Shigeki Takeda

1.7k citations
36 papers · 1.3k indexed · h-index 17

Shigeki Takeda

36 papers receiving 1.3k citations

Peers

Shigeki Takeda
Comparison fields: 5 of 76
  • Neurology 871
  • Cellular and Molecular Neuroscience 406
  • Neurology 173
  • Speech and Hearing 89
  • Rheumatology 132
Replace Yusaku Nakamura with:
Yusaku Nakamura Japan
Tadashi Katagiri Japan
Yuyuan Gao China
Marina Magalhães Portugal
Grace Liang United States
Silvia Jesús Spain
Cesa Scaglione Italy
Pilar Gómez‐Garre Spain
M. Poloni Italy
Toshihiko Suenaga Japan
Shigeki Takeda relative to Yusaku Nakamura Japan Yusaku Nakamura's profile →
Citations per field
00.5×4.9×
Yusaku Nakamura · 1×
Citations per year

Countries citing papers authored by Shigeki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Shigeki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201389
2 201123
3 200823
4 20073
5 200356
6 20032
7 199415
8 199349
9
[Hereditary dentatorubropallidoluysian atrophy--clinical variants in a family and degeneration of cerebral white matter in a proband].
19926
10 199056
11 199011
12 198925
13 19896
14 198990
15 19883
16 198825
17 1988420
18
Progressive supranuclear palsy with limbic system involvement: report of a case with ultrastructural investigation of neurofibrillary tangles in various locations.
198817
19
[An autopsy case of progressive supranuclear palsy showing "pure akinesia without rigidity and tremor and with no effect by L-dopa therapy (Imai)"].
198713
20 197837

About Shigeki Takeda

Shigeki Takeda is a scholar working on Neurology, Rheumatology and Clinical Biochemistry, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (10 papers), Neurological disorders and treatments (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), Alzheimer's disease research and treatments (5 papers), Neurological and metabolic disorders (5 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Neurology (871 citations), Cellular and Molecular Neuroscience (406 citations) and Neurology (173 citations). Shigeki Takeda has collaborated with scholars based in Japan. Frequent co-authors include Fusahiro Ikuta, Hitoshi Takahashi, Eisaku Ohama, Koichi Wakabayashi, Kiyomitsu Oyanagi, Kazunori Yamazaki, Hiroyuki Arai, Kaoru Hinokuma, Haruhiko Naito and Shigeru Nakashima. Their work appears in journals such as Acta Neuropathologica, Neuropathology, Journal of Medical Genetics, Brain and Neurology.

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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