Takashi Ebihara
- Immunology top 2%
- Immune Cell Function and Interaction 23
- Immune Response and Inflammation 14
- Immunotherapy and Immune Responses 12
- IL-33, ST2, and ILC Pathways 11
- Infectious Diseases top 2%
- Parvovirus B19 Infection Studies 11
- Viral gastroenteritis research and epidemiology 10
- Epidemiology top 2%
- Respiratory viral infections research 16
- Microbiology top 5%
- Oncology top 10%
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- Eosinophilic Esophagitis 9
- Co-authors
- Tsukasa SeyaNobuhisa IshiguroHídeaki KikutaMisako MatsumotoRika EndoXiaoming MaHiroaki IshikoMasashi Shingai
- Journals
- Journal of Clinical Microbiology (7 papers)Journal of Medical Virology (5 papers)The Journal of Experimental Medicine (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takashi Ebihara
79 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 116
- Immunology 1.3k
- Infectious Diseases 861
- Epidemiology 1.3k
- Microbiology 126
- Oncology 280
Countries citing papers authored by Takashi Ebihara
This map shows the geographic impact of Takashi Ebihara'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 Takashi Ebihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Ebihara more than expected).
Fields of papers citing papers by Takashi Ebihara
This network shows the impact of papers produced by Takashi Ebihara. 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 Takashi Ebihara. The network helps show where Takashi Ebihara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Ebihara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 10 | |
| 6 | 2015 | 144 | |
| 7 | 2013 | 31 | |
| 8 | 2009 | 240 | |
| 9 | 2009 | 54 | |
| 10 | 2009 | 12 | |
| 11 | 2009 | 96 | |
| 12 | 2008 | 66 | |
| 13 | 2007 | 100 | |
| 14 | 2007 | 10 | |
| 15 | 2005 | 14 | |
| 16 | 2003 | 56 | |
| 17 | 2003 | 122 | |
| 18 | 2001 | 19 | |
| 19 | 1999 | 9 | |
| 20 | Clinicopathological Study on Pulp-irritation of Adhesive Resinous Materials (Report 3) Direct Capping Effects on Exposed Pulp of Macaca Fascicularis | 1997 | 4 |
About Takashi Ebihara
Takashi Ebihara is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 81 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), Respiratory viral infections research (16 papers), Immune Response and Inflammation (14 papers), Immunotherapy and Immune Responses (12 papers), IL-33, ST2, and ILC Pathways (11 papers), Parvovirus B19 Infection Studies (11 papers), Viral gastroenteritis research and epidemiology (10 papers) and Eosinophilic Esophagitis (9 papers). The work is most often cited by research in Immunology (1.3k citations), Infectious Diseases (861 citations) and Epidemiology (1.3k citations). Takashi Ebihara has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tsukasa Seya, Nobuhisa Ishiguro, Hídeaki Kikuta, Misako Matsumoto, Rika Endo, Xiaoming Ma, Hiroaki Ishiko, Masashi Shingai, Hiroyuki Oshiumi and Tadashi Ariga. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Virology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and International Immunology.
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.