Takeshi Sakaba

5.4k citations
55 papers · 4.0k indexed · 1 hit paper · h-index 29
Topics
Neuroscience and Neuropharmacology Research (48 papers)Cellular transport and secretion (21 papers)Lipid Membrane Structure and Behavior (21 papers)
Partner nations
GermanyJapanSweden

In The Last Decade

Takeshi Sakaba

54 papers receiving 4.0k citations

Hit Papers

Multiple Roles of Calcium Ions in the Regulation of Neuro...20082026201420202008200400600

Peers

Takeshi Sakaba
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 3.0k
  • Molecular Biology 2.6k
  • Cell Biology 1.6k
  • Cognitive Neuroscience 908
  • Sensory Systems 254
Replace Johann Helmut Brandstätter with:
Johann Helmut Brandstätter Germany
Shigeo Takamori Japan
Holger Taschenberger Germany
Ralf Schneggenburger Switzerland
Jian Cheng Tu United States
Anna Fejtová Germany
Juli G. Valtschanoff United States
Kerstin Reim Germany
J. Gerard G. Borst Netherlands
Ákos Kulik Germany
Takeshi Sakaba relative to Johann Helmut Brandstätter Germany Johann Helmut Brandstätter's profile →
Citations per field
00.5×2.8×
Johann Helmut Brandstätter · 1×
Citations per year

Countries citing papers authored by Takeshi Sakaba

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Sakaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Sakaba

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Sakaba. A scholar is included among the top collaborators of Takeshi Sakaba 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 Takeshi Sakaba. Takeshi Sakaba 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 4
2 1
3 1
4 0
5 1
6 19
7 122
8 60
9 126
10 32
11 27
12 19
13 197
14 70
15 104
16 1
17 197
18 19
19 65
20 144

About Takeshi Sakaba

Takeshi Sakaba is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Cognitive Neuroscience, having authored 55 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (48 papers), Cellular transport and secretion (21 papers) and Lipid Membrane Structure and Behavior (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Cell Biology (1.6k citations) and Sensory Systems (254 citations). Takeshi Sakaba has collaborated with scholars based in Germany, Japan and Sweden. Frequent co-authors include Erwin Neher, Ralf Schneggenburger, Nobutake Hosoi, Masao Tachibana, Matthew G. Holt, Mitsuharu Midorikawa, Shin‐ya Kawaguchi, Ken Berglund, Henrique von Gersdorff and Lijun Yao. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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