Yuma Kitase

536 citations
28 papers · 359 · h-index 11

Impact in

Papers in

Yuma Kitase

27 papers receiving 358 citations

Peers

Yuma Kitase
Comparison fields: 5 of 59
  • Pediatrics, Perinatology and Child Health 207
  • Developmental Neuroscience 40
  • Endocrine and Autonomic Systems 35
  • Obstetrics and Gynecology 26
  • Neurology 24
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Maide Özen United States
Sandra E. Juul United States
Alexandra Zecic Belgium
Marie‐Elsa Brochu Canada
Michelle E. Schober United States
Jennifer L. Grow United States
Philip C. Wiener United States
Lotte G. van den Heuij New Zealand
Marie-Emmanuelle Dilenge Canada
Choong Yi Fong Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Yuma Kitase

Since Specialization
Citations

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

Fields of papers citing papers by Yuma Kitase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuma Kitase, 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 Yuma Kitase Line = papers co-authored together Yuma Kitase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 201840
3 201032
4 202127
5 201922
6 202019
7 202115
8 202014
9 202011
10 202311
11 201910
12 20219
13 20179
14 20228
15 20217
16 20207
17 20236
18 20234
19 20234
20 20224

About Yuma Kitase

Yuma Kitase is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Surgery, Developmental Neuroscience and Genetics, having authored 28 papers that have together received 359 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (15 papers), Neonatal Respiratory Health Research (7 papers), Anesthesia and Neurotoxicity Research (6 papers), Prenatal Substance Exposure Effects (5 papers), Pregnancy and preeclampsia studies (3 papers), Congenital Diaphragmatic Hernia Studies (3 papers), Mesenchymal stem cell research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (207 citations), Developmental Neuroscience (40 citations), Endocrine and Autonomic Systems (35 citations), Obstetrics and Gynecology (26 citations) and Neurology (24 citations). Yuma Kitase has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Lauren L. Jantzie, Shenandoah Robinson, Jessie Newville, Jessie R. Maxwell, Yoshiaki Sato, Gwendolyn Gerner, Toshihiko Suzuki, Masahiro Hayakawa, Stephen Amoah and Jonathan L. Brigman. Their work appears in journals such as Developmental Neuroscience, Frontiers in Pediatrics, Scientific Reports, Life and Journal of Neuroinflammation.

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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