M Shakudo

1.8k citations
39 papers · 1.3k indexed · 1 hit paper · h-index 19

M Shakudo

39 papers receiving 1.3k citations

Hit Papers

The role of diffusion-weighted imaging in patients with b...5342001202620092017100200300400500

Peers

M Shakudo
Comparison fields: 5 of 81
  • Genetics 306
  • Radiology, Nuclear Medicine and Imaging 539
  • Neurology 188
  • Pathology and Forensic Medicine 195
  • Surgery 367
Replace Simona Gaudino with:
Simona Gaudino Italy
İlhami Kovanlıkaya United States
Leo Wolansky United States
Ayşenur Cila Türkiye
Justin Cross United Kingdom
Kara M. Schwartz United States
Nilgün Yünten Türkiye
Elka Miller Canada
Yelda Özsunar Türkiye
Meir Faibel Israel
M Shakudo relative to Simona Gaudino Italy Simona Gaudino's profile →
Citations per field
00.5×1.5×2.1×
Simona Gaudino · 1×
Citations per year

Countries citing papers authored by M Shakudo

Since Specialization
Citations

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

Fields of papers citing papers by M Shakudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200925
2 20079
3 200412
4 200116
5 200126
6 200116
7 200131
8 200126
9 200157
10
Fast MR imaging and ultrafast MR imaging of fetal central nervous system abnormalities.
20014
11 200012
12 19997
13 199926
14 199813
15 199430
16
[Magnetic resonance (MR) imaging of chordoma and chondroma in the skull base--differential diagnosis by IR sequence].
19926
17 19895
18 198858
19 198837
20 198842

About M Shakudo

M Shakudo is a scholar working on Cellular and Molecular Neuroscience, Developmental Biology and Neurology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Spinal Dysraphism and Malformations (5 papers), Head and Neck Surgical Oncology (4 papers), Meningioma and schwannoma management (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), Glioma Diagnosis and Treatment (3 papers) and Bone Tumor Diagnosis and Treatments (3 papers). The work is most often cited by research in Genetics (306 citations), Radiology, Nuclear Medicine and Imaging (539 citations) and Neurology (188 citations). M Shakudo has collaborated with scholars based in Japan. Frequent co-authors include Yuichi Inoue, Kenji Ohata, Ryusaku Yamada, Keiko Nakayama, Kenichi Wakasa, Michiharu Morino, Y Nemoto, Teruo Fukuda, Hiroaki Nakamura and Takahiko Tashiro. Their work appears in journals such as Spine, Journal of neurosurgery and American Journal of Roentgenology.

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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