Masahiro Kanai

37.8k citations
54 papers · 3.3k indexed · 2 hit papers · h-index 26
Topics
Genetic Associations and Epidemiology (19 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)Genetic and phenotypic traits in livestock (8 papers)

In The Last Decade

Masahiro Kanai

51 papers receiving 3.3k citations

Hit Papers

Clinical use of current polygenic risk scores may exacerb...2018202620202023201920184008001.2k

Peers

Masahiro Kanai
Comparison fields: 5 of 159
  • Genetics 1.8k
  • Molecular Biology 1.0k
  • Epidemiology 289
  • Cancer Research 256
  • Immunology 255
Replace Gavin Band with:
Gavin Band United Kingdom
Clare Bycroft United Kingdom
Alexander Gusev United States
Lars G. Fritsche United States
Matti Pirinen Finland
Stephen Leslie United States
Kurt D. Christensen United States
Manuel A. Rivas United States
Reedik Mägi Estonia
Loïc Yengo Australia
Masahiro Kanai relative to Gavin Band United Kingdom Gavin Band's profile →
Citations per field
00.5×1.5×
Gavin Band · 1×
Citations per year

Countries citing papers authored by Masahiro Kanai

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Kanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Kanai

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Kanai. A scholar is included among the top collaborators of Masahiro Kanai 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 Masahiro Kanai. Masahiro Kanai 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 7
3 8
4 23
5 84
6 16
7 1
8 2
9 42
10 2
11 57
12 115
13 8
14 28
15 50
16 70
17 84
18 6
19 55
20 15

About Masahiro Kanai

Masahiro Kanai is a scholar working on Genetics, Cancer Research and Immunology, having authored 54 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (19 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Genetics (1.8k citations), Health Informatics (23 citations) and Cancer Research (256 citations). Masahiro Kanai has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Yukinori Okada, Yoichiro Kamatani, Benjamin M. Neale, Alicia R. Martin, Mark J. Daly, Koichi Matsuda, Michiaki Kubo, Yukihide Momozawa, Masato Akiyama and Atsushi Takahashi. Their work appears in journals such as Nature, Science and Cell.

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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