Shigeo Naito

717 citations
36 papers · 515 indexed · h-index 11

Shigeo Naito

35 papers receiving 492 citations

Peers

Shigeo Naito
Comparison fields: 5 of 32
  • Endocrinology 184
  • Plant Science 478
  • Cell Biology 127
  • Ecology, Evolution, Behavior and Systematics 67
  • Horticulture 3
Replace M. W. Sweetingham with:
M. W. Sweetingham Australia
R. M. Sonoda United States
Noemí Herrero Spain
Rebecca S. Bennett United States
F.V. Hebard United States
F.J. Vargas Spain
L. L. Singleton United States
Yukari Uetake Japan
Catherine Chatot France
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Shigeo Naito relative to M. W. Sweetingham Australia M. W. Sweetingham's profile →
Citations per field
00.5×8.3×
M. W. Sweetingham · 1×
Citations per year

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

The 25 scholars most cited alongside Shigeo Naito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shigeo Naito Line = papers co-authored together Shigeo Naito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20164
2 201031
3 200940
4 20082
5 2008165
6 20072
7 20059
8 20056
9 20056
10 20047
11 200412
12 20032
13 200318
14
Control of Sclerotia of Rhizoctonia solani by a Sciarid Fly, Phyxia scabiei, in Soil
19951
15 199512
16 199530
17
Soil-Borne Diseases and Ecology of Pathogens on Soybean Roots in Indonesia
199318
18
Ecological role of basidiospores of Thanatephorus cucumeris (Frank) Donk in the incidence of foliage blight of sugar beets in Japan.
19905
19 19881
20 19785

About Shigeo Naito

Shigeo Naito is a scholar working on Endocrinology, Cell Biology and Plant Science, having authored 36 papers that have together received 515 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (23 papers), Plant Pathogens and Fungal Diseases (19 papers), Plant Pathogens and Resistance (13 papers), Plant and Fungal Interactions Research (9 papers), Plant Disease Management Techniques (7 papers), Yeasts and Rust Fungi Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Nematode management and characterization studies (2 papers). The work is most often cited by research in Endocrinology (184 citations), Plant Science (478 citations) and Cell Biology (127 citations). Shigeo Naito has collaborated with scholars based in Japan, Israel and China. Frequent co-authors include Mitsuro Hyakumachi, Shiro Kuninaga, B. Sneh, Michal Sharon, Norio Kondo, Takashi Nakajima, Yasunori Koda, T. Kawahara, Hanako Shimura and Marc A. Cubeta. Their work appears in journals such as Plant Disease, European Journal of Plant Pathology and Mycorrhiza.

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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