Hiroshi Ikuma

43 total papers · 1.5k total citations
39 papers, 1.2k citations indexed

About

Hiroshi Ikuma is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hiroshi Ikuma has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 17 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hiroshi Ikuma's work include Soybean genetics and cultivation (7 papers), Plant tissue culture and regeneration (6 papers) and Plant nutrient uptake and metabolism (5 papers). Hiroshi Ikuma is often cited by papers focused on Soybean genetics and cultivation (7 papers), Plant tissue culture and regeneration (6 papers) and Plant nutrient uptake and metabolism (5 papers). Hiroshi Ikuma collaborates with scholars based in United States. Hiroshi Ikuma's co-authors include Kenneth V. Thimann, Walter D. Bonner, Peter B. Kaufman, Michael J. Montague, Najati S. Ghosheh, Paul A. Adams, Emma Jean Bowman, Mark Tepfer, V. J. Streusand and David L. Rayle and has published in prestigious journals such as Nature, Science and PLANT PHYSIOLOGY.

In The Last Decade

Hiroshi Ikuma

39 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hiroshi Ikuma 862 570 144 69 53 39 1.2k
Erwann Arc 1.1k 1.3× 566 1.0× 126 0.9× 39 0.6× 59 1.1× 29 1.4k
Ulrich L�ttge 833 1.0× 633 1.1× 289 2.0× 78 1.1× 46 0.9× 48 1.2k
Palak Chaturvedi 990 1.1× 574 1.0× 106 0.7× 130 1.9× 27 0.5× 43 1.4k
Arindam Ghatak 928 1.1× 436 0.8× 82 0.6× 109 1.6× 26 0.5× 37 1.3k
P. Lado 1.1k 1.2× 570 1.0× 76 0.5× 60 0.9× 65 1.2× 55 1.3k
R. Deltour 939 1.1× 708 1.2× 75 0.5× 45 0.7× 78 1.5× 53 1.3k
Hemming I. Virgin 889 1.0× 756 1.3× 182 1.3× 84 1.2× 31 0.6× 53 1.3k
L. Irina Zaharia 1000 1.2× 566 1.0× 74 0.5× 59 0.9× 34 0.6× 34 1.4k
Go Takeba 1.1k 1.3× 927 1.6× 66 0.5× 42 0.6× 39 0.7× 50 1.4k
Mary S. Spencer 765 0.9× 425 0.7× 48 0.3× 69 1.0× 32 0.6× 82 1.1k

Countries citing papers authored by Hiroshi Ikuma

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ikuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Ikuma

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

All Works

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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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