Keita Noguchi
- Infectious Diseases top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Animal Science and Zoology top 5%
- Public Health, Environmental and Occupational Health
- Genetics
- Co-authors
- Ken MaedaHiroshi ShimodaYutaka TeradaRyusei KuwataMasami MochizukiTakehisa SOMAAkihiro NishiguchiYasuyuki Momoi
- Topics
- Viral Infections and Vectors (8 papers)Viral gastroenteritis research and epidemiology (7 papers)Mosquito-borne diseases and control (6 papers)
- Partner nations
- JapanThailandUnited States
In The Last Decade
Keita Noguchi
22 papers receiving 463 citations
Peers
Comparison fields: 5 of 41
- Infectious Diseases 402
- Ecology, Evolution, Behavior and Systematics 156
- Animal Science and Zoology 127
- Public Health, Environmental and Occupational Health 89
- Genetics 82
Countries citing papers authored by Keita Noguchi
This map shows the geographic impact of Keita Noguchi'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 Keita Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keita Noguchi more than expected).
Fields of papers citing papers by Keita Noguchi
This network shows the impact of papers produced by Keita Noguchi. 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 Keita Noguchi. The network helps show where Keita Noguchi may publish in the future.
Co-authorship network of co-authors of Keita Noguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Keita Noguchi. A scholar is included among the top collaborators of Keita Noguchi 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 Keita Noguchi. Keita Noguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 10 | |
| 3 | 78 | |
| 4 | 25 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 103 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | The assumption on the spread of Potato mop-top virus in Japan based on field survey. | 1 |
| 19 | 8 | |
| 20 | 8 |
About Keita Noguchi
Keita Noguchi is a scholar working on Infectious Diseases, Parasitology and Animal Science and Zoology, having authored 22 papers that have together received 472 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Infectious Diseases (402 citations), Animal Science and Zoology (127 citations) and Ecology, Evolution, Behavior and Systematics (156 citations). Keita Noguchi has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Ken Maeda, Hiroshi Shimoda, Yutaka Terada, Ryusei Kuwata, Masami Mochizuki, Takehisa SOMA, Akihiro Nishiguchi, Yasuyuki Momoi, Aya Matsuu and Toshio Kishimoto. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Emerging infectious diseases.
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.