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 8
- HIV Research and Treatment 8
-
- RNA Research and Splicing 4
- Nuclear Structure and Function 4
- RNA regulation and disease 3
- Co-authors
- Masaaki Miyazawa (3 shared papers)Sachiyo Tsuji-Kawahara (2 shared papers)Yoko Aida (4 shared papers)Yoshihiro Yoneda (3 shared papers)Marc‐André Langlois (1 shared paper)Cristina Rada (1 shared paper)Michael S. Neuberger (1 shared paper)Jun Katahira (2 shared papers)
- Journals
- PLoS ONE (5 papers)Journal of Virology (3 papers)Biochemical and Biophysical Research Communications (1 paper)Genomics (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eri Takeda
26 papers receiving 439 citations
Peers
Comparison fields: 5 of 60
- Virology 146
- Immunology 142
- Pharmaceutical Science 23
- Infectious Diseases 58
- Molecular Biology 172
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 100 | |
| 2 | 2005 | 38 | |
| 3 | 2012 | 33 | |
| 4 | 2007 | 33 | |
| 5 | 2010 | 32 | |
| 6 | 2004 | 28 | |
| 7 | 2010 | 27 | |
| 8 | 2012 | 23 | |
| 9 | 2011 | 19 | |
| 10 | 2005 | 17 | |
| 11 | 2012 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2008 | 13 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2015 | 8 | |
| 17 | 2013 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 3 |
About Eri Takeda
Eri Takeda is a scholar working on Virology, Molecular Biology, Immunology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 28 papers that have together received 452 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Prenatal Screening and Diagnostics (6 papers), HIV/AIDS drug development and treatment (5 papers), interferon and immune responses (4 papers), RNA Research and Splicing (4 papers), Nuclear Structure and Function (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Virology (146 citations), Immunology (142 citations), Pharmaceutical Science (23 citations), Infectious Diseases (58 citations) and Molecular Biology (172 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, Marc‐André Langlois, Cristina Rada, Michael S. Neuberger, Jun Katahira, Mariluz Araínga and Kazuhiro Morimoto. Their work appears in journals such as PLoS ONE, Journal of Virology, Biochemical and Biophysical Research Communications, Genomics and Experimental Cell 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.