Takahito Sanada
- Endocrinology top 2%
- Escherichia coli research studies 4
- Immunology top 5%
- Immune Response and Inflammation 9
- interferon and immune responses 5
- Cancer Research top 10%
- NF-κB Signaling Pathways 3
- Parasitology top 5%
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 2
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- Helicobacter pylori-related gastroenterology studies 5
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- Inflammasome and immune disorders 3
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- Veterinary medicine and infectious diseases 2
- Co-authors
- Hitomi MimuroChihiro SasakawaMichinaga OgawaHiroshi AshidaMinsoo KimT. KobayashiTakashi KobayashiHiromi Takaki
- Journals
- Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takahito Sanada
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Endocrinology 226
- Immunology 547
- Cancer Research 190
- Parasitology 74
- Infectious Diseases 204
Countries citing papers authored by Takahito Sanada
This map shows the geographic impact of Takahito Sanada'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 Takahito Sanada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahito Sanada more than expected).
Fields of papers citing papers by Takahito Sanada
This network shows the impact of papers produced by Takahito Sanada. 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 Takahito Sanada. The network helps show where Takahito Sanada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takahito Sanada, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 13 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 12 | |
| 6 | 2018 | 19 | |
| 7 | 2014 | 108 | |
| 8 | 2013 | 158 | |
| 9 | 2013 | 24 | |
| 10 | 2011 | 41 | |
| 11 | 2011 | 60 | |
| 12 | 2011 | 5 | |
| 13 | 2010 | 37 | |
| 14 | 2008 | 47 | |
| 15 | 2006 | 41 | |
| 16 | 2006 | 153 | |
| 17 | 2006 | 160 | |
| 18 | 2005 | 36 | |
| 19 | 2005 | 53 | |
| 20 | 2003 | 2 |
About Takahito Sanada
Takahito Sanada is a scholar working on Endocrinology, Immunology, Cancer Research, Small Animals and Cell Biology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), interferon and immune responses (5 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Escherichia coli research studies (4 papers), Inflammasome and immune disorders (3 papers), NF-κB Signaling Pathways (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Veterinary medicine and infectious diseases (2 papers). The work is most often cited by research in Endocrinology (226 citations), Immunology (547 citations), Cancer Research (190 citations), Parasitology (74 citations) and Infectious Diseases (204 citations). Takahito Sanada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hitomi Mimuro, Chihiro Sasakawa, Michinaga Ogawa, Hiroshi Ashida, Minsoo Kim, T. Kobayashi, Takashi Kobayashi, Hiromi Takaki, Yasumasa Minoda and Keiko Koga. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.