Masashi Sakai

2.4k citations
131 papers · 1.9k indexed · h-index 24
Topics
Neural dynamics and brain function (16 papers)Neuroscience and Music Perception (10 papers)Enzyme Production and Characterization (7 papers)
Partner nations
JapanUnited StatesGreece

In The Last Decade

Masashi Sakai

122 papers receiving 1.8k citations

Peers

Masashi Sakai
Comparison fields: 5 of 153
  • Molecular Biology 501
  • Cognitive Neuroscience 313
  • Cardiology and Cardiovascular Medicine 260
  • Biotechnology 205
  • Physiology 186
Replace Martin L. Pall with:
Martin L. Pall United States
Kazumi Yamamoto Japan
Dušan Šuput Slovenia
Qing Cheng Meng United States
Kosuke Nishi Japan
Jing Xia China
Xiaoping Wang China
Michael H. O’Regan United States
L. Ruocco Italy
San‐Nan Yang Taiwan
Masashi Sakai relative to Martin L. Pall United States Martin L. Pall's profile →
Citations per field
00.5×5.9×
Martin L. Pall · 1×
Citations per year

Countries citing papers authored by Masashi Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Sakai. A scholar is included among the top collaborators of Masashi Sakai 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 Masashi Sakai. Masashi Sakai 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 2
3 2
4 0
5 1
6 11
7 3
8 2
9 9
10 7
11 3
12 1
13 5
14
Cefditoren pivoxil administered to pregnant women
1
15
Synthesis of extra pure 11-amino-1-undecanethiol hydrochloride
1
16
D-neurons (TH-negative, AADC-positive neurons) may belong to APUD system in the laboratory shrew (Suncus murinus) brain
7
17 3
18 1
19 0
20
Iic advanced colon cancer a case report
1

About Masashi Sakai

Masashi Sakai is a scholar working on Sensory Systems, Developmental Biology and Cognitive Neuroscience, having authored 131 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Neuroscience and Music Perception (10 papers) and Enzyme Production and Characterization (7 papers). The work is most often cited by research in Biotechnology (205 citations), Sensory Systems (84 citations) and Cognitive Neuroscience (313 citations). Masashi Sakai has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Nobuo Suga, Kensuke Furukawa, Satoshi Kudo, Shinji Mitsuiki, Ling Qin, Masatoshi Goto, Yu Sato, Sohei Chimoto, Kouichi Tamura and Masaharu Kudoh. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Physical 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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