Takuya Ito

454 total citations
20 papers, 382 citations indexed

About

Takuya Ito is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Takuya Ito has authored 20 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pediatrics, Perinatology and Child Health, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Obstetrics and Gynecology. Recurrent topics in Takuya Ito's work include Neonatal and fetal brain pathology (8 papers), ECG Monitoring and Analysis (7 papers) and Pregnancy and preeclampsia studies (7 papers). Takuya Ito is often cited by papers focused on Neonatal and fetal brain pathology (8 papers), ECG Monitoring and Analysis (7 papers) and Pregnancy and preeclampsia studies (7 papers). Takuya Ito collaborates with scholars based in Japan, Australia and United Arab Emirates. Takuya Ito's co-authors include Yoshitaka Kimura, Kunihiro Okamura, N. Katayama, Mitsuyuki Nakao, Ahsan H. Khandoker, Nobuo Yaegashi, Marimuthu Palaniswami, Takahiro Minato, Kenichi Funamoto and Rika Sugibayashi and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Takuya Ito

20 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Ito Japan 9 203 182 106 104 69 20 382
Jonathan Lai United Kingdom 11 403 2.0× 28 0.2× 376 3.5× 42 0.4× 3 0.0× 16 537
Ekaterina I. Borovkova Russia 10 27 0.1× 200 1.1× 36 0.3× 6 0.1× 3 0.0× 58 345
Goro Takada Japan 9 49 0.2× 164 0.9× 16 0.2× 55 0.5× 14 335
Katarína Matasová Slovakia 9 133 0.7× 31 0.2× 8 0.1× 152 1.5× 1 0.0× 35 236
M. Passos Brazil 9 66 0.3× 120 0.7× 7 0.1× 43 0.4× 1 0.0× 12 333
Т. М. Первунина Russia 9 53 0.3× 158 0.9× 78 0.7× 38 0.4× 76 408
Paul M. Urie United States 12 29 0.1× 391 2.1× 25 0.2× 23 0.2× 19 578
Ingran Lingam United Kingdom 10 236 1.2× 7 0.0× 20 0.2× 162 1.6× 16 332
Amy S. Tsai United States 11 26 0.1× 24 0.1× 33 0.3× 92 0.9× 15 262
Bernd Beedgen Germany 9 118 0.6× 18 0.1× 6 0.1× 161 1.5× 19 287

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-authorship network of co-authors of Takuya Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Ito. A scholar is included among the top collaborators of Takuya Ito 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 Takuya Ito. Takuya Ito 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
1.
Minato, Takahiro, Takuya Ito, Yoshiyuki Kasahara, et al.. (2018). Relationship Between Short Term Variability (STV) and Onset of Cerebral Hemorrhage at Ischemia–Reperfusion Load in Fetal Growth Restricted (FGR) Mice. Frontiers in Physiology. 9. 478–478. 7 indexed citations
2.
Funamoto, Kenichi, et al.. (2017). Ultrasound Imaging of Mouse Fetal Intracranial Hemorrhage Due to Ischemia/Reperfusion. Frontiers in Physiology. 8. 340–340. 6 indexed citations
3.
Khandoker, Ahsan H., et al.. (2017). Effect of Chronic Hypoxia on Autonomic Nervous System of Fetal Mice. Computing in cardiology. 3 indexed citations
4.
Fushima, Tomofumi, Akiyo Sekimoto, Takahiro Minato, et al.. (2016). Reduced Uterine Perfusion Pressure (RUPP) Model of Preeclampsia in Mice. PLoS ONE. 11(5). e0155426–e0155426. 79 indexed citations
5.
Khandoker, Ahsan H., et al.. (2016). Assessment of autonomic neurodevelopment in the mouse fetuses by using fetal electrocardiography. PubMed. 41. 2954–2957. 7 indexed citations
6.
Fushima, Tomofumi, Akiyo Sekimoto, Takahiro Minato, et al.. (2016). OS 21-08 NOVEL REDUCED UTERINE PERFUSION PRESSURE (RUPP) MODEL OF PREECLAMPSIA IN MICE. Journal of Hypertension. 34(Supplement 1). e237–e237. 3 indexed citations
7.
Kimura, Yoshitaka, et al.. (2015). Vaginal LPS changed gene transcriptional regulation response to ischemic reperfusion and increased vulnerability of fetal brain hemorrhage. Biochemical and Biophysical Research Communications. 468(1-2). 228–233. 3 indexed citations
8.
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10.
Marzbanrad, Faezeh, Yoshitaka Kimura, Rika Sugibayashi, et al.. (2013). Development of fetal cardiac intervals throughout 16 to 41 weeks of gestation. Computing in Cardiology Conference. 40. 1155–1158. 2 indexed citations
11.
Marzbanrad, Faezeh, Yoshitaka Kimura, Rika Sugibayashi, et al.. (2013). Automated Estimation of Fetal Cardiac Timing Events From Doppler Ultrasound Signal Using Hybrid Models. IEEE Journal of Biomedical and Health Informatics. 18(4). 1169–1177. 40 indexed citations
12.
Hoshiai, Tetsuro, Takuya Ito, Hiroshi Chisaka, et al.. (2011). Successful Detection of the Fetal Electrocardiogram Waveform Changes during Various States of Singletons. The Tohoku Journal of Experimental Medicine. 225(2). 89–94. 17 indexed citations
13.
Ito, Takuya, et al.. (2011). Understanding congenital heart defects through abdominal fetal electrocardiography: Case reports and clinical implications. Journal of obstetrics and gynaecology research. 37(5). 428–435. 20 indexed citations
14.
Ito, Takuya, Ai Nakamura, Kaori Tanabe, et al.. (2011). Maternal Undernutrition Induces the Expression of Hypoxia-Related Genes in the Fetal Brain. The Tohoku Journal of Experimental Medicine. 226(1). 37–44. 16 indexed citations
15.
Ito, Takuya, Kaori Tanabe, Ai Nakamura, et al.. (2011). Aberrant Expression of Hypoxia-Inducible Factor 1.ALPHA. in the Fetal Heart Is Associated with Maternal Undernutrition. The Tohoku Journal of Experimental Medicine. 224(3). 163–171. 12 indexed citations
16.
Ito, Takuya, Kaori Tanabe, Ai Nakamura, et al.. (2011). Maternal Undernutrition with Vaginal Inflammation Impairs the Neonatal Oligodendrogenesis in Mice. The Tohoku Journal of Experimental Medicine. 223(3). 215–222. 10 indexed citations
17.
Ito, Takuya, et al.. (2010). Effects of Antenatal Steroid Therapy on Neurodevelopment in an IUGR Mouse Model. Fetal Diagnosis and Therapy. 28(2). 79–86. 5 indexed citations
18.
Khandoker, Ahsan H., et al.. (2009). Antepartum non-invasive evaluation of opening and closing timings of the cardiac valves in fetal cardiac cycle. Medical & Biological Engineering & Computing. 47(10). 1075–1082. 35 indexed citations
19.
Kimura, Yoshitaka, et al.. (2006). Measurement method for the fetal electrocardiogram. Minimally Invasive Therapy & Allied Technologies. 15(4). 214–217. 2 indexed citations
20.
Kimura, Yoshitaka, et al.. (2006). A Novel Extraction Method of Fetal Electrocardiogram From the Composite Abdominal Signal. IEEE Transactions on Biomedical Engineering. 54(1). 49–58. 105 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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