
Hideki Wada
97 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Cardiology and Cardiovascular Medicine 581
- Geriatrics and Gerontology 99
- Internal Medicine 36
- Speech and Hearing 64
- Physiology 242
Countries citing papers authored by Hideki Wada
This map shows the geographic impact of Hideki Wada'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 Hideki Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Wada more than expected).
Fields of papers citing papers by Hideki Wada
This network shows the impact of papers produced by Hideki Wada. 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 Hideki Wada. The network helps show where Hideki Wada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideki Wada, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 9 | |
| 13 | Abstract 15623: Effect of Pemafibrate (k-877), a Novel Selective Peroxisome Proliferator-activated Receptor α Modulator (spparmα), in Atherosclerosis Model Using Low Density Lipoprotein Receptor Knock-out Swine With Balloon Injury | 2017 | 2 |
| 14 | 2016 | 2 | |
| 15 | 2015 | 18 | |
| 16 | 2015 | 2 | |
| 17 | 2010 | 14 | |
| 18 | A design method of ideal vehicle models in adaptive driver-combined-vehicles system | 2010 | 1 |
| 19 | Stimulation of the substantia nigra increases striatal blood flow in rats | 1992 | 2 |
| 20 | Antimicrobial activities and clinical studies on cefclidin in complicated urinary tract infections | 1991 | 2 |
About Hideki Wada
Hideki Wada is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Surgery, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (26 papers), Coronary Interventions and Diagnostics (19 papers), Lipoproteins and Cardiovascular Health (17 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers), Cardiac Imaging and Diagnostics (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Nutrition and Health in Aging (6 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (581 citations), Geriatrics and Gerontology (99 citations) and Internal Medicine (36 citations). Hideki Wada has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Katsumi Miyauchi, Hiroyuki Daida, Tomotaka Dohi, Manabu Ogita, Shinya Okazaki, Takatoshi Kasai, Kikuo Isoda, Satoru Suwa, Shinichiro Doi and Ryo Naito. Their work appears in journals such as Journal of Cardiology, The American Journal of Cardiology, Heart and Vessels, Circulation Journal and Atherosclerosis.
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.