Irene M. Ota
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 4
- Molecular Biology top 5%
- Fungal and yeast genetics research 10
- Protein Tyrosine Phosphatases 6
- Protein purification and stability 3
- Cancer-related gene regulation 3
- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 2
- Aging top 5%
- Plant Science top 5%
- Parasitology top 10%
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- Amino Acid Enzymes and Metabolism 2
- Co-authors
- Alexander VarshavskyErica S. JohnsonSteven ClarkeChristopher P. MattisonJames MapesJi LeeRussell BellSudhir Sahasrabudhe
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Irene M. Ota
23 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 568
- Molecular Biology 2.3k
- Aging 57
- Plant Science 403
- Parasitology 63
Countries citing papers authored by Irene M. Ota
This map shows the geographic impact of Irene M. Ota'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 Irene M. Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene M. Ota more than expected).
Fields of papers citing papers by Irene M. Ota
This network shows the impact of papers produced by Irene M. Ota. 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 Irene M. Ota. The network helps show where Irene M. Ota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Irene M. Ota, 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 | 2022 | 1 | |
| 2 | 2007 | 4 | |
| 3 | 2005 | 384 | |
| 4 | 2005 | 6 | |
| 5 | 2004 | 10 | |
| 6 | 2003 | 69 | |
| 7 | 2002 | 65 | |
| 8 | 2001 | 148 | |
| 9 | 2000 | 102 | |
| 10 | 1999 | 89 | |
| 11 | 1997 | 135 | |
| 12 | A Proteolytic Pathway That Recognizes Ubiquitin as a Degradation Signalbreakdown → | 1995 | 691 |
| 13 | 1993 | 356 | |
| 14 | 1990 | 22 | |
| 15 | 1990 | 52 | |
| 16 | 1989 | 61 | |
| 17 | 1989 | 36 | |
| 18 | 1989 | 43 | |
| 19 | 1989 | 52 | |
| 20 | 1988 | 32 |
About Irene M. Ota
Irene M. Ota is a scholar working on Molecular Biology, Public Administration and Biochemistry, having authored 23 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (10 papers), Protein Tyrosine Phosphatases (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Protein purification and stability (3 papers), Cancer-related gene regulation (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Protein Structure and Dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cell Biology (568 citations), Molecular Biology (2.3k citations) and Aging (57 citations). Irene M. Ota has collaborated with scholars based in United States and Russia. Frequent co-authors include Alexander Varshavsky, Erica S. Johnson, Steven Clarke, Christopher P. Mattison, James Mapes, Ji Lee, Russell Bell, Sudhir Sahasrabudhe, Cornelia Kurschner and Marissa Vignali. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.