Daiju Fukuda

2.9k total citations · 1 hit paper
98 papers, 2.0k citations indexed

About

Daiju Fukuda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Daiju Fukuda has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cardiology and Cardiovascular Medicine, 23 papers in Surgery and 20 papers in Molecular Biology. Recurrent topics in Daiju Fukuda's work include Cardiovascular Function and Risk Factors (21 papers), Cardiac Imaging and Diagnostics (18 papers) and Cardiovascular Disease and Adiposity (14 papers). Daiju Fukuda is often cited by papers focused on Cardiovascular Function and Risk Factors (21 papers), Cardiac Imaging and Diagnostics (18 papers) and Cardiovascular Disease and Adiposity (14 papers). Daiju Fukuda collaborates with scholars based in Japan, United States and Venezuela. Daiju Fukuda's co-authors include Masataka Sata, Takeshi Soeki, Shusuke Yagi, Hirotsugu Yamada, Michio Shimabukuro, Kenya Kusunose, Yoichiro Hirata, Sachiko Nishimoto, Kimie Tanaka and Yasutomi Higashikuni and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Daiju Fukuda

90 papers receiving 1.9k citations

Hit Papers

NLRP3 Inflammasome Activation Through Heart-Brain Interac... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daiju Fukuda Japan 24 769 507 382 342 290 98 2.0k
Marcus Baumann Germany 26 696 0.9× 501 1.0× 269 0.7× 225 0.7× 319 1.1× 94 2.1k
Hirofumi Tomita Japan 27 1.2k 1.5× 511 1.0× 222 0.6× 203 0.6× 314 1.1× 187 2.2k
Takafumi Okura Japan 29 1.1k 1.4× 781 1.5× 518 1.4× 342 1.0× 343 1.2× 138 2.7k
Naifeng Liu China 27 495 0.6× 657 1.3× 325 0.9× 304 0.9× 285 1.0× 83 2.1k
Włodzimierz J. Musiał Poland 22 877 1.1× 420 0.8× 434 1.1× 146 0.4× 210 0.7× 146 2.0k
Hsin-Bang Leu Taiwan 27 604 0.8× 449 0.9× 283 0.7× 177 0.5× 287 1.0× 54 1.8k
Yi‐Da Tang China 23 744 1.0× 545 1.1× 399 1.0× 579 1.7× 379 1.3× 132 2.0k
Daisuke Fujioka Japan 31 1.1k 1.4× 570 1.1× 723 1.9× 357 1.0× 341 1.2× 87 2.5k
Paolo Poggio Italy 29 1.2k 1.6× 659 1.3× 582 1.5× 364 1.1× 491 1.7× 102 2.8k
Junichi Matsubara Japan 27 1.0k 1.3× 603 1.2× 633 1.7× 434 1.3× 265 0.9× 117 2.7k

Countries citing papers authored by Daiju Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Daiju Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiju Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Daiju Fukuda. A scholar is included among the top collaborators of Daiju Fukuda 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 Daiju Fukuda. Daiju Fukuda 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
3.
Shimeno, Kenji, et al.. (2024). Durability of output-dependent QRS transition and left bundle branch capture in left bundle branch area pacing. Heart Rhythm. 22(5). 1289–1297. 2 indexed citations
4.
Yagi, Shusuke, Ryosuke Miyamoto, Hiroyuki Morino, et al.. (2024). Pulmonary Arterial Hypertension in Neurofibromatosis Type 1: A Case with a Novel <i>NF1</i> Gene Mutation. Internal Medicine. 64(5). 725–728.
5.
Shimeno, Kenji, et al.. (2023). 3830 lead extraction from two patients with left bundle branch area pacing. Journal of Arrhythmia. 39(4). 623–626. 5 indexed citations
6.
Yamazaki, Takanori, Hisako Yoshida, Kotaro Matsumoto, et al.. (2023). Tissue responses to everolimus-eluting stents implanted in severely calcified lesions following atherectomy. Cardiovascular Intervention and Therapeutics. 39(1). 34–44. 4 indexed citations
7.
Abe, Yukio, et al.. (2023). Acute impact of atrial fibrillation on pacemaker lead-induced tricuspid regurgitation: Case report. Journal of Cardiology Cases. 28(5). 210–212.
8.
Shimeno, Kenji, et al.. (2022). Achievement rate and learning curve of left bundle branch capture in left bundle branch area pacing procedure performed to demonstrate output‐dependent QRS transition. Journal of Cardiovascular Electrophysiology. 33(10). 2183–2191. 14 indexed citations
9.
Higashikuni, Yasutomi, Wenhao Liu, Genri Numata, et al.. (2022). NLRP3 Inflammasome Activation Through Heart-Brain Interaction Initiates Cardiac Inflammation and Hypertrophy During Pressure Overload. Circulation. 147(4). 338–355. 108 indexed citations breakdown →
10.
Kusunose, Kenya, Hirotsugu Yamada, Yoshihito Saijo, et al.. (2022). Clinical Course and Decision-Making in Heart Failure by Preload Stress Echocardiography: A Preliminary Study. ESC Heart Failure. 9(6). 4020–4029. 2 indexed citations
11.
Kusunose, Kenya, Yoshihiro Okayama, Miho Abe, et al.. (2021). Association between Vitamin D and Heart Failure Mortality in 10,974 Hospitalized Individuals. Nutrients. 13(2). 335–335. 18 indexed citations
12.
Kusunose, Kenya, Yoshihiro Okayama, Michikazu Nakai, et al.. (2021). Impact of cancer on short-term in-hospital mortality after primary acute myocardial infarction. Open Heart. 8(2). e001860–e001860. 6 indexed citations
13.
Kusunose, Kenya, Yoshihiro Okayama, Michikazu Nakai, et al.. (2021). Use of Echocardiography and Heart Failure In-Hospital Mortality from Registry Data in Japan. Journal of Cardiovascular Development and Disease. 8(10). 124–124. 4 indexed citations
14.
Kusunose, Kenya, Yoshihiro Okayama, Michikazu Nakai, et al.. (2021). Acute Hospital Mortality of Venous Thromboembolism in Patients With Cancer From Registry Data. Journal of the American Heart Association. 10(11). e019373–e019373. 12 indexed citations
15.
Kusunose, Kenya, Yukina Hirata, Susumu Nishio, et al.. (2021). Cardiac reserve by 6-minute walk stress echocardiography in systemic sclerosis. Open Heart. 8(1). e001559–e001559. 3 indexed citations
16.
Kusunose, Kenya, Yukina Hirata, Susumu Nishio, et al.. (2021). Clinical Utility of Overlap Time for Incomplete Relaxation to Predict Cardiac Events in Heart Failure. Journal of Cardiac Failure. 27(11). 1222–1230. 3 indexed citations
17.
Kusunose, Kenya, et al.. (2020). Clinically Feasible and Accurate View Classification of Echocardiographic Images Using Deep Learning. Biomolecules. 10(5). 665–665. 49 indexed citations
18.
Kusunose, Kenya, Mika Fujiwara, Hirotsugu Yamada, et al.. (2019). Deterioration of biventricular strain is an early marker of cardiac involvement in confirmed sarcoidosis. European Heart Journal - Cardiovascular Imaging. 21(7). 796–804. 20 indexed citations
19.
Yagi, Shusuke, Y Torii, Daiju Fukuda, et al.. (2017). Edoxaban improves acute venous thromboembolism while preserving protein C and protein S levels. Journal of Cardiology. 71(3). 305–309. 5 indexed citations
20.
Salim, Hotimah Masdan, Daiju Fukuda, Shusuke Yagi, et al.. (2016). Glycemic Control with Ipragliflozin, a Novel Selective SGLT2 Inhibitor, Ameliorated Endothelial Dysfunction in Streptozotocin-Induced Diabetic Mouse. Frontiers in Cardiovascular Medicine. 3. 100 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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