S. Naito

607 citations
23 papers · 465 indexed · h-index 10
Topics
Plant Disease Resistance and Genetics (13 papers)Plant and Fungal Interactions Research (7 papers)Plant Pathogens and Resistance (7 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

S. Naito

21 papers receiving 446 citations

Peers

S. Naito
Comparison fields: 5 of 48
  • Plant Science 389
  • Endocrinology 62
  • Surgery 49
  • Cell Biology 43
  • Molecular Biology 42
Replace Tilak Raj Sharma with:
Tilak Raj Sharma India
Hua‐Ying Fu China
Eman M. Khalaf Egypt
Cian Duggan United Kingdom
Lihang Zhang China
María Francisca Perera Argentina
Naveen Kumar Singh India
Alejandro Alonso Spain
Jeong-Soo Kim South Korea
J. A. Arroyave Colombia
S. Naito relative to Tilak Raj Sharma India Tilak Raj Sharma's profile →
Citations per field
00.5×
Tilak Raj Sharma · 1×
Citations per year

Countries citing papers authored by S. Naito

Since Specialization
Citations

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

Fields of papers citing papers by S. Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Naito

This figure shows the co-authorship network connecting the top 25 collaborators of S. Naito. A scholar is included among the top collaborators of S. 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 S. Naito. S. Naito 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
1 114
2 9
3 5
4 23
5 9
6 5
7 2
8 9
9 14
10 31
11 0
12 2
13 10
14
RAPD analysis of wild parents and single basidiospore isolates of Thanatephorus cucumeris (Rhizoctonia solani AG 2-2-IV) isolated from sugar beets [Beta vulgaris]
0
15 9
16 19
17 31
18 22
19 114
20
Changes in Microflora of Ozone-treated Cereals, Grains, Peas, Beans and Spices during Storage (Studies on Utilization of Ozone in Food Preservation Part V)
19

About S. Naito

S. Naito is a scholar working on Endocrinology, Plant Science and Surgery, having authored 23 papers that have together received 465 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (13 papers), Plant and Fungal Interactions Research (7 papers) and Plant Pathogens and Resistance (7 papers). The work is most often cited by research in Endocrinology (62 citations), Plant Science (389 citations) and Cell Biology (43 citations). S. Naito has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Tomoko Matsunaga, Rosario Nicoletti, E. Lahoz, M. Chino, Shigeki Takada, Junpei Takano, Hiroaki Hayashi, Toru Fujiwara, Shinji Wakuta and Miho Yasumori. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Pediatric Surgery and Plant Disease.

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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