Masaaki Hayashi

2.8k citations
76 papers · 2.3k indexed · h-index 22
Topics
Melanoma and MAPK Pathways (6 papers)EEG and Brain-Computer Interfaces (5 papers)Genomics and Phylogenetic Studies (4 papers)
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

Masaaki Hayashi

72 papers receiving 2.2k citations

Peers

Masaaki Hayashi
Comparison fields: 5 of 136
  • Molecular Biology 1.6k
  • Cancer Research 362
  • Cell Biology 307
  • Immunology 236
  • Oncology 219
Replace Zheng Zhang with:
Zheng Zhang United States
Timothy S. Lewis United States
Francisco García‐García Spain
Richard Jäger Germany
Gigliola Sica Italy
Lili Zheng China
Chiyo Shiota United States
Eric W. Brunskill United States
Michael J. Clark United States
Min Guo China
Masaaki Hayashi relative to Zheng Zhang United States Zheng Zhang's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Masaaki Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Hayashi. A scholar is included among the top collaborators of Masaaki Hayashi 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 Masaaki Hayashi. Masaaki Hayashi 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 13
3 42
4 9
5 3
6 7
7 281
8 226
9 139
10 38
11 163
12 30
13 7
14 8
15 105
16 3
17
277. Effect of Dopamine on the Functional Differentiation of Prolactin Cells
0
18 3
19 36
20
Observation of Streamer in the Soil by Surge Current
6

About Masaaki Hayashi

Masaaki Hayashi is a scholar working on Developmental Neuroscience, Aging and Molecular Biology, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (362 citations), Molecular Biology (1.6k citations) and Cell Biology (307 citations). Masaaki Hayashi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Jiing‐Dwan Lee, Jiing-Dwan Lee, Young Chul Yang, Brian P. Eliceiri, Toshio Tanaka, Sung Woo Kim, Richard I. Tapping, Toshimichi Yoshida, Kyoko Imanaka‐Yoshida and E. Dale Abel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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