Takayoshi Tashiro
- Infectious Diseases top 1%
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Small Animals top 1%
- Co-authors
- Shigeru KohnoKazunori TomonoS KohnoKatsunori YanagiharaHiroshi KakeyaYoshihiro YamamotoYoichi HirakataKoichi Izumikawa
- Topics
- Antifungal resistance and susceptibility (39 papers)Fungal Infections and Studies (26 papers)Pneumonia and Respiratory Infections (23 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takayoshi Tashiro
135 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 122
- Infectious Diseases 1.5k
- Epidemiology 1.5k
- Pulmonary and Respiratory Medicine 449
- Molecular Biology 439
- Small Animals 240
Countries citing papers authored by Takayoshi Tashiro
This map shows the geographic impact of Takayoshi Tashiro'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 Takayoshi Tashiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Tashiro more than expected).
Fields of papers citing papers by Takayoshi Tashiro
This network shows the impact of papers produced by Takayoshi Tashiro. 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 Takayoshi Tashiro. The network helps show where Takayoshi Tashiro may publish in the future.
Co-authorship network of co-authors of Takayoshi Tashiro
This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Tashiro. A scholar is included among the top collaborators of Takayoshi Tashiro 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 Takayoshi Tashiro. Takayoshi Tashiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 25 | |
| 3 | 6 | |
| 4 | 78 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 71 | |
| 8 | 35 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | Clinicopathological Study of 50 Cases of Lung Cancer Associated with Silicosis | 1 |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | Preclinical studies on TE-031 (A-56268), a macrolide, and clinical study on its application in respiratory tract infections | 3 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 0 |
About Takayoshi Tashiro
Takayoshi Tashiro is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 141 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (39 papers), Fungal Infections and Studies (26 papers) and Pneumonia and Respiratory Infections (23 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Epidemiology (1.5k citations) and Small Animals (240 citations). Takayoshi Tashiro has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shigeru Kohno, Kazunori Tomono, S Kohno, Katsunori Yanagihara, Hiroshi Kakeya, Yoshihiro Yamamoto, Yoichi Hirakata, Koichi Izumikawa, Yoshitsugu Miyazaki and Shigefumi Maesaki. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology 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.