Makoto Michikawa

7.8k citations
155 papers · 6.2k indexed · h-index 42
Topics
Alzheimer's disease research and treatments (81 papers)Cholesterol and Lipid Metabolism (20 papers)Neuroinflammation and Neurodegeneration Mechanisms (16 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Makoto Michikawa

155 papers receiving 6.1k citations

Peers

Makoto Michikawa
Comparison fields: 5 of 144
  • Physiology 3.1k
  • Molecular Biology 2.9k
  • Surgery 1.0k
  • Cellular and Molecular Neuroscience 865
  • Cell Biology 825
Replace Bin Zhao with:
Bin Zhao China
Claudia Schwab Canada
Efrat Levy United States
Amy R. Nelson United States
Jin Yu China
Konstantinos Palikaras Greece
Ruth B. Caldwell United States
Mei Cui China
Fei Yin China
Tiina Suuronen Finland
Makoto Michikawa relative to Bin Zhao China Bin Zhao's profile →
Citations per field
00.5×3.7×
Bin Zhao · 1×
Citations per year

Countries citing papers authored by Makoto Michikawa

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Michikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Michikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Michikawa. A scholar is included among the top collaborators of Makoto Michikawa 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 Makoto Michikawa. Makoto Michikawa 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
#WorkIndexed citations
1 3
2 1
3 14
4 5
5 2
6 13
7 38
8 17
9 16
10 11
11 16
12 26
13 31
14 24
15 40
16 18
17 131
18 107
19 207
20 2

About Makoto Michikawa

Makoto Michikawa is a scholar working on Physiology, Neurology and Biological Psychiatry, having authored 155 papers that have together received 6.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (81 papers), Cholesterol and Lipid Metabolism (20 papers) and Neuroinflammation and Neurodegeneration Mechanisms (16 papers). The work is most often cited by research in Physiology (3.1k citations), Neurology (806 citations) and Biological Psychiatry (217 citations). Makoto Michikawa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Katsuhiko Yanagisawa, Kun Zou, Jian-Sheng Gong, Naoya Sawamura, Qiwen Fan, Takashi Hosono, Ichiro Isobe, Mi-Hee Ko, Wenxin Yu and Kazuchika Nishitsuji. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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