Hidetsuna Utsunomiya

1.5k citations
62 papers · 1.2k indexed · h-index 15

Hidetsuna Utsunomiya

57 papers receiving 1.1k citations

Peers

Hidetsuna Utsunomiya
Comparison fields: 5 of 86
  • Neurology 406
  • Internal Medicine 46
  • Radiology, Nuclear Medicine and Imaging 228
  • Pediatrics, Perinatology and Child Health 173
  • Epidemiology 290
Replace Koichi Takano with:
Koichi Takano Japan
F. Cattin France
David A. Shrier United States
Dean M. Cestari United States
Alex Förster Germany
Yun Jung Bae South Korea
Andrzej Marchel Poland
Michael D. F. Deck United States
Gianni Boris Bradač Italy
Slobodan Marinković Serbia
Hidetsuna Utsunomiya relative to Koichi Takano Japan Koichi Takano's profile →
Citations per field
00.5×2.9×
Koichi Takano · 1×
Citations per year

Countries citing papers authored by Hidetsuna Utsunomiya

Since Specialization
Citations

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

Fields of papers citing papers by Hidetsuna Utsunomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20200
2 20196
3 201829
4 20161
5 201616
6 20147
7 20117
8 201025
9 20083
10 20072
11 20077
12 200625
13 1999147
14 199949
15 19994
16 19924
17 19911
18 19919
19 198712
20 19840

About Hidetsuna Utsunomiya

Hidetsuna Utsunomiya is a scholar working on Microbiology, Neurology and Pediatrics, Perinatology and Child Health, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (9 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Fetal and Pediatric Neurological Disorders (8 papers), Vascular Malformations Diagnosis and Treatment (8 papers), Glioma Diagnosis and Treatment (6 papers), Meningioma and schwannoma management (6 papers), Spinal Dysraphism and Malformations (4 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Neurology (406 citations), Internal Medicine (46 citations) and Radiology, Nuclear Medicine and Imaging (228 citations). Hidetsuna Utsunomiya has collaborated with scholars based in Japan, South Africa and Canada. Frequent co-authors include Koichi Takano, Hiroki Shirato, Kei Yamada, Kuniaki Ogasawara, Suketaka Momoshima, Makoto Sasaki, Kohsuke Kudo, Akihisa Mitsudome, M. Okazaki and Takashi Hayashi. Their work appears in journals such as Radiology, Journal of Neurosurgery Spine and International Journal of Oncology.

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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