Takehito Kaneko

2.9k citations
80 papers · 2.2k indexed · h-index 24
Topics
Reproductive Biology and Fertility (31 papers)Animal Genetics and Reproduction (30 papers)CRISPR and Genetic Engineering (23 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
JapanUnited StatesFrance

In The Last Decade

Takehito Kaneko

79 papers receiving 2.2k citations

Peers

Takehito Kaneko
Comparison fields: 5 of 109
  • Molecular Biology 1.4k
  • Genetics 864
  • Public Health, Environmental and Occupational Health 591
  • Reproductive Medicine 479
  • Plant Science 108
Replace Yoshitaka Fujihara with:
Yoshitaka Fujihara Japan
Baisong Lu United States
Koji Sugiura Japan
Jon M. Oatley United States
Haifeng Wan China
Huili Zheng United States
Takuro Horii Japan
Kentaro Yomogida Japan
Junichiro Matsuda Japan
Ans M. M. van Pelt Netherlands
Takehito Kaneko relative to Yoshitaka Fujihara Japan Yoshitaka Fujihara's profile →
Citations per field
00.5×1.5×
Yoshitaka Fujihara · 1×
Citations per year

Countries citing papers authored by Takehito Kaneko

Since Specialization
Citations

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

Fields of papers citing papers by Takehito Kaneko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehito Kaneko

This figure shows the co-authorship network connecting the top 25 collaborators of Takehito Kaneko. A scholar is included among the top collaborators of Takehito Kaneko 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 Takehito Kaneko. Takehito Kaneko 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 3
3 2
4 5
5 11
6 3
7 3
8 2
9 5
10 16
11 22
12 13
13 58
14 16
15 184
16 36
17 64
18 21
19 23
20 73

About Takehito Kaneko

Takehito Kaneko is a scholar working on Reproductive Medicine, Genetics and Aging, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (31 papers), Animal Genetics and Reproduction (30 papers) and CRISPR and Genetic Engineering (23 papers). The work is most often cited by research in Reproductive Medicine (479 citations), Aging (87 citations) and Business and International Management (64 citations). Takehito Kaneko has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tomoji Mashimo, Birger Voigt, Naomi Nakagata, Kazuto Yoshimi, Takashi Yamamoto, Tetsushi Sakuma, Yayoi Kunihiro, Tadao Serikawa, Hitoshi Nagahora and Ryuzo Yanagimachi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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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