Takashi Ban

1.1k citations
76 papers · 802 indexed · h-index 16
Topics
Ion channel regulation and function (25 papers)Neuroscience and Neural Engineering (17 papers)Cardiac electrophysiology and arrhythmias (14 papers)

In The Last Decade

Takashi Ban

69 papers receiving 742 citations

Peers

Takashi Ban
Comparison fields: 5 of 94
  • Molecular Biology 397
  • Cardiology and Cardiovascular Medicine 235
  • Cellular and Molecular Neuroscience 215
  • Organic Chemistry 177
  • Computational Theory and Mathematics 69
Replace R. B. BARLOW with:
R. B. BARLOW United Kingdom
Kenneth J. Blackburn United Kingdom
R. P. STEPHENSON United Kingdom
D. J. Triggle United States
Giuseppe Ronsisvalle Italy
E. J. Ariëns Netherlands
A. Rutledge United States
Bülent Gümüşel Türkiye
H. B�nisch Germany
Akio Kiyomoto United States
Takashi Ban relative to R. B. BARLOW United Kingdom R. B. BARLOW's profile →
Citations per field
00.5×3.3×
R. B. BARLOW · 1×
Citations per year

Countries citing papers authored by Takashi Ban

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Ban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Ban

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Ban. A scholar is included among the top collaborators of Takashi Ban 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 Takashi Ban. Takashi Ban 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 43
2 32
3 9
4 11
5 3
6 1
7 17
8 26
9 1
10 3
11 0
12 0
13 15
14 5
15
Membrane-stabilizing actions of acebutolol
1
16 2
17 55
18
1
19 1
20 3

About Takashi Ban

Takashi Ban is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Physical and Theoretical Chemistry, having authored 76 papers that have together received 802 indexed citations. Recurring topics across this work include Ion channel regulation and function (25 papers), Neuroscience and Neural Engineering (17 papers) and Cardiac electrophysiology and arrhythmias (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (215 citations), Electrochemistry (65 citations) and Cardiology and Cardiovascular Medicine (235 citations). Takashi Ban has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshio Fujita, Michio Kojima, Shuzo Oshita, Ken Kanematsu, Kazunobu Harano, Masami Yasuda, Charles H. Sawyer, Takashi Okamoto, Larry E. Overman and N Kanemoto. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications 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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