Hajime Kamiya
- Epidemiology top 5%
- Microbiology top 0.5%
- Infectious Diseases top 5%
- Parasitology top 5%
- Health top 5%
- Co-authors
- Hiroshi SatoTakuya YamagishiTamano MatsuiTomimasa SunagawaMotoi SuzukiKensaku KakimotoTakaji WakitaMuhamed‐Kheir Taha
- Topics
- Bacterial Infections and Vaccines (23 papers)Vaccine Coverage and Hesitancy (15 papers)Pneumonia and Respiratory Infections (15 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hajime Kamiya
100 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Epidemiology 813
- Microbiology 569
- Infectious Diseases 433
- Parasitology 162
- Health 157
Countries citing papers authored by Hajime Kamiya
This map shows the geographic impact of Hajime Kamiya'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 Hajime Kamiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Kamiya more than expected).
Fields of papers citing papers by Hajime Kamiya
This network shows the impact of papers produced by Hajime Kamiya. 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 Hajime Kamiya. The network helps show where Hajime Kamiya may publish in the future.
Co-authorship network of co-authors of Hajime Kamiya
This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Kamiya. A scholar is included among the top collaborators of Hajime Kamiya 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 Hajime Kamiya. Hajime Kamiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 16 | |
| 8 | 19 | |
| 9 | 55 | |
| 10 | 20 | |
| 11 | 16 | |
| 12 | 41 | |
| 13 | 19 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 10 | |
| 18 | Diagnosis of schistosomiasis japonica by indirect immunoperoxidase technique using Schistosoma japonicum eggs in formalin-fixed liver sections. | 0 |
| 19 | Studies on host resistance to infection with Echinococcus multilocularis 2. Lytic effect of complement and its mechanism. | 6 |
| 20 | Studies on the host resistance to infection with Echinococcus multilocularis. I. Difference of susceptibility of various rodents, especially of congenitally athymic nude mice. | 7 |
About Hajime Kamiya
Hajime Kamiya is a scholar working on Microbiology, Health and Parasitology, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (23 papers), Vaccine Coverage and Hesitancy (15 papers) and Pneumonia and Respiratory Infections (15 papers). The work is most often cited by research in Microbiology (569 citations), Modeling and Simulation (137 citations) and Parasitology (162 citations). Hajime Kamiya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Sato, Takuya Yamagishi, Tamano Matsui, Tomimasa Sunagawa, Motoi Suzuki, Kensaku Kakimoto, Takaji Wakita, Muhamed‐Kheir Taha, Julio A. Vázquez and Ray Borrow. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.