Daisuke Sasai
Impact in
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
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- Fungal Infections and Studies
- Neuroendocrine Tumor Research Advances
Papers in
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- Fungal Infections and Studies 7
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- Antifungal resistance and susceptibility 8
- Co-authors
- Kazutoshi Shibuya (18 shared papers)Megumi Wakayama (15 shared papers)Yoichiro Okubo (15 shared papers)Tetsuo Nemoto (13 shared papers)Haruo Nakayama (13 shared papers)Takao Ishiwatari (12 shared papers)Minoru Shinozaki (14 shared papers)Tomoyuki Yokose (4 shared papers)
- Journals
- Diagnostic Pathology (4 papers)Journal of Clinical Microbiology (2 papers)BMC Cancer (2 papers)The Annals of Thoracic Surgery (1 paper)Respiratory Research (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Daisuke Sasai
24 papers receiving 404 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 119
- Epidemiology 172
- Endocrinology, Diabetes and Metabolism 65
- Surgery 155
- Small Animals 24
Countries citing papers authored by Daisuke Sasai
This map shows the geographic impact of Daisuke Sasai'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 Daisuke Sasai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Sasai more than expected).
Fields of papers citing papers by Daisuke Sasai
This network shows the impact of papers produced by Daisuke Sasai. 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 Daisuke Sasai. The network helps show where Daisuke Sasai may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Sasai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 72 | |
| 2 | 2011 | 46 | |
| 3 | 2010 | 37 | |
| 4 | 2012 | 30 | |
| 5 | 2013 | 27 | |
| 6 | 2010 | 26 | |
| 7 | 2012 | 25 | |
| 8 | 2014 | 18 | |
| 9 | 2013 | 17 | |
| 10 | 2013 | 15 | |
| 11 | 2014 | 14 | |
| 12 | 2012 | 14 | |
| 13 | 2013 | 10 | |
| 14 | 2012 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2012 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2012 | 5 |
About Daisuke Sasai
Daisuke Sasai is a scholar working on Epidemiology, Infectious Diseases, Surgery, Pulmonary and Respiratory Medicine and Plant Science, having authored 24 papers that have together received 409 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers), Plant Pathogens and Fungal Diseases (3 papers), Mycotoxins in Agriculture and Food (3 papers), Gastrointestinal disorders and treatments (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Vascular Anomalies and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (119 citations), Epidemiology (172 citations), Endocrinology, Diabetes and Metabolism (65 citations), Surgery (155 citations) and Small Animals (24 citations). Daisuke Sasai has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kazutoshi Shibuya, Megumi Wakayama, Yoichiro Okubo, Tetsuo Nemoto, Haruo Nakayama, Takao Ishiwatari, Minoru Shinozaki, Tomoyuki Yokose, Nobuyuki Hiruta and Kanako Kitahara. Their work appears in journals such as Diagnostic Pathology, Journal of Clinical Microbiology, BMC Cancer, The Annals of Thoracic Surgery and Respiratory Research.
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.