Eriko Uchida
Impact in
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 8
- RNA Interference and Gene Delivery 7
- CRISPR and Genetic Engineering 6
- Genetics 17
- Virus-based gene therapy research 13
- Co-authors
- Takao Hayakawa (21 shared papers)Akiko Ishii‐Watabe (8 shared papers)Hiroyuki Mizuguchi (8 shared papers)John Blenis (1 shared paper)Timothy C. Grammer (1 shared paper)Jongkyeong Chung (1 shared paper)Zhili Xu (3 shared papers)Teruhide Yamaguchi (18 shared papers)
- Journals
- Biological and Pharmaceutical Bulletin (4 papers)Journal of Biological Chemistry (4 papers)Biochemical Pharmacology (2 papers)Current Cancer Drug Targets (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Eriko Uchida
41 papers receiving 2.0k citations
Eriko Uchida's Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 540
- Genetics 525
- Molecular Biology 1.3k
- Immunology 296
- Cancer Research 153
Countries citing papers authored by Eriko Uchida
This map shows the geographic impact of Eriko Uchida'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 Eriko Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eriko Uchida more than expected).
Fields of papers citing papers by Eriko Uchida
This network shows the impact of papers produced by Eriko Uchida. 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 Eriko Uchida. The network helps show where Eriko Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Eriko Uchida, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | STAT3 Serine Phosphorylation by ERK-Dependent and -Independent Pathways Negatively Modulates Its Tyrosine Phosphorylation Hit paper breakdown → | 1997 | 553 |
| 2 | 2000 | 444 | |
| 3 | 2010 | 276 | |
| 4 | 2001 | 144 | |
| 5 | 2002 | 108 | |
| 6 | 2002 | 46 | |
| 7 | 1997 | 45 | |
| 8 | 2019 | 44 | |
| 9 | 2004 | 40 | |
| 10 | 2005 | 39 | |
| 11 | 1999 | 34 | |
| 12 | 2018 | 29 | |
| 13 | 2007 | 28 | |
| 14 | 1996 | 26 | |
| 15 | 2000 | 22 | |
| 16 | 1999 | 20 | |
| 17 | 2015 | 18 | |
| 18 | 2003 | 17 | |
| 19 | 2016 | 15 | |
| 20 | 2003 | 15 |
About Eriko Uchida
Eriko Uchida is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Infectious Diseases, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), RNA Interference and Gene Delivery (7 papers), CRISPR and Genetic Engineering (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Erythropoietin and Anemia Treatment (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Oncology (540 citations), Genetics (525 citations), Molecular Biology (1.3k citations), Immunology (296 citations) and Cancer Research (153 citations). Eriko Uchida has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Takao Hayakawa, Akiko Ishii‐Watabe, Hiroyuki Mizuguchi, John Blenis, Timothy C. Grammer, Jongkyeong Chung, Zhili Xu, Teruhide Yamaguchi, Toshie Kanayasu‐Toyoda and Tadanori Mayumi. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Journal of Biological Chemistry, Biochemical Pharmacology, Current Cancer Drug Targets and Biochemical and Biophysical Research Communications.
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.