Koji Okuda

2.8k citations
56 papers · 2.2k indexed · 1 hit paper · h-index 22
Topics
Nonlinear Dynamics and Pattern Formation (7 papers)Telomeres, Telomerase, and Senescence (7 papers)Advanced Thermodynamics and Statistical Mechanics (7 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Koji Okuda

55 papers receiving 2.2k citations

Hit Papers

Telomere Length as an Indicator of Biological Aging20012026200920172001100200300400500

Peers

Koji Okuda
Comparison fields: 5 of 144
  • Physiology 935
  • Statistical and Nonlinear Physics 328
  • Molecular Biology 314
  • Aging 304
  • Pediatrics, Perinatology and Child Health 280
Replace Katsuhiko Higuchi with:
Katsuhiko Higuchi Japan
Hirokazu Fukuda Japan
Joseph Higgins United States
Eli Hershkovitz Israel
Joseph Levine United States
Fuzhou Wang China
Houman Khosravani Canada
Jia Li China
Brian F. Hoffman United States
Steven Girard United States
Koji Okuda relative to Katsuhiko Higuchi Japan Katsuhiko Higuchi's profile →
Citations per field
00.5×
Katsuhiko Higuchi · 1×
Citations per year

Countries citing papers authored by Koji Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Koji Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Okuda

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Okuda. A scholar is included among the top collaborators of Koji Okuda 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 Koji Okuda. Koji Okuda 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 2
2 9
3 16
4 23
5 8
6 38
7 28
8 1
9 3
10 78
11 33
12 379
13 39
14 31
15 1
16 57
17 26
18 169
19 43
20 9

About Koji Okuda

Koji Okuda is a scholar working on Aging, Statistical and Nonlinear Physics and Anesthesiology and Pain Medicine, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (7 papers), Telomeres, Telomerase, and Senescence (7 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). The work is most often cited by research in Aging (304 citations), Physiology (935 citations) and Statistical and Nonlinear Physics (328 citations). Koji Okuda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masayuki Kimura, Abraham Aviv, Joan Skurnick, Frédérique Thomas, Athanase Bénétos, K. Bean, Carlos Labat, Malika Lajemi, Arlene Bardeguez and Jeffrey P. Gardner. Their work appears in journals such as Physical Review Letters, Gastroenterology and Analytical 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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