Tsugihiko Kamio
- Parasitology top 0.5%
- Insect Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Infectious Diseases top 5%
- Immunology
- Co-authors
- Kozo FujisakiShin‐ichiro KawazuChihiro SugimotoNaotoshi TsujiTakeharu MiyoshiTakashi IsobeXuenan XuanYosiaki Itô
- Topics
- Vector-borne infectious diseases (40 papers)Insect and Pesticide Research (17 papers)Vector-Borne Animal Diseases (17 papers)
In The Last Decade
Tsugihiko Kamio
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 55
- Parasitology 868
- Insect Science 444
- Ecology, Evolution, Behavior and Systematics 437
- Infectious Diseases 325
- Immunology 188
Countries citing papers authored by Tsugihiko Kamio
This map shows the geographic impact of Tsugihiko Kamio'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 Tsugihiko Kamio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsugihiko Kamio more than expected).
Fields of papers citing papers by Tsugihiko Kamio
This network shows the impact of papers produced by Tsugihiko Kamio. 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 Tsugihiko Kamio. The network helps show where Tsugihiko Kamio may publish in the future.
Co-authorship network of co-authors of Tsugihiko Kamio
This figure shows the co-authorship network connecting the top 25 collaborators of Tsugihiko Kamio. A scholar is included among the top collaborators of Tsugihiko Kamio 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 Tsugihiko Kamio. Tsugihiko Kamio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 35 | |
| 5 | 2 | |
| 6 | Characterization of P15 Antigen of Cryptosporidium parvum Expressed by a Recombinant Vaccinia Virus | 2 |
| 7 | 31 | |
| 8 | 36 | |
| 9 | 18 | |
| 10 | Rapid and sensitive method for detection of newly isolated Babesia parasite (Babesia sp. 1) in the anticipated vector-tick using the polymerase chain reaction technique. | 4 |
| 11 | 18 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | Serological survey of bovine theileriosis in Malaysia | 4 |
| 15 | 4 | |
| 16 | 34 | |
| 17 | 38 | |
| 18 | Epidemiology and pathogenicity of bovine theileriosis in Malaysia. | 9 |
| 19 | 16 | |
| 20 | 9 |
About Tsugihiko Kamio
Tsugihiko Kamio is a scholar working on Parasitology, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (40 papers), Insect and Pesticide Research (17 papers) and Vector-Borne Animal Diseases (17 papers). The work is most often cited by research in Parasitology (868 citations), Insect Science (444 citations) and Ecology, Evolution, Behavior and Systematics (437 citations). Tsugihiko Kamio has collaborated with scholars based in Japan, Israel and Thailand. Frequent co-authors include Kozo Fujisaki, Shin‐ichiro Kawazu, Chihiro Sugimoto, Naotoshi Tsuji, Naotoshi Tsuji, Kozo Fujisaki, Takeharu Miyoshi, Takashi Isobe, Xuenan Xuan and Yosiaki Itô. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Tropical Medicine and Hygiene and International Journal for Parasitology.
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.