Miki Takikawa

408 citations
11 papers · 331 indexed · h-index 8
Topics
Parkinson's Disease Mechanisms and Treatments (5 papers)Amyotrophic Lateral Sclerosis Research (5 papers)biodegradable polymer synthesis and properties (4 papers)
Journals
Acta NeuropathologicaNeuropathologyAmyotrophic Lateral Sclerosis and Other Motor Neuron Disorders
Partner nations
JapanUnited StatesItaly

In The Last Decade

Miki Takikawa

10 papers receiving 320 citations

Peers

Miki Takikawa
Comparison fields: 5 of 50
  • Neurology 267
  • Molecular Biology 102
  • Physiology 92
  • Neurology 73
  • Genetics 70
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F Rognoni Italy
Kathryn Nelson United States
Stefania Guareschi Italy
Solenn Legallic France
Rudolf Hergesheimer France
D. P. Perl United States
Angela S. Vlug Netherlands
Andrés de León Canada
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Reiko Namba Japan
Miki Takikawa relative to F Rognoni Italy F Rognoni's profile →
Citations per field
00.5×3.5×
F Rognoni · 1×
Citations per year

Countries citing papers authored by Miki Takikawa

Since Specialization
Citations

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

Fields of papers citing papers by Miki Takikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Takikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Takikawa. A scholar is included among the top collaborators of Miki Takikawa 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 Miki Takikawa. Miki Takikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Pathologic reappraisal of wallenberg syndrome: a pathologic distribution study and analysis of literature.
7
2 0
3 27
4 44
5 12
6 7
7 4
8 144
9 58
10 27
11
[Autopsy case of systemic amyloidosis with rheumatoid arthritis].
1

About Miki Takikawa

Miki Takikawa is a scholar working on Neurology, Biomaterials and Neurology, having authored 11 papers that have together received 331 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and biodegradable polymer synthesis and properties (4 papers). The work is most often cited by research in Neurology (267 citations), Neurology (73 citations) and Genetics (70 citations). Miki Takikawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masako Kato, Shinsuke Kato, Eisaku Ohama, Kenji Nakashima, Imaharu Nakano, Don W. Cleveland, Asao Hirano, Noriyuki Shibata, Hirofumi Kusaka and Saburo Sakoda. Their work appears in journals such as Acta Neuropathologica, Neuropathology and Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders.

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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