Koichi Node
About
Koichi Node is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery.
According to data from OpenAlex, Koichi Node has authored 548 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Cardiology and Cardiovascular Medicine, 129 papers in Endocrinology, Diabetes and Metabolism and 120 papers in Surgery. Recurrent topics in Koichi Node's work include Diabetes Treatment and Management (74 papers), Cardiovascular Function and Risk Factors (47 papers) and Blood Pressure and Hypertension Studies (46 papers). Koichi Node is often cited by papers focused on Diabetes Treatment and Management (74 papers), Cardiovascular Function and Risk Factors (47 papers) and Blood Pressure and Hypertension Studies (46 papers). Koichi Node collaborates with scholars based in Japan, United States and Ireland. Koichi Node's co-authors include Teruo Inoue, Masafumi Kitakaze, James K. Liao, Masatsugu Hori, Tetsuo Minamino, Atsushi Tanaka, Darryl C. Zeldin, Jun‐ichi Oyama, Tetsuaki Hirase and Hiroshi Komoda and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
In The Last Decade
Koichi Node
519 papers receiving 15.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Koichi Node Japan | 60 | 4.9k | 3.7k | 2.9k | 2.9k | 2.4k | 548 | 15.5k | ||
| David D. Gutterman United States | 67 | 5.9k 1.2× | 3.1k 0.8× | 1.4k 0.5× | 2.4k 0.8× | 4.5k 1.9× | 248 | 15.4k | ||
| Mitsuhiro Yokoyama Japan | 66 | 5.1k 1.0× | 4.0k 1.1× | 1.9k 0.7× | 3.0k 1.0× | 4.3k 1.8× | 376 | 15.8k | ||
| Claudio Napoli Italy | 70 | 4.5k 0.9× | 6.2k 1.7× | 1.7k 0.6× | 3.6k 1.3× | 3.4k 1.4× | 450 | 20.5k | ||
| Dao Wen Wang China | 73 | 6.2k 1.3× | 9.5k 2.6× | 2.3k 0.8× | 1.7k 0.6× | 1.7k 0.7× | 605 | 21.3k | ||
| Hiromi Rakugi Japan | 75 | 6.7k 1.4× | 4.8k 1.3× | 3.6k 1.2× | 2.8k 1.0× | 4.5k 1.9× | 604 | 21.5k | ||
| Tomasz J. Guzik Poland | 69 | 5.5k 1.1× | 4.0k 1.1× | 2.9k 1.0× | 2.5k 0.9× | 4.4k 1.8× | 241 | 19.8k | ||
| Philip S. Tsao United States | 74 | 6.4k 1.3× | 4.9k 1.3× | 1.6k 0.5× | 4.5k 1.5× | 6.5k 2.7× | 260 | 19.8k | ||
| Thomas M. Coffman United States | 72 | 6.6k 1.3× | 6.4k 1.7× | 4.5k 1.5× | 2.1k 0.7× | 2.5k 1.0× | 253 | 20.3k | ||
| Michael Y. Tsai United States | 61 | 2.3k 0.5× | 3.2k 0.8× | 2.5k 0.9× | 3.8k 1.3× | 3.4k 1.4× | 412 | 16.1k | ||
| Raffaele De Caterina Italy | 79 | 11.7k 2.4× | 3.3k 0.9× | 1.9k 0.7× | 5.5k 1.9× | 2.6k 1.1× | 659 | 24.4k |
Countries citing papers authored by Koichi Node
Since
Specialization
Citations
This map shows the geographic impact of Koichi Node'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 Koichi Node with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Node more than expected).
Fields of papers citing papers by Koichi Node
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Koichi Node. 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 Koichi Node. The network helps show where Koichi Node may publish in the future.
Co-authorship network of co-authors of Koichi Node
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Node. A scholar is included among the top collaborators of Koichi Node 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 Koichi Node. Koichi Node is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kusunose, Kenya, Takumi Imai, Atsushi Tanaka, et al.. (2024). Effects of ipragliflozin on left ventricular diastolic function in patients with type 2 diabetes: A sub-analysis of the PROTECT trial. Journal of Cardiology. 84(4). 246–252.
2.
Suzuki, Takahiro, Hajime Nagasu, Takeshi Ebara, et al.. (2024). Unraveling the Implications of Digit Bias in Digital Health - A Literature Review. Internal Medicine. 64(14). 2090–2099.
3.
Kario, Kazuomi, Hisashi Kai, Hiromi Rakugi, et al.. (2024). Consensus Statement on Renal Denervation by the Joint Committee of Japanese Society of Hypertension (JSH), Japanese Association of Cardiovascular Intervention and Therapeutics (CVIT), and the Japanese Circulation Society (JCS). Circulation Journal. 88(10). 1718–1725.
4.
Kaneko, Hidehiro, Tatsuhiko Azegami, Yuta Suzuki, et al.. (2024). Body weight change associated kidney outcomes of sodium–glucose cotransporter new users. Diabetes Obesity and Metabolism. 26(10). 4535–4543.
5.
Scirica, Benjamin M., A. Michael Lincoff, Ildiko Lingvay, et al.. (2024). The Effect of Semaglutide on Mortality and COVID-19–Related Deaths. Journal of the American College of Cardiology. 84(17). 1632–1642.
6.
Yokoi, K., Takanori Yamaguchi, Yoshimitsu Soga, et al.. (2024). Pulmonary Vein Intervention for Severe Pulmonary Vein Stenosis After Atrial Fibrillation Ablation ― A Retrospective Cohort Study ―. Circulation Journal. 88(7). 1099–1106.
7.
Tanaka, Atsushi, Michikazu Nakai, Yoko Sumita, et al.. (2023). Prevalence and temporal trends of prostate diseases among inpatients with cardiovascular disease: a nationwide real-world database survey in Japan. Frontiers in Cardiovascular Medicine. 10. 1236144–1236144.
8.
Suzuki, Yuta, Hidehiro Kaneko, Akira Okada, et al.. (2023). Comparison of SGLT2 inhibitors vs. DPP4 inhibitors for patients with metabolic dysfunction associated fatty liver disease and diabetes mellitus. Journal of Endocrinological Investigation. 47(5). 1261–1270.
9.
Ueno, Kensuke, Hidehiro Kaneko, Kentaro Kamiya, et al.. (2023). Association of early acute‐phase rehabilitation initiation on outcomes among patients aged ≥90 years with acute heart failure. Journal of the American Geriatrics Society. 71(6). 1840–1850.
10.
Tanaka, Atsushi, Takumi Imai, Shigeru Toyoda, et al.. (2023). Long-term observation of estimated fluid volume reduction after the initiation of ipragliflozin in patients with type 2 diabetes mellitus: a sub-analysis from a randomized controlled trial (PROTECT). Diabetology & Metabolic Syndrome. 15(1). 152–152.
11.
Kaneko, Hidehiro, Kensuke Ueno, Akira Okada, et al.. (2023). Association of Body Mass Index and Its Change With Incident Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 108(12). 3145–3153.
12.
Tamura, Yuichi, Akihiro Nomura, Nobuyuki Kagiyama, Atsushi Mizuno, & Koichi Node. (2023). Digitalomics, digital intervention, and designing future: The next frontier in cardiology. Journal of Cardiology. 83(5). 318–322.
13.
Takahashi, Yuya, Takanori Yamaguchi, Yuki Kawano, et al.. (2023). Histological validation of atrial structural remodelling in patients with atrial fibrillation. European Heart Journal. 44(35). 3339–3353.
14.
Kaneko, Hidehiro, Kensuke Ueno, Kentaro Kamiya, et al.. (2023). Subjective Gait Speed and Risk of Developing Cardiovascular Events in 56,589 Cancer Survivors. International Heart Journal. 64(4). 672–677.
15.
Kaneko, Hidehiro, Yuichiro Yano, Hokyou Lee, et al.. (2022). Blood Pressure Classification Using the 2017 ACC/AHA Guideline and Heart Failure in Patients With Cancer. Journal of Clinical Oncology. 41(5). 980–990.
16.
Kuroda, Shunsuke, Shingo Matsumoto, Takeshi Kitai, et al.. (2021). External validation of the 4C Mortality Score for patients with COVID-19 and pre-existing cardiovascular diseases/risk factors. BMJ Open. 11(9). e052708–e052708.
17.
Teragawa, Hiroki, Takeshi Morimoto, Yoshitaka Fujii, et al.. (2020). Effect of Anagliptin versus Sitagliptin on Inflammatory Markers: Sub-Analysis from the REASON Trial. SHILAP Revista de lepidopterología.
18.
Morimoto, Takeshi, Ichiro Sakuma, Mio Sakuma, et al.. (2019). Randomized Evaluation of Anagliptin vs Sitagliptin On low-density lipoproteiN cholesterol in diabetes (REASON) Trial: A 52-week, open-label, randomized clinical trial. Scientific Reports. 9(1). 8537–8537.
19.
Hashimoto, Shigemasa & Koichi Node. (2007). 4. Primary Prevention of Hypertension. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 38(4). 197–203.
20.
Takemoto, Masao, Koichi Node, Hironori Nakagami, et al.. (2001). Statins as antioxidant therapy for preventing cardiac myocyte hypertrophy. Journal of Clinical Investigation. 108(10). 1429–1437.
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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