Tomo Tarui

675 total citations
34 papers, 441 citations indexed

About

Tomo Tarui is a scholar working on Pediatrics, Perinatology and Child Health, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tomo Tarui has authored 34 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pediatrics, Perinatology and Child Health, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tomo Tarui's work include Fetal and Pediatric Neurological Disorders (28 papers), Neonatal and fetal brain pathology (20 papers) and Prenatal Screening and Diagnostics (12 papers). Tomo Tarui is often cited by papers focused on Fetal and Pediatric Neurological Disorders (28 papers), Neonatal and fetal brain pathology (20 papers) and Prenatal Screening and Diagnostics (12 papers). Tomo Tarui collaborates with scholars based in United States, United Kingdom and Japan. Tomo Tarui's co-authors include P. Ellen Grant, Kiho Im, Richard S. Nowakowski, V.S. Caviness, Takashi Takahashi, Hyuk Jin Yun, Pradeep G. Bhide, Nancy L. Hayes, Caitlin K. Rollins and Neel Madan and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Tomo Tarui

29 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomo Tarui United States 14 286 73 68 60 51 34 441
Marie Hully France 11 165 0.6× 226 3.1× 149 2.2× 17 0.3× 14 0.3× 34 591
Marie Laure Moutard France 7 280 1.0× 109 1.5× 114 1.7× 12 0.2× 41 0.8× 7 434
F. DiMario United States 4 201 0.7× 72 1.0× 79 1.2× 38 0.6× 15 0.3× 6 348
Taner Sezer Türkiye 10 32 0.1× 51 0.7× 17 0.3× 22 0.4× 7 0.1× 39 287
Matthew J. Barkovich United States 9 65 0.2× 34 0.5× 12 0.2× 8 0.1× 123 2.4× 20 304
Marina Raguž Croatia 9 148 0.5× 34 0.5× 11 0.2× 20 0.3× 97 1.9× 47 358
Michael J. De Rosa United States 7 179 0.6× 127 1.7× 90 1.3× 15 0.3× 20 0.4× 8 447
Claudio Manna Italy 16 167 0.6× 73 1.0× 38 0.6× 323 5.4× 5 0.1× 33 569
Anna Wójtowicz Poland 8 82 0.3× 72 1.0× 23 0.3× 39 0.7× 3 0.1× 22 277
Fabienne Dietrich Alber Switzerland 8 287 1.0× 81 1.1× 113 1.7× 24 0.4× 14 0.3× 9 504

Countries citing papers authored by Tomo Tarui

Since Specialization
Citations

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

Fields of papers citing papers by Tomo Tarui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomo Tarui

This figure shows the co-authorship network connecting the top 25 collaborators of Tomo Tarui. A scholar is included among the top collaborators of Tomo Tarui 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 Tomo Tarui. Tomo Tarui 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.
2.
Yun, Hyuk Jin, Joo Young Lee, Lana Vasung, et al.. (2025). Deep Learning–based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly. Radiology Artificial Intelligence. 7(2). e240115–e240115. 3 indexed citations
3.
Madan, Neel, Taysir Mahmoud, Hyuk Jin Yun, et al.. (2025). Impact of high maternal body mass index on fetal cerebral cortical and cerebellar volumes. Journal of Perinatal Medicine. 53(3). 376–386. 1 indexed citations
4.
Pardo, Andrea C., Sonika Agarwal, Brigitte Vollmer, et al.. (2025). Fetal Callosal Anomalies: A Narrative Review and Practical Recommendations for Pediatric Neurologists. Pediatric Neurology. 165. 117–127.
5.
Venkatesan, Charu, Dawn Gano, Barbara Scelsa, et al.. (2024). Prenatally Diagnosed Absent Septum Pellucidum and Septo-Optic Dysplasia: A Narrative Review and Practical Recommendations for Pediatric Neurologists. Pediatric Neurology. 164. 17–24.
6.
Agarwal, Sonika, Charu Venkatesan, Brigitte Vollmer, et al.. (2024). Fetal Cerebral Ventriculomegaly: A Narrative Review and Practical Recommendations for Pediatric Neurologists. Pediatric Neurology. 156. 119–127. 5 indexed citations
7.
Tarui, Tomo, Alexis C. Gimovsky, & Neel Madan. (2024). Fetal neuroimaging applications for diagnosis and counseling of brain anomalies: Current practice and future diagnostic strategies. Seminars in Fetal and Neonatal Medicine. 29(1). 101525–101525. 2 indexed citations
8.
Scelsa, Barbara, Dawn Gano, Anthony R Hart, et al.. (2024). Prenatally Diagnosed Holoprosencephaly: Review of the Literature and Practical Recommendations for Pediatric Neurologists. Pediatric Neurology. 162. 87–96.
9.
Tarui, Tomo, Charu Venkatesan, Dawn Gano, et al.. (2023). Fetal Neurology Practice Survey: Current Practice and the Future Directions. Pediatric Neurology. 145. 74–79. 15 indexed citations
10.
Madan, Neel, Takahisa Mikami, Rajeevi Madankumar, et al.. (2023). Biometric magnetic resonance imaging analysis of fetal brain development in Down syndrome. Prenatal Diagnosis. 43(11). 1450–1458. 2 indexed citations
11.
Tarui, Tomo, Neel Madan, George Graham, et al.. (2023). Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly. NeuroImage Clinical. 37. 103357–103357. 9 indexed citations
12.
Madan, Neel, George Graham, Osamu Samura, et al.. (2022). Regional brain development in fetuses with Dandy-Walker malformation: A volumetric fetal brain magnetic resonance imaging study. PLoS ONE. 17(2). e0263535–e0263535. 5 indexed citations
13.
Yen, Elizabeth, Neel Madan, Tomo Tarui, et al.. (2022). Sex-specific inflammatory and white matter effects of prenatal opioid exposure: a pilot study. Pediatric Research. 93(3). 604–611. 9 indexed citations
14.
Yun, Hyuk Jin, Hyun Ju Lee, Joo Young Lee, et al.. (2022). Quantification of sulcal emergence timing and its variability in early fetal life: Hemispheric asymmetry and sex difference. NeuroImage. 263. 119629–119629. 10 indexed citations
15.
Yun, Hyuk Jin, Gilsoon Park, Yangming Ou, et al.. (2021). Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging. Frontiers in Neuroscience. 15. 714252–714252. 18 indexed citations
16.
Yun, Hyuk Jin, Lana Vasung, Tomo Tarui, et al.. (2020). Temporal Patterns of Emergence and Spatial Distribution of Sulcal Pits During Fetal Life. Cerebral Cortex. 30(7). 4257–4268. 17 indexed citations
17.
Tarui, Tomo, Kiho Im, Neel Madan, et al.. (2019). Quantitative MRI Analyses of Regional Brain Growth in Living Fetuses with Down Syndrome. Cerebral Cortex. 30(1). 382–390. 37 indexed citations
18.
Tarui, Tomo, Alan W. Flake, John D. Stratigis, et al.. (2017). Amniotic fluid transcriptomics reflects novel disease mechanisms in fetuses with myelomeningocele. American Journal of Obstetrics and Gynecology. 217(5). 587.e1–587.e10. 23 indexed citations
19.
Tarui, Tomo, Omar Khwaja, Judy A. Estroff, Julian N. Robinson, & P. Ellen Grant. (2010). Fetal MR Imaging Evidence of Prolonged Apparent Diffusion Coefficient Decrease in Fetal Death: Fig 1.. American Journal of Neuroradiology. 32(7). E126–E128. 9 indexed citations
20.
Tarui, Tomo, Takashi Takahashi, Richard S. Nowakowski, et al.. (2005). Overexpression of p27Kip1, Probability of Cell Cycle Exit, and Laminar Destination of Neocortical Neurons. Cerebral Cortex. 15(9). 1343–1355. 82 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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