Kunihiko Naito

3.7k citations
155 papers · 3.1k indexed · h-index 31
Topics
Reproductive Biology and Fertility (72 papers)Animal Genetics and Reproduction (33 papers)Sperm and Testicular Function (21 papers)
Partner nations
JapanUnited StatesIran

In The Last Decade

Kunihiko Naito

154 papers receiving 3.0k citations

Peers

Kunihiko Naito
Comparison fields: 5 of 105
  • Molecular Biology 2.0k
  • Public Health, Environmental and Occupational Health 1.4k
  • Genetics 805
  • Reproductive Medicine 688
  • Cell Biology 298
Replace Koji Sugiura with:
Koji Sugiura Japan
Keiji Mochida Japan
Charles R. Long United States
Jon M. Oatley United States
Liangxue Lai United States
Pablo J. Ross United States
Jie Xu United States
Flávio Vieira Meirelles Brazil
Xiuchun Tian United States
Jeong Mook Lim South Korea
Kunihiko Naito relative to Koji Sugiura Japan Koji Sugiura's profile →
Citations per field
00.5×1.7×
Koji Sugiura · 1×
Citations per year

Countries citing papers authored by Kunihiko Naito

Since Specialization
Citations

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

Fields of papers citing papers by Kunihiko Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunihiko Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Kunihiko Naito. A scholar is included among the top collaborators of Kunihiko Naito 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 Kunihiko Naito. Kunihiko Naito 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 8
3 41
4 5
5 2
6 54
7 24
8 15
9 15
10 60
11 18
12 6
13 38
14
Molecular Basis of Oocyte Maturation in Culture in the Pig
5
15 46
16 7
17 133
18 90
19 35
20 1

About Kunihiko Naito

Kunihiko Naito is a scholar working on Aging, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 155 papers that have together received 3.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (72 papers), Animal Genetics and Reproduction (33 papers) and Sperm and Testicular Function (21 papers). The work is most often cited by research in Aging (178 citations), Reproductive Medicine (688 citations) and Public Health, Environmental and Occupational Health (1.4k citations). Kunihiko Naito has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Koji Sugiura, Wataru Fujii, Hideaki Tojo, Yutaka Toyoda, Kiyoshi Kanô, Keitaro Yamanouchi, Eimei Sato, Maki N. Inoue, Tsutomu Endo and Fugaku Aoki. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry 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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