Koji Takano

4.9k citations
141 papers · 3.1k indexed · h-index 30
Topics
Pituitary Gland Disorders and Treatments (20 papers)Growth Hormone and Insulin-like Growth Factors (20 papers)Ion channel regulation and function (17 papers)

In The Last Decade

Koji Takano

130 papers receiving 3.0k citations

Peers

Koji Takano
Comparison fields: 5 of 141
  • Epidemiology 905
  • Endocrinology, Diabetes and Metabolism 891
  • Oncology 750
  • Molecular Biology 666
  • Surgery 556
Replace Robert Dudczak with:
Robert Dudczak Austria
Kurt Kletter Austria
Martin Krššák Austria
Goro Takada Japan
Katsuya Maruyama Japan
Vassili Valayannopoulos France
Michèl A.A.P. Willemsen Netherlands
Zhihua Li China
Neil R.M. Buist United States
Georgios Karanikas Austria
Koji Takano relative to Robert Dudczak Austria Robert Dudczak's profile →
Citations per field
00.5×2.7×
Robert Dudczak · 1×
Citations per year

Countries citing papers authored by Koji Takano

Since Specialization
Citations

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

Fields of papers citing papers by Koji Takano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Takano

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Takano. A scholar is included among the top collaborators of Koji Takano 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 Takano. Koji Takano 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 0
2 0
3 4
4 0
5 2
6 6
7 2
8 6
9 8
10 2
11 29
12 14
13 119
14 8
15 21
16 50
17 6
18 71
19
[Experiences in general anesthesia of patients with scoliosis presupposed to have difficulties in airway maintenance].
5
20 2

About Koji Takano

Koji Takano is a scholar working on Endocrinology, Diabetes and Metabolism, General Materials Science and Genetics, having authored 141 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (20 papers) and Ion channel regulation and function (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (891 citations), Neurology (426 citations) and Oncology (750 citations). Koji Takano has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Toshiro Fujita, Tsuyoshi Satoh, Akira Shimatsu, Hironobu Sasano, Masao Tanaka, Masayuki Imamura, Izumi Komoto, Tetsuhide Ito, Kazuhiko Nakamura and Masayoshi Shichiri. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Neuron.

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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