Masayuki Sakuma

1.5k citations
36 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Insect and Arachnid Ecology and Behavior (23 papers)Insects and Parasite Interactions (17 papers)Plant and animal studies (9 papers)
Partner nations
Japan

In The Last Decade

Masayuki Sakuma

35 papers receiving 1.1k citations

Hit Papers

Probit analysis of preference data19982026200720161998100200300400500

Peers

Masayuki Sakuma
Comparison fields: 5 of 97
  • Plant Science 399
  • Insect Science 396
  • Genetics 331
  • Ecology, Evolution, Behavior and Systematics 274
  • Health, Toxicology and Mutagenesis 273
Replace Béla Darvas with:
Béla Darvas Hungary
D. L. Bull United States
J. M. Brand United States
Linda MacDonald Canada
H. T. Gordon United States
Matthew Sacher United States
David I. Schlipalius Australia
Hans Gfeller Switzerland
Masayuki Sakuma relative to Béla Darvas Hungary Béla Darvas's profile →
Citations per field
00.5×3.5×
Béla Darvas · 1×
Citations per year

Countries citing papers authored by Masayuki Sakuma

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Sakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Sakuma. A scholar is included among the top collaborators of Masayuki Sakuma 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 Masayuki Sakuma. Masayuki Sakuma 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 4
2 28
3 2
4 1
5 9
6 4
7 22
8 22
9
Probit analysis of preference databreakdown →
570
10 48
11 10
12 7
13 3
14 35
15 21
16 15
17 7
18 0
19 66
20 29

About Masayuki Sakuma

Masayuki Sakuma is a scholar working on Health, Toxicology and Mutagenesis, Insect Science and Genetics, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (23 papers), Insects and Parasite Interactions (17 papers) and Plant and animal studies (9 papers). The work is most often cited by research in Insect Science (396 citations), Developmental Biology (51 citations) and Health, Toxicology and Mutagenesis (273 citations). Masayuki Sakuma has collaborated with scholars based in Japan. Frequent co-authors include Hiroshi Fukami, Yasumasa KUWAHARA, Akira Sakakura, Hiroshi Fukumi, Kazuaki Ishihara, Ritsuo Nishida, Soichi Kugimiya, Takayuki Miura, Emiko Horii and Ryogo Nakamura. Their work appears in journals such as Scientific Reports, Spine and Organic Letters.

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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