Takayuki Teramoto

2.3k citations
30 papers · 1.5k indexed · 1 hit paper · h-index 15
Topics
Genetics, Aging, and Longevity in Model Organisms (12 papers)Circadian rhythm and melatonin (6 papers)Single-cell and spatial transcriptomics (4 papers)

In The Last Decade

Takayuki Teramoto

28 papers receiving 1.5k citations

Hit Papers

An Expanded Palette of Genetically Encoded Ca 2+ Indicators20112026201620212011250500750

Peers

Takayuki Teramoto
Comparison fields: 5 of 118
  • Molecular Biology 777
  • Cellular and Molecular Neuroscience 515
  • Biophysics 290
  • Aging 258
  • Plant Science 167
Replace Jasper Akerboom with:
Jasper Akerboom Netherlands
Elise F. Stanley Canada
Michinori Ichikawa Japan
Michael Socolich United States
Desmond Smith United States
Ahmed S. Abdelfattah United States
Thomas M. Morse United States
Shangbang Gao China
J. Hasseman United States
Chandra L. Tucker United States
Takayuki Teramoto relative to Jasper Akerboom Netherlands Jasper Akerboom's profile →
Citations per field
00.5×1.5×
Jasper Akerboom · 1×
Citations per year

Countries citing papers authored by Takayuki Teramoto

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Teramoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Teramoto

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Teramoto. A scholar is included among the top collaborators of Takayuki Teramoto 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 Takayuki Teramoto. Takayuki Teramoto 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 1
2 1
3 1
4 10
5 59
6 20
7 13
8 21
9 12
10 19
11 27
12
An Expanded Palette of Genetically Encoded Ca 2+ Indicatorsbreakdown →
993
13 24
14 20
15 55
16 52
17 53
18 9
19 37
20 16

About Takayuki Teramoto

Takayuki Teramoto is a scholar working on Aging, Endocrine and Autonomic Systems and Biophysics, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Circadian rhythm and melatonin (6 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Aging (258 citations), Biophysics (290 citations) and Cellular and Molecular Neuroscience (515 citations). Takayuki Teramoto has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Takeshi Ishihara, Manabi Fujiwara, Takeharu Nagai, Masahiro Nakano, Yongxin Zhao, Yu-Fen Chang, Ahmed S. Abdelfattah, Robert E. Campbell, Jiahui Wu and Kouichi Iwasaki. Their work appears in journals such as Science, Bioinformatics and PLoS ONE.

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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