Jun Shibasaki

706 total citations
40 papers, 417 citations indexed

About

Jun Shibasaki is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jun Shibasaki has authored 40 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pediatrics, Perinatology and Child Health, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Jun Shibasaki's work include Neonatal and fetal brain pathology (15 papers), Neonatal Respiratory Health Research (8 papers) and Advanced MRI Techniques and Applications (6 papers). Jun Shibasaki is often cited by papers focused on Neonatal and fetal brain pathology (15 papers), Neonatal Respiratory Health Research (8 papers) and Advanced MRI Techniques and Applications (6 papers). Jun Shibasaki collaborates with scholars based in Japan, Netherlands and United States. Jun Shibasaki's co-authors include Katsuaki Toyoshima, Noriko Aida, Yasufumi Itani, Makiko Ohyama, Motoyoshi Kawataki, Takayuki Obata, Yasushi Uchida, Tetsu Niwa, Shinya Adachi and Hisako Hara and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Jun Shibasaki

40 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Shibasaki Japan 14 190 102 97 85 46 40 417
Michael Hoskinson Canada 10 93 0.5× 107 1.0× 111 1.1× 66 0.8× 60 1.3× 14 401
Mark Born Germany 16 110 0.6× 136 1.3× 141 1.5× 208 2.4× 80 1.7× 52 690
Noah Cook United States 12 302 1.6× 54 0.5× 147 1.5× 150 1.8× 23 0.5× 16 555
Misao Kageyama Japan 11 122 0.6× 80 0.8× 125 1.3× 38 0.4× 96 2.1× 43 379
Vasu Gooty United States 11 116 0.6× 59 0.6× 58 0.6× 49 0.6× 92 2.0× 19 344
Kosuke Sakurai Japan 14 105 0.6× 79 0.8× 68 0.7× 195 2.3× 29 0.6× 28 510
C N van der Veere Netherlands 9 327 1.7× 88 0.9× 171 1.8× 39 0.5× 55 1.2× 9 459
Lucia Mirea United States 12 116 0.6× 38 0.4× 77 0.8× 184 2.2× 149 3.2× 46 555
Stephanie Ryan Ireland 15 301 1.6× 149 1.5× 173 1.8× 75 0.9× 84 1.8× 50 747
A. B. Ayers United Kingdom 13 80 0.4× 175 1.7× 78 0.8× 73 0.9× 58 1.3× 34 559

Countries citing papers authored by Jun Shibasaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shibasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shibasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shibasaki. A scholar is included among the top collaborators of Jun Shibasaki 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 Jun Shibasaki. Jun Shibasaki 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.
Toyoshima, Katsuaki, Takahiro Noguchi, Naka Saito, et al.. (2025). Cardiac adaptations to patent ductus arteriosus ligation in preterm infants: a speckle-tracking study. Pediatric Research. 1 indexed citations
2.
Toyoshima, Katsuaki, Tomoko Saito, Megumi Takahashi, et al.. (2023). Right to left ventricular volume ratio is associated with mortality in congenital diaphragmatic hernia. Pediatric Research. 94(1). 304–312. 2 indexed citations
3.
Nakashima, Mitsuko, et al.. (2023). Splicing variant of WDR37 in a case of Neurooculocardiogenitourinary syndrome. Brain and Development. 46(3). 154–159. 1 indexed citations
4.
Shibasaki, Jun, Kouji Yamamoto, Akihito Takeuchi, et al.. (2022). Predictive value of the Thompson score for short-term adverse outcomes in neonatal encephalopathy. Pediatric Research. 93(4). 1057–1063. 4 indexed citations
5.
Shibasaki, Jun, Tetsuya Isayama, Akihito Takeuchi, et al.. (2022). Three-year outcome following neonatal encephalopathy in a high-survival cohort. Scientific Reports. 12(1). 7945–7945. 7 indexed citations
6.
Shibasaki, Jun, Tetsuya Isayama, Akihito Takeuchi, et al.. (2021). Body temperature, heart rate and long-term outcome of cooled infants: an observational study. Pediatric Research. 91(4). 921–928. 6 indexed citations
7.
Tanaka, Mio, et al.. (2021). A new phenotype of amniotic band syndrome with occipital encephalocele-like morphology: a case report. Child s Nervous System. 38(7). 1405–1408. 2 indexed citations
8.
Shibasaki, Jun, Tetsu Niwa, Aurélie Piedvache, et al.. (2021). Comparison of Predictive Values of Magnetic Resonance Biomarkers Based on Scan Timing in Neonatal Encephalopathy Following Therapeutic Hypothermia. The Journal of Pediatrics. 239. 101–109.e4. 17 indexed citations
9.
Shibasaki, Jun, et al.. (2020). Indocyanine green lymphography for congenital lymphatic dysplasia with tuberous sclerosis complex: A case report. Pediatrics International. 62(2). 234–236. 7 indexed citations
10.
Toyoshima, Katsuaki, et al.. (2018). Blood potassium and urine aldosterone after doxapram therapy for preterm infants. Journal of Perinatology. 38(6). 702–707. 2 indexed citations
11.
Shibasaki, Jun, et al.. (2018). Changes in Brain Metabolite Concentrations after Neonatal Hypoxic-ischemic Encephalopathy. Radiology. 288(3). 840–848. 24 indexed citations
12.
Aida, Noriko, Jun Shibasaki, Yasuhiko Tachibana, et al.. (2016). Normal lactate concentration range in the neonatal brain. Magnetic Resonance Imaging. 34(9). 1269–1273. 12 indexed citations
13.
Matsui, Kiyoshi, Atsuko Yamamoto, Kenji Kurosawa, et al.. (2014). Clinical Characteristics and Outcomes of Möbius Syndrome in a Children's Hospital. Pediatric Neurology. 51(6). 781–789. 10 indexed citations
14.
15.
Iwata, Osuke, Toshiki Takenouchi, Sachiko Iwata, et al.. (2014). The Baby Cooling Project of Japan to Implement Evidence-Based Neonatal Cooling. Therapeutic Hypothermia and Temperature Management. 4(4). 173–179. 1 indexed citations
16.
Toyoshima, Katsuaki, Motoyoshi Kawataki, Makiko Ohyama, et al.. (2013). Tailor-made circulatory management based on the stress–velocity relationship in preterm infants. Journal of the Formosan Medical Association. 112(9). 510–517. 45 indexed citations
17.
Toyoshima, Katsuaki, et al.. (2012). TSH suppression after intravenous glucocorticosteroid administration in preterm infants. Journal of Pediatric Endocrinology and Metabolism. 25(9-10). 853–7. 5 indexed citations
18.
Niwa, Tetsu, et al.. (2012). Periventricular nodular heterotopia is related to severity of the hindbrain deformity in Chiari II malformation. Pediatric Radiology. 42(10). 1212–1217. 13 indexed citations
19.
Itani, Yasufumi, et al.. (2011). Direct hyperbilirubinemia caused by severe subgaleal hemorrhage with ischemic liver injury. Pediatrics International. 53(6). 1082–1084. 1 indexed citations
20.
Niwa, Tetsu, Noriko Aida, Hiroshi Kawaguchi, et al.. (2011). Anatomic dependency of phase shifts in the cerebral venous system of neonates at susceptibility‐weighted MRI. Journal of Magnetic Resonance Imaging. 34(5). 1031–1036. 4 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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