Akitoshi Goto

441 citations
18 papers · 347 indexed · h-index 9
Topics
Rice Cultivation and Yield Improvement (7 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)Radioactive contamination and transfer (6 papers)
Partner nations
JapanEgypt

In The Last Decade

Akitoshi Goto

18 papers receiving 339 citations

Peers

Akitoshi Goto
Comparison fields: 5 of 35
  • Plant Science 236
  • Global and Planetary Change 106
  • Radiological and Ultrasound Technology 63
  • Inorganic Chemistry 59
  • Genetics 59
Replace Francisco Marcus Lima Bezerra with:
Francisco Marcus Lima Bezerra Brazil
Béatrice Brunel France
Roger A. Kleese United States
Zhenyu Yang Germany
Priya George India
Michael Thieme Switzerland
Nurcan Yavuz Türkiye
Saowapa Duangpan Thailand
Ryoichi ITOH Japan
Carlos Henrique Carvalho de Sousa Brazil
Akitoshi Goto relative to Francisco Marcus Lima Bezerra Brazil Francisco Marcus Lima Bezerra's profile →
Citations per field
00.5×10×14.8×
Francisco Marcus Lima Bezerra · 1×
Citations per year

Countries citing papers authored by Akitoshi Goto

Since Specialization
Citations

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

Fields of papers citing papers by Akitoshi Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akitoshi Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Akitoshi Goto. A scholar is included among the top collaborators of Akitoshi Goto 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 Akitoshi Goto. Akitoshi Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 10
2 3
3 6
4 10
5 23
6 35
7 1
8 5
9 31
10 32
11 2
12 1
13 44
14 8
15 1
16 3
17 4
18 128

About Akitoshi Goto

Akitoshi Goto is a scholar working on Radiological and Ultrasound Technology, Plant Science and Inorganic Chemistry, having authored 18 papers that have together received 347 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Radioactive contamination and transfer (6 papers). The work is most often cited by research in Radiological and Ultrasound Technology (63 citations), Plant Science (236 citations) and Global and Planetary Change (106 citations). Akitoshi Goto has collaborated with scholars based in Japan and Egypt. Frequent co-authors include Kiyoyuki Miura, Tomio Terao, Tohru Yamagishi, Tsutomu Ishimaru, Ryu Ohsugi, Kazunari Takahashi, Toshiaki Matsuda, Tatsuro Hirose, Haruto Sasaki and Ryuichi Ishii. Their work appears in journals such as Scientific Reports, Plant and Soil and Frontiers in Plant Science.

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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