Ken Maeda
Impact in
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
- Virology top 2%
Papers in
-
- Viral Infections and Vectors 60
- Viral gastroenteritis research and epidemiology 43
- Epidemiology 92
- Herpesvirus Infections and Treatments 61
- Virology and Viral Diseases 27
- Co-authors
- Hiroshi Shimoda (57 shared papers)Masami Mochizuki (19 shared papers)Ryusei Kuwata (29 shared papers)Yukinobu Tohya (28 shared papers)Keita Noguchi (18 shared papers)Yasushi Kawaguchi (24 shared papers)Masayuki Shimojima (18 shared papers)T. Mikami (20 shared papers)
- Journals
- Archives of Virology (19 papers)Viruses (11 papers)Veterinary Microbiology (9 papers)Virus Genes (8 papers)Emerging infectious diseases (8 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Ken Maeda
225 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 1.9k
- Virology 354
- Parasitology 484
- Animal Science and Zoology 540
- Epidemiology 1.1k
Countries citing papers authored by Ken Maeda
This map shows the geographic impact of Ken Maeda'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 Ken Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Maeda more than expected).
Fields of papers citing papers by Ken Maeda
This network shows the impact of papers produced by Ken Maeda. 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 Ken Maeda. The network helps show where Ken Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 113 | |
| 2 | 2019 | 83 | |
| 3 | 2014 | 82 | |
| 4 | 2007 | 81 | |
| 5 | 2019 | 81 | |
| 6 | 2013 | 79 | |
| 7 | 2022 | 71 | |
| 8 | 2019 | 69 | |
| 9 | 2008 | 68 | |
| 10 | 2010 | 67 | |
| 11 | 2015 | 52 | |
| 12 | 2014 | 51 | |
| 13 | 2009 | 51 | |
| 14 | 2007 | 46 | |
| 15 | 2021 | 44 | |
| 16 | 2018 | 44 | |
| 17 | 2011 | 43 | |
| 18 | 2011 | 40 | |
| 19 | 2019 | 40 | |
| 20 | 1998 | 37 |
About Ken Maeda
Ken Maeda is a scholar working on Infectious Diseases, Epidemiology, Genetics, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 236 papers that have together received 3.7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (61 papers), Viral Infections and Vectors (60 papers), Virus-based gene therapy research (58 papers), Viral gastroenteritis research and epidemiology (43 papers), Animal Virus Infections Studies (39 papers), Vector-Borne Animal Diseases (35 papers), Virology and Viral Diseases (27 papers) and Mosquito-borne diseases and control (27 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Virology (354 citations), Parasitology (484 citations), Animal Science and Zoology (540 citations) and Epidemiology (1.1k citations). Ken Maeda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hiroshi Shimoda, Masami Mochizuki, Ryusei Kuwata, Yukinobu Tohya, Keita Noguchi, Yasushi Kawaguchi, Masayuki Shimojima, T. Mikami, Shigeru Morikawa and Yutaka Terada. Their work appears in journals such as Archives of Virology, Viruses, Veterinary Microbiology, Virus Genes 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.