Keiko Ozato

5.5k citations
46 papers · 4.4k indexed · 1 hit paper · h-index 27
Topics
Retinoids in leukemia and cellular processes (12 papers)Protein Degradation and Inhibitors (12 papers)Estrogen and related hormone effects (10 papers)

In The Last Decade

Keiko Ozato

44 papers receiving 4.3k citations

Hit Papers

A POU-domain transcription factor in early stem cells and...19902026200220141990250500750

Peers

Keiko Ozato
Comparison fields: 5 of 110
  • Molecular Biology 3.5k
  • Genetics 917
  • Immunology 682
  • Oncology 613
  • Hematology 358
Replace Anup Dey with:
Anup Dey United States
Tina-Marie Mullen United States
Adrien Staub France
Tetsu Kamitani United States
Graham H. Goodwin United Kingdom
Cheng-Ming Chiang United States
Richard Eckner United States
J. Frederic Mushinski United States
Michael J. Pazin United States
William P. Tansey United States
Keiko Ozato relative to Anup Dey United States Anup Dey's profile →
Citations per field
00.5×1.5×1.8×
Anup Dey · 1×
Citations per year

Countries citing papers authored by Keiko Ozato

Since Specialization
Citations

This map shows the geographic impact of Keiko Ozato'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 Keiko Ozato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Ozato more than expected).

Fields of papers citing papers by Keiko Ozato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keiko Ozato. 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 Keiko Ozato. The network helps show where Keiko Ozato may publish in the future.

Co-authorship network of co-authors of Keiko Ozato

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Ozato. A scholar is included among the top collaborators of Keiko Ozato 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 Keiko Ozato. Keiko Ozato 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 0
2 5
3 7
4 20
5 27
6 280
7 239
8 27
9 253
10 324
11 15
12 380
13 20
14 36
15 9
16 30
17 10
18
A POU-domain transcription factor in early stem cells and germ cells of the mammalian embryobreakdown →
781
19 7
20 16

About Keiko Ozato

Keiko Ozato is a scholar working on Toxicology, Molecular Biology and Immunology, having authored 46 papers that have together received 4.4k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (12 papers), Protein Degradation and Inhibitors (12 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Genetics (917 citations) and Immunology (682 citations). Keiko Ozato has collaborated with scholars based in United States, Japan and Hungary. Frequent co-authors include Anup Dey, Mitchell H. Rosner, Peter Rigby, Louis M. Staudt, M Viganò, Paula M. Timmons, Saverio Minucci, Sridhar K. Rabindran, Carl Wu and Marian A. Martínez‐Balbás. Their work appears in journals such as Nature, Science and Cell.

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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