Eri Takeda
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- T-cell and Retrovirus Studies
Papers in
- Virology 9
- HIV Research and Treatment 9
-
- Nuclear Structure and Function 4
- RNA Research and Splicing 4
- Co-authors
- Masaaki Miyazawa (3 shared papers)Sachiyo Tsuji-Kawahara (2 shared papers)Yoko Aida (4 shared papers)Yoshihiro Yoneda (3 shared papers)Cristina Rada (1 shared paper)Marc‐André Langlois (1 shared paper)Michael S. Neuberger (1 shared paper)Mariluz Araínga (1 shared paper)
- Journals
- PLoS ONE (5 papers)Journal of Virology (3 papers)Biochemical and Biophysical Research Communications (1 paper)Cancer Research (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eri Takeda
25 papers receiving 424 citations
Peers
Comparison fields: 5 of 62
- Virology 154
- Immunology 146
- Pharmaceutical Science 25
- Infectious Diseases 65
- Agronomy and Crop Science 28
Countries citing papers authored by Eri Takeda
This map shows the geographic impact of Eri Takeda'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 Eri Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Takeda more than expected).
Fields of papers citing papers by Eri Takeda
This network shows the impact of papers produced by Eri Takeda. 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 Eri Takeda. The network helps show where Eri Takeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Takeda, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 98 | |
| 2 | 2005 | 36 | |
| 3 | 2007 | 33 | |
| 4 | 2012 | 32 | |
| 5 | 2010 | 30 | |
| 6 | 2010 | 27 | |
| 7 | 2004 | 26 | |
| 8 | 2012 | 23 | |
| 9 | 2011 | 19 | |
| 10 | 2005 | 17 | |
| 11 | 2012 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2008 | 13 | |
| 14 | 2017 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2015 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2016 | 3 |
About Eri Takeda
Eri Takeda is a scholar working on Virology, Molecular Biology, Immunology, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 437 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Prenatal Screening and Diagnostics (5 papers), HIV/AIDS drug development and treatment (5 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers), Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), interferon and immune responses (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Virology (154 citations), Immunology (146 citations), Pharmaceutical Science (25 citations), Infectious Diseases (65 citations) and Agronomy and Crop Science (28 citations). Eri Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masaaki Miyazawa, Sachiyo Tsuji-Kawahara, Yoko Aida, Yoshihiro Yoneda, Cristina Rada, Marc‐André Langlois, Michael S. Neuberger, Mariluz Araínga, Jun Katahira and Toshinobu Seki. Their work appears in journals such as PLoS ONE, Journal of Virology, Biochemical and Biophysical Research Communications, Cancer Research and International Journal of Pharmaceutics.
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.