Kenji U�da

640 total citations
76 papers, 454 citations indexed

About

Kenji U�da is a scholar working on Neurology, Rheumatology and Psychiatry and Mental health. According to data from OpenAlex, Kenji U�da has authored 76 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Neurology, 30 papers in Rheumatology and 21 papers in Psychiatry and Mental health. Recurrent topics in Kenji U�da's work include Intracranial Aneurysms: Treatment and Complications (44 papers), Moyamoya disease diagnosis and treatment (30 papers) and Neurological Complications and Syndromes (21 papers). Kenji U�da is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (44 papers), Moyamoya disease diagnosis and treatment (30 papers) and Neurological Complications and Syndromes (21 papers). Kenji U�da collaborates with scholars based in Japan, France and Iran. Kenji U�da's co-authors include Yoshio Araki, Hitoshi Okamura, Yasuhiko Ibata, Sho Okamoto, Kinya Yokoyama, Toshihiko Wakabayashi, Takashi Izumi, Shinsuke Muraoka, Yukio Takahashi and Chizuko Yanaihara and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and Acta Neuropathologica.

In The Last Decade

Kenji U�da

60 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji U�da Japan 13 228 223 166 100 93 76 454
A Nibbio France 6 578 2.5× 293 1.3× 266 1.6× 46 0.5× 70 0.8× 10 848
Demetris Vassilopoulos Greece 13 216 0.9× 38 0.2× 75 0.5× 68 0.7× 112 1.2× 29 642
Pascale Homeyer France 4 450 2.0× 228 1.0× 71 0.4× 41 0.4× 53 0.6× 8 583
Elspeth Hutton Australia 14 154 0.7× 36 0.2× 191 1.2× 15 0.1× 140 1.5× 44 494
Naotoshi Tamura Japan 10 126 0.6× 45 0.2× 24 0.1× 24 0.2× 68 0.7× 65 342
Katarína Zvarová United States 12 47 0.2× 70 0.3× 22 0.1× 22 0.2× 107 1.2× 18 374
Anine H Stam Netherlands 12 102 0.4× 36 0.2× 341 2.1× 23 0.2× 139 1.5× 15 513
A. Gardiner United Kingdom 6 89 0.4× 51 0.2× 140 0.8× 19 0.2× 83 0.9× 9 348
Anne Bolette Tjensvoll Norway 15 168 0.7× 236 1.1× 139 0.8× 20 0.2× 36 0.4× 23 642
Yasuo Nishijima Japan 10 238 1.0× 239 1.1× 113 0.7× 128 1.3× 77 0.8× 20 574

Countries citing papers authored by Kenji U�da

Since Specialization
Citations

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

Fields of papers citing papers by Kenji U�da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenji U�da. 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 Kenji U�da. The network helps show where Kenji U�da may publish in the future.

Co-authorship network of co-authors of Kenji U�da

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji U�da. A scholar is included among the top collaborators of Kenji U�da 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 Kenji U�da. Kenji U�da 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
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Araki, Yoshio, Toshiaki Taoka, Kinya Yokoyama, et al.. (2023). Characteristics of donor vessels and cerebral blood flow in the chronic phase after combined revascularization surgery for moyamoya disease. Clinical Neurology and Neurosurgery. 236. 108110–108110.
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Izumi, Takashi, Kazuhito Takeuchi, Shunsaku Goto, et al.. (2023). Simultaneous Aneurysmal Subarachnoid Hemorrhage and Epistaxis in an Untreated Prolactinoma: A Case Report and Literature Review. NMC Case Report Journal. 10(0). 163–168. 1 indexed citations
5.
Tsukada, T, et al.. (2023). Transvenous embolization via the facial vein for intraorbital dural arteriovenous fistula: illustrative case. Journal of Neurosurgery Case Lessons. 6(13). 1 indexed citations
6.
Izumi, Takashi, Shunsaku Goto, Kenji U�da, et al.. (2023). Ruptured Middle Cerebral Artery Aneurysm in an Infant: Case Report and Literature Review. NMC Case Report Journal. 10(0). 177–183. 2 indexed citations
7.
Izumi, Takashi, Takahiro Imaizumi, Shunsaku Goto, et al.. (2023). Clinical Efficiency of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Aneurysm: Comparison with the Conventional Method. Clinical Neuroradiology. 33(4). 1143–1150. 1 indexed citations
8.
Nishimura, Yusuke, et al.. (2022). Current Clinical Applications of Three-dimensional Printing in Spine Surgery and Education. Spinal Surgery. 36(3). 296–301.
9.
Araki, Yoshio, Kenji U�da, Kinya Yokoyama, et al.. (2022). Changes in cerebral blood flow in the postoperative chronic phase after combined cerebral revascularization for moyamoya disease with ischaemic onset. Neurosurgical Review. 45(3). 2471–2480. 5 indexed citations
10.
Araki, Yoshio, Kenji U�da, Kinya Yokoyama, et al.. (2022). Risk Factors for Cerebral Infarction Early After Revascularization in Children Younger than 5 Years with Moyamoya Disease. World Neurosurgery. 160. e220–e226. 8 indexed citations
11.
Araki, Yoshio, Nobuaki Suzuki, Shogo Tamura, et al.. (2022). Medical Management of a Mural Thrombus Inducing Repeated Ischemic Strokes in a Patient with Congenital Afibrinogenemia. Journal of Stroke and Cerebrovascular Diseases. 31(7). 106526–106526. 2 indexed citations
12.
Araki, Yoshio, et al.. (2021). Ipsilateral late stroke after revascularization surgery for patients with Moyamoya disease. Acta Neurochirurgica. 163(5). 1493–1502. 4 indexed citations
13.
Araki, Yoshio, Kenji U�da, Kinya Yokoyama, et al.. (2021). Challenging direct bypass surgery for very young children with moyamoya disease: technical notes. Neurosurgical Review. 45(2). 1799–1807. 5 indexed citations
14.
Tanahashi, Kuniaki, Yoshio Araki, Kenji U�da, et al.. (2019). Posterior Cerebral Artery Reconstruction by In-Situ Bypass with Superior Cerebellar Artery via Occipital Transtentorial Approach. World Neurosurgery. 126. 24–29. 4 indexed citations
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Muraoka, Shinsuke, Yoshio Araki, Toshiaki Taoka, et al.. (2018). Prediction of Intracranial Arterial Stenosis Progression in Patients with Moyamoya Vasculopathy: Contrast-Enhanced High-Resolution Magnetic Resonance Vessel Wall Imaging. World Neurosurgery. 116. e1114–e1121. 24 indexed citations
17.
Ishikawa, Tatsuya, Hajime Miyata, Kenji U�da, et al.. (2014). [Contribution of increasing age to carotid plaque morphology and symptoms].. PubMed. 42(9). 829–35. 3 indexed citations
18.
Yokota, Osamu, Seishi Terada, Hideki Ishizu, et al.. (2004). Increased expression of neuronal cyclooxygenase-2 in the hippocampus in amyotrophic lateral sclerosis both with and without dementia. Acta Neuropathologica. 107(5). 399–405. 16 indexed citations
19.
U�da, Kenji, et al.. (1985). Galanin Immunoreactive Fibers and Terminals in the Rat Medulla Oblongata and Spinal Cord. ACTA HISTOCHEMICA ET CYTOCHEMICA. 18(6). 673. 1 indexed citations
20.
Okamura, Hitoshi, Fujio Kawakami, Kenji U�da, Yasuhiko Ibata, & N Yanaihara. (1985). VIP/PHI Neuronal System in teh Rat Brain and Spinal Cord : An Immunocytochemical Study. 22. 183–195. 3 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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