Mika Sato‐Maeda

1.1k citations
22 papers · 885 indexed · h-index 13
Topics
Moyamoya disease diagnosis and treatment (7 papers)Cerebrovascular and genetic disorders (6 papers)Developmental Biology and Gene Regulation (5 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Mika Sato‐Maeda

22 papers receiving 872 citations

Peers

Mika Sato‐Maeda
Comparison fields: 5 of 95
  • Molecular Biology 512
  • Cell Biology 333
  • Cellular and Molecular Neuroscience 184
  • Rheumatology 147
  • Neurology 146
Replace Jennifer L. Silhavy with:
Jennifer L. Silhavy United States
Jakob S. Satz United States
Marcel Tawk France
Rolf W. Stottmann United States
Anastasia P. Grigorenko Russia
Ranhui Duan China
Andrea M. Gomez United States
Amir M. Ashique United States
H Ishikawa Japan
Chika Yokota Japan
Mika Sato‐Maeda relative to Jennifer L. Silhavy United States Jennifer L. Silhavy's profile →
Citations per field
00.5×6.7×
Jennifer L. Silhavy · 1×
Citations per year

Countries citing papers authored by Mika Sato‐Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Mika Sato‐Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mika Sato‐Maeda. 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 Mika Sato‐Maeda. The network helps show where Mika Sato‐Maeda may publish in the future.

Co-authorship network of co-authors of Mika Sato‐Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Sato‐Maeda. A scholar is included among the top collaborators of Mika Sato‐Maeda 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 Mika Sato‐Maeda. Mika Sato‐Maeda 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 11
2 15
3 55
4 12
5 42
6 9
7 28
8 14
9 45
10 58
11 20
12 36
13 87
14 5
15 20
16 2
17 369
18 3
19 10
20 27

About Mika Sato‐Maeda

Mika Sato‐Maeda is a scholar working on Rheumatology, Cell Biology and Developmental Neuroscience, having authored 22 papers that have together received 885 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (7 papers), Cerebrovascular and genetic disorders (6 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Cell Biology (333 citations), Developmental Neuroscience (69 citations) and Aging (18 citations). Mika Sato‐Maeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Wataru Shoji, John Y. Kuwada, Zsolt Lele, James T. Warren, Mary C. Halloran, Patrick H. Krone, Fengyun Su, Masuo Obinata, Miki Fujimura and Teiji Tominaga. Their work appears in journals such as Development, Current Biology and Brain Research.

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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