Shigeo Naito

42 total papers · 715 total citations
36 papers, 513 citations indexed

About

Shigeo Naito is a scholar working on Plant Science, Cell Biology and Endocrinology. According to data from OpenAlex, Shigeo Naito has authored 36 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 19 papers in Cell Biology and 9 papers in Endocrinology. Recurrent topics in Shigeo Naito's work include Plant Disease Resistance and Genetics (23 papers), Plant Pathogens and Fungal Diseases (19 papers) and Plant Pathogens and Resistance (13 papers). Shigeo Naito is often cited by papers focused on Plant Disease Resistance and Genetics (23 papers), Plant Pathogens and Fungal Diseases (19 papers) and Plant Pathogens and Resistance (13 papers). Shigeo Naito collaborates with scholars based in Japan, United States and Israel. Shigeo Naito's co-authors include B. Sneh, Mitsuro Hyakumachi, Shiro Kuninaga, Michal Sharon, Norio Kondo, Takashi Nakajima, Yasunori Koda, T. Kawahara, Hanako Shimura and Kelly Ivors and has published in prestigious journals such as Plant Disease, European Journal of Plant Pathology and Mycorrhiza.

In The Last Decade

Shigeo Naito

35 papers receiving 490 citations

Author Peers

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

Author Last Decade Papers Cites
Shigeo Naito 476 184 127 67 55 36 513
L.M. Martín 269 0.6× 165 0.9× 50 0.4× 47 0.7× 46 0.8× 33 479
David Feindel 524 1.1× 140 0.8× 71 0.6× 53 0.8× 79 1.4× 38 601
Susanne von Bargen 518 1.1× 177 1.0× 120 0.9× 44 0.7× 54 1.0× 52 559
Jason E. Woodward 420 0.9× 93 0.5× 169 1.3× 23 0.3× 39 0.7× 48 464
María Clara 398 0.8× 108 0.6× 102 0.8× 26 0.4× 60 1.1× 30 498
Seyed Mostafa Pirseyedi 472 1.0× 43 0.2× 32 0.3× 67 1.0× 111 2.0× 36 573
Guglielmo Lione 350 0.7× 152 0.8× 259 2.0× 57 0.9× 73 1.3× 38 472
Xiangling Fang 457 1.0× 31 0.2× 225 1.8× 34 0.5× 78 1.4× 28 557
C. Rubies‐Autonell 437 0.9× 99 0.5× 19 0.1× 67 1.0× 117 2.1× 38 512
Rebecca S. Bennett 405 0.9× 73 0.4× 192 1.5× 22 0.3× 63 1.1× 42 466

Countries citing papers authored by Shigeo Naito

Since Specialization
Citations

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

Fields of papers citing papers by Shigeo Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeo Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeo Naito. A scholar is included among the top collaborators of Shigeo Naito 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 Shigeo Naito. Shigeo Naito 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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