Irene M. Ota

3.3k citations
23 papers · 2.6k indexed · 1 hit paper · h-index 19
Topics
Fungal and yeast genetics research (10 papers)Protein Tyrosine Phosphatases (6 papers)Endoplasmic Reticulum Stress and Disease (4 papers)
Partner nations
United StatesRussia

In The Last Decade

Irene M. Ota

23 papers receiving 2.6k citations

Hit Papers

A Proteolytic Pathway That Recognizes Ubiquitin as a Degr...19952026200520151995200400600

Peers

Irene M. Ota
Comparison fields: 5 of 98
  • Molecular Biology 2.3k
  • Cell Biology 568
  • Plant Science 403
  • Epidemiology 274
  • Oncology 232
Replace Claudia Abeijón with:
Claudia Abeijón United States
L Guarente United States
Jonathan Greene United States
Fang‐Jen S. Lee Taiwan
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Michael Shales United States
Anita K. Hopper United States
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Zhaohui Xu United States
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Irene M. Ota relative to Claudia Abeijón United States Claudia Abeijón's profile →
Citations per field
00.5×1.6×
Claudia Abeijón · 1×
Citations per year

Countries citing papers authored by Irene M. Ota

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Irene M. Ota

This figure shows the co-authorship network connecting the top 25 collaborators of Irene M. Ota. A scholar is included among the top collaborators of Irene M. Ota based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irene M. Ota. Irene M. Ota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 384
4 6
5 10
6 69
7 65
8 148
9 102
10 89
11 135
12
A Proteolytic Pathway That Recognizes Ubiquitin as a Degradation Signalbreakdown →
691
13 356
14 22
15 52
16 61
17 36
18 43
19 52
20 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) and Endoplasmic Reticulum Stress and Disease (4 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.

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