Michio Yamamoto

2.6k citations
92 papers · 1.7k indexed · 1 hit paper · h-index 18
Topics
Advanced Clustering Algorithms Research (6 papers)Bayesian Methods and Mixture Models (4 papers)Gene expression and cancer classification (4 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Michio Yamamoto

78 papers receiving 1.7k citations

Hit Papers

Human iPS cell-derived dopaminergic neurons function in a...20172026202020232017100200300400

Peers

Michio Yamamoto
Comparison fields: 5 of 156
  • Molecular Biology 668
  • Immunology 325
  • Surgery 264
  • Oncology 258
  • Cellular and Molecular Neuroscience 255
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Zhaoxia Yu United States
Shuren Li Austria
Cai Li China
Stephanie C. Hicks United States
Dorothea Buck Germany
Jun Ma China
Guang Chen China
Doulaye Dembélé France
Shuji Murakami Japan
Hirozumi Sawai Japan
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Citations per field
00.5×7.2×
Zhaoxia Yu · 1×
Citations per year

Countries citing papers authored by Michio Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Michio Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michio Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Michio Yamamoto. A scholar is included among the top collaborators of Michio Yamamoto 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 Michio Yamamoto. Michio Yamamoto 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 0
2 0
3 7
4 7
5 2
6 4
7 20
8 7
9 21
10 48
11 6
12
An Improved Puncture-Insertion Kit for a Swan-Ganz Catheter
1
13 0
14 4
15 7
16 0
17 14
18 0
19 0
20
The Mode of Action of Cycloserine (CS).
3

About Michio Yamamoto

Michio Yamamoto is a scholar working on Statistics and Probability, Developmental Neuroscience and Sensory Systems, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (6 papers), Bayesian Methods and Mixture Models (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Immunology (325 citations) and Cellular and Molecular Neuroscience (255 citations). Michio Yamamoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kei Hirose, Satoshi Morita, Hirotaka Onoe, Masato Nakagawa, Keisuke Okita, Malin Parmar, Daisuke Doi, Ryōsuke Takahashi, Takuya Hayashi and Sayuki Takara. Their work appears in journals such as Nature, Nature Communications and Journal of Clinical Oncology.

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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