Masanobu Kamada
- Infectious Diseases top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Epidemiology top 10%
- Agronomy and Crop Science top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Yoshio FukunagaHiroshi ImagawaTakeshi KumanomidoTakumi KanemaruShinji Takaı̈Yutaka AkiyamaRyuichi WadaT Sugiura
- Topics
- Vector-Borne Animal Diseases (27 papers)Animal Virus Infections Studies (25 papers)Animal Disease Management and Epidemiology (22 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Masanobu Kamada
100 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 965
- Ecology, Evolution, Behavior and Systematics 409
- Epidemiology 333
- Agronomy and Crop Science 321
- Public Health, Environmental and Occupational Health 295
Countries citing papers authored by Masanobu Kamada
This map shows the geographic impact of Masanobu Kamada'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 Masanobu Kamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masanobu Kamada more than expected).
Fields of papers citing papers by Masanobu Kamada
This network shows the impact of papers produced by Masanobu Kamada. 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 Masanobu Kamada. The network helps show where Masanobu Kamada may publish in the future.
Co-authorship network of co-authors of Masanobu Kamada
This figure shows the co-authorship network connecting the top 25 collaborators of Masanobu Kamada. A scholar is included among the top collaborators of Masanobu Kamada 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 Masanobu Kamada. Masanobu Kamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | Contagious equine metritis : A survey on complement fixing antibody against Haemophilus equigenitalis in light horses in Japan | 3 |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 3 |
About Masanobu Kamada
Masanobu Kamada is a scholar working on Endocrinology, Agronomy and Crop Science and Animal Science and Zoology, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (27 papers), Animal Virus Infections Studies (25 papers) and Animal Disease Management and Epidemiology (22 papers). The work is most often cited by research in Endocrinology (286 citations), Infectious Diseases (965 citations) and Equine (79 citations). Masanobu Kamada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoshio Fukunaga, Hiroshi Imagawa, Takeshi Kumanomido, Takumi Kanemaru, Shinji Takaı̈, Yutaka Akiyama, Ryuichi Wada, T Sugiura, Toru ANZAI and Takeshi Matsumura. Their work appears in journals such as Journal of Clinical Microbiology, Virology and Journal of General Virology.
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.