Takuya Ito

20 papers receiving 376 citations

Peers

Takuya Ito
Comparison fields: 5 of 65
  • Obstetrics and Gynecology 106
  • Pediatrics, Perinatology and Child Health 203
  • Cardiology and Cardiovascular Medicine 182
  • Signal Processing 69
  • Endocrine and Autonomic Systems 25
Replace Jonathan Lai with:
Jonathan Lai United Kingdom
Ekaterina I. Borovkova Russia
Goro Takada Japan
Amy S. Tsai United States
Katarína Matasová Slovakia
Т. М. Первунина Russia
M. Passos Brazil
Ingran Lingam United Kingdom
Paul M. Urie United States
Bernd Beedgen Germany
Takuya Ito relative to Jonathan Lai United Kingdom Jonathan Lai's profile →
Citations per field
00.5×10×15×20×23×
Jonathan Lai · 1×
Citations per year

Countries citing papers authored by Takuya Ito

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takuya Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takuya Ito Line = papers co-authored together Takuya Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006105
2 201679
3 201340
4 200935
5 201120
6 201117
7 201116
8 201112
9 201110
10 20187
11 20147
12 20167
13 20176
14 20105
15 20143
16 20153
17 20173
18 20163
19
Development of fetal cardiac intervals throughout 16 to 41 weeks of gestation
20132
20 20062

About Takuya Ito

Takuya Ito is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Signal Processing, having authored 20 papers that have together received 382 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (8 papers), Birth, Development, and Health (7 papers), Pregnancy and preeclampsia studies (7 papers), ECG Monitoring and Analysis (7 papers), Blind Source Separation Techniques (5 papers), Phonocardiography and Auscultation Techniques (3 papers), Analog and Mixed-Signal Circuit Design (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (106 citations), Pediatrics, Perinatology and Child Health (203 citations), Cardiology and Cardiovascular Medicine (182 citations), Signal Processing (69 citations) and Endocrine and Autonomic Systems (25 citations). Takuya Ito has collaborated with scholars based in Japan, Australia and United Arab Emirates. Frequent co-authors include Yoshitaka Kimura, Kunihiro Okamura, N. Katayama, Mitsuyuki Nakao, Ahsan H. Khandoker, Marimuthu Palaniswami, Nobuo Yaegashi, Takahiro Minato, Nobuyuki Takahashi and Rika Sugibayashi. Their work appears in journals such as Frontiers in Physiology, PLoS ONE, Journal of Hypertension, IEEE Journal of Biomedical and Health Informatics and Fetal Diagnosis and Therapy.

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.

Explore authors with similar magnitude of impact