Eri Oda
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
- Immunology top 5%
- interferon and immune responses
Papers in
- Co-authors
- Nobuyuki Tanaka (7 shared papers)Tadatsugu Taniguchi (7 shared papers)Hideki Murasawa (3 shared papers)Tsukasa Shibue (2 shared papers)Rieko Ohki (2 shared papers)Toshiharu Yamashita (1 shared paper)Takashi Tokino (1 shared paper)Mitsuharu Sato (2 shared papers)
- Journals
- Anticancer Research (9 papers)Molecular and Cellular Biology (3 papers)Molecular Genetics and Metabolism (2 papers)Brain and Development (2 papers)Genes & Development (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Eri Oda
31 papers receiving 2.9k citations
Eri Oda's Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 1.2k
- Immunology 614
- Molecular Biology 1.9k
- Cancer Research 380
- Biotechnology 161
Countries citing papers authored by Eri Oda
This map shows the geographic impact of Eri Oda'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 Oda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Oda more than expected).
Fields of papers citing papers by Eri Oda
This network shows the impact of papers produced by Eri Oda. 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 Oda. The network helps show where Eri Oda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Oda, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Noxa, a BH3-Only Member of the Bcl-2 Family and Candidate Mediator of p53-Induced Apoptosis Hit paper breakdown → | 2000 | 1753 |
| 2 | 2003 | 279 | |
| 3 | 1998 | 227 | |
| 4 | 2000 | 174 | |
| 5 | 1998 | 146 | |
| 6 | 1998 | 76 | |
| 7 | 2009 | 49 | |
| 8 | 2008 | 47 | |
| 9 | 2017 | 37 | |
| 10 | 2015 | 36 | |
| 11 | 1995 | 32 | |
| 12 | 2011 | 27 | |
| 13 | 1998 | 26 | |
| 14 | 2024 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 1998 | 9 | |
| 17 | 2011 | 9 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 5 |
About Eri Oda
Eri Oda is a scholar working on Surgery, Oncology, Molecular Biology, Rheumatology and Hepatology, having authored 37 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), interferon and immune responses (4 papers), Lysosomal Storage Disorders Research (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Cancer-related Molecular Pathways (3 papers), Cancer Diagnosis and Treatment (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Oncology (1.2k citations), Immunology (614 citations), Molecular Biology (1.9k citations), Cancer Research (380 citations) and Biotechnology (161 citations). Eri Oda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Nobuyuki Tanaka, Tadatsugu Taniguchi, Hideki Murasawa, Tsukasa Shibue, Rieko Ohki, Toshiharu Yamashita, Takashi Tokino, Mitsuharu Sato, Naoki Hata and Akinori Takaoka. Their work appears in journals such as Anticancer Research, Molecular and Cellular Biology, Molecular Genetics and Metabolism, Brain and Development and Genes & Development.
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.