Akito Kaga

5.6k total citations
139 papers, 3.9k citations indexed

About

Akito Kaga is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Akito Kaga has authored 139 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Plant Science, 17 papers in Molecular Biology and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Akito Kaga's work include Soybean genetics and cultivation (74 papers), Agricultural pest management studies (55 papers) and Legume Nitrogen Fixing Symbiosis (53 papers). Akito Kaga is often cited by papers focused on Soybean genetics and cultivation (74 papers), Agricultural pest management studies (55 papers) and Legume Nitrogen Fixing Symbiosis (53 papers). Akito Kaga collaborates with scholars based in Japan, Thailand and China. Akito Kaga's co-authors include ‍Norihiko Tomooka, Duncan A. Vaughan, Takehisa Isemura, ‍Masao Ishimoto, Prakit Somta, Peerasak Srinives, Takehiko Shimizu, Ouk Kyu Han, Yūichi Katayose and Ken Naito and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Akito Kaga

137 papers receiving 3.7k citations

Peers

Akito Kaga
Comparison fields: 5 of 88
  • Plant Science 3.6k
  • Molecular Biology 588
  • Ecology, Evolution, Behavior and Systematics 359
  • Genetics 342
  • Agronomy and Crop Science 221
Replace ‍Norihiko Tomooka with:
‍Norihiko Tomooka Japan
Lijuan Qiu China
Million Tadege United States
Junyi Gai China
Tianfu Han China
Jan De Riek Belgium
D. A. Sleper United States
Brian W. Diers United States
Elroy R. Cober Canada
Catherine Ravel France
‍Norihiko Tomooka Japan View profile →
Citations per field, relative to Akito Kaga
Akito Kaga · 1×
Citations per year, relative to Akito Kaga
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Countries citing papers authored by Akito Kaga

Since Specialization
Citations

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

Fields of papers citing papers by Akito Kaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akito Kaga

This figure shows the co-authorship network connecting the top 25 collaborators of Akito Kaga. A scholar is included among the top collaborators of Akito Kaga 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 Akito Kaga. Akito Kaga 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
# Work Indexed citations
1 7
2 0
3 1
4 5
5 5
6 8
7 6
8 10
9 14
10 45
11 24
12 11
13 13
14 33
15 75
16 63
17
Gene dispersal from soybean to wild soybean in Japan : Towards evaluation of potential impact of growing GM soybeans
1
18 1
19 20
20
Preliminary Study on Geographical Distribution and Evolutionary Relationships between Cultivated and Wild Adzuki Bean (Vigna angularis var. angularis and var. nipponensis) by AFLP Analysis
3

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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