Junya Makiyama
- Immunology
- Ecology, Evolution, Behavior and Systematics
- Agronomy and Crop Science top 10%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Kaoru UchimaruSeiichiro KobayashiMakoto YamagishiMakoto NakashimaTomohiro KogaKiyoshi MigitaToshiki WatanabeAtsushi Kawakami
- Topics
- T-cell and Retrovirus Studies (11 papers)Vector-Borne Animal Diseases (9 papers)Animal Disease Management and Epidemiology (6 papers)
In The Last Decade
Junya Makiyama
18 papers receiving 192 citations
Peers
Comparison fields: 5 of 41
- Immunology 120
- Ecology, Evolution, Behavior and Systematics 59
- Agronomy and Crop Science 51
- Pulmonary and Respiratory Medicine 41
- Molecular Biology 39
Countries citing papers authored by Junya Makiyama
This map shows the geographic impact of Junya Makiyama'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 Junya Makiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Makiyama more than expected).
Fields of papers citing papers by Junya Makiyama
This network shows the impact of papers produced by Junya Makiyama. 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 Junya Makiyama. The network helps show where Junya Makiyama may publish in the future.
Co-authorship network of co-authors of Junya Makiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Junya Makiyama. A scholar is included among the top collaborators of Junya Makiyama 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 Junya Makiyama. Junya Makiyama 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 | 1 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 48 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | [Outcome of patients with relapsed/refractory adult T-cell leukemia-lymphoma after salvage therapy]. | 7 |
| 16 | Successful treatment with tocilizumab in a patient with refractory adult-onset Still's disease (AOSD). | 19 |
| 17 | Serum levels of BAFF for assessing the disease activity of Takayasu arteritis. | 29 |
| 18 | A case of gastric cancer presenting as polymyalgia rheumatica. | 4 |
| 19 | 9 |
About Junya Makiyama
Junya Makiyama is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 192 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (11 papers), Vector-Borne Animal Diseases (9 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Immunology (120 citations), Agronomy and Crop Science (51 citations) and Ecology, Evolution, Behavior and Systematics (59 citations). Junya Makiyama has collaborated with scholars based in Japan and India. Frequent co-authors include Kaoru Uchimaru, Seiichiro Kobayashi, Makoto Yamagishi, Makoto Nakashima, Tomohiro Koga, Kiyoshi Migita, Toshiki Watanabe, Atsushi Kawakami, Masako Iwanaga and Yutaka Suzuki. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.
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.