Eishiro Shikata
- Plant Science top 1%
- Endocrinology top 0.5%
- Insect Science top 2%
- Molecular Biology
- Ecology top 5%
- Co-authors
- Ichiro UyedaKarl MaramoroschTeruo SanoTatsuji HatayaIkuo KimuraYoshichika KitagawaRobert R. GranadosKazusato Ohshima
- Topics
- Plant Virus Research Studies (119 papers)Plant and Fungal Interactions Research (49 papers)Plant Disease Resistance and Genetics (39 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Eishiro Shikata
121 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 68
- Plant Science 1.9k
- Endocrinology 883
- Insect Science 417
- Molecular Biology 354
- Ecology 296
Countries citing papers authored by Eishiro Shikata
This map shows the geographic impact of Eishiro Shikata'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 Eishiro Shikata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eishiro Shikata more than expected).
Fields of papers citing papers by Eishiro Shikata
This network shows the impact of papers produced by Eishiro Shikata. 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 Eishiro Shikata. The network helps show where Eishiro Shikata may publish in the future.
Co-authorship network of co-authors of Eishiro Shikata
This figure shows the co-authorship network connecting the top 25 collaborators of Eishiro Shikata. A scholar is included among the top collaborators of Eishiro Shikata 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 Eishiro Shikata. Eishiro Shikata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 30 | |
| 3 | Detection of citrus exocortis viroid by PCR-microplate hybridization. | 0 |
| 4 | 16 | |
| 5 | 18 | |
| 6 | 34 | |
| 7 | 6 | |
| 8 | 26 | |
| 9 | 18 | |
| 10 | 26 | |
| 11 | Complementary DNA Cloning and Nucleotide Sequence of Three Satellite RNAs Associated with Cucumber Mosaic Virus | 1 |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 0 | |
| 15 | 49 | |
| 16 | 2 | |
| 17 | 21 | |
| 18 | 7 | |
| 19 | 8 | |
| 20 | Electron microscopy of virus-like particles associated with transitory yellowing virus-infected Rice plants in Taiwan. | 4 |
About Eishiro Shikata
Eishiro Shikata is a scholar working on Endocrinology, Plant Science and Insect Science, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Virus Research Studies (119 papers), Plant and Fungal Interactions Research (49 papers) and Plant Disease Resistance and Genetics (39 papers). The work is most often cited by research in Endocrinology (883 citations), Plant Science (1.9k citations) and Insect Science (417 citations). Eishiro Shikata has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Ichiro Uyeda, Karl Maramorosch, Teruo Sano, Tatsuji Hataya, Ikuo Kimura, Yoshichika Kitagawa, Robert R. Granados, Kazusato Ohshima, T. Fukushi and Hiroshi Kudo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.