Chie Hosokawa

1.1k total citations
63 papers, 808 citations indexed

About

Chie Hosokawa is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Chie Hosokawa has authored 63 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 23 papers in Biomedical Engineering and 21 papers in Cognitive Neuroscience. Recurrent topics in Chie Hosokawa's work include Neuroscience and Neural Engineering (21 papers), Neural dynamics and brain function (20 papers) and Orbital Angular Momentum in Optics (18 papers). Chie Hosokawa is often cited by papers focused on Neuroscience and Neural Engineering (21 papers), Neural dynamics and brain function (20 papers) and Orbital Angular Momentum in Optics (18 papers). Chie Hosokawa collaborates with scholars based in Japan, China and United States. Chie Hosokawa's co-authors include Hiroshi Masuhara, Hiroyuki Yoshikawa, Takahisa Taguchi, Suguru N. Kudoh, Ai Kiyohara, Eijiro Miyako, Yoshihisa Hagihara, Keiko Tawa, Hidenori Nagai and Kenji Kono and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Chie Hosokawa

54 papers receiving 788 citations

Peers

Chie Hosokawa
Comparison fields: 5 of 92
  • Biomedical Engineering 348
  • Atomic and Molecular Physics, and Optics 219
  • Molecular Biology 189
  • Electrical and Electronic Engineering 169
  • Materials Chemistry 156
Replace Sukhdev Roy with:
Sukhdev Roy India
Takashi Tanii Japan
Victor V. Yashin United States
László Demkó Switzerland
Hope T. Beier United States
Satoyuki Kawano Japan
Anna Cattani Italy
Dieter Zeisel Switzerland
Alexander Bratkovsky United States
Xingwang Zhang China
Sukhdev Roy India View profile →
Citations per field, relative to Chie Hosokawa
Chie Hosokawa · 1×
Citations per year, relative to Chie Hosokawa
Chie Hosokawa · 1×

Countries citing papers authored by Chie Hosokawa

Since Specialization
Citations

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

Fields of papers citing papers by Chie Hosokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chie Hosokawa

This figure shows the co-authorship network connecting the top 25 collaborators of Chie Hosokawa. A scholar is included among the top collaborators of Chie Hosokawa 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 Chie Hosokawa. Chie Hosokawa 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
# Work Indexed citations
1 0
2 0
3 0
4 89
5 5
6 9
7 1
8 3
9 4
10 1
11 8
12
M-sequence family from cultured neural circuits
4
13
M-sequences from neural loop circuits
0
14 69
15 48
16 45
17 17
18 63
19 59
20 43

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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