Hiroshi Kamada

11.8k citations
341 papers · 9.2k indexed · h-index 53
Topics
Plant tissue culture and regeneration (144 papers)Plant Molecular Biology Research (95 papers)Plant Reproductive Biology (55 papers)

In The Last Decade

Hiroshi Kamada

331 papers receiving 8.8k citations

Peers

Hiroshi Kamada
Comparison fields: 5 of 161
  • Plant Science 6.0k
  • Molecular Biology 5.8k
  • Biotechnology 584
  • Pathology and Forensic Medicine 432
  • Neurology 423
Replace Thomas Vogt with:
Thomas Vogt United States
Hiroyuki Ito Japan
Hui Chen China
Satoshi Ogawa Japan
Peng Lei China
Yu Wang China
Xiangning Jiang China
Yûkô Fukui Japan
Mark Fiers Belgium
Yue Wang China
Hiroshi Kamada relative to Thomas Vogt United States Thomas Vogt's profile →
Citations per field
00.5×5.8×
Thomas Vogt · 1×
Citations per year

Countries citing papers authored by Hiroshi Kamada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kamada

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kamada. A scholar is included among the top collaborators of Hiroshi Kamada 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 Hiroshi Kamada. Hiroshi Kamada 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
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A novel apparatus for active leg exercise improves venous flow in the lower extremity.
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6 139
7 18
8 5
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Isolation and Characterization of a cDNA Encoded an Embryogenic Cell Protein 63 Related to Embryogenesis from Carrot
8
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Production of haploid and diploid transgenic Atropa belladonna plants: morphological traits and tropane alkaloid production
1
11
Attitudes To Biotechnology In Japan And New Zealand In 1997, With International Comparisons
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12 23
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Somatic embryogenesis in higher plants
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14 17
15 6
16 15
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Parameter on movement through soil of radionuclides
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About Hiroshi Kamada

Hiroshi Kamada is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 341 papers that have together received 9.2k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (144 papers), Plant Molecular Biology Research (95 papers) and Plant Reproductive Biology (55 papers). The work is most often cited by research in Plant Science (6.0k citations), Molecular Biology (5.8k citations) and Biotechnology (584 citations). Hiroshi Kamada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroshi Harada, Pak H. Chan, Chikako Nito, Shinobu Satoh, Hidenori Endo, Akira Kikuchi, Fengshan Yu, Tsuyoshi Mizoguchi, Kazuo Shinozaki and Kazuko Yamaguchi‐Shinozaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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