Sara Ota

469 citations
12 papers · 365 · h-index 11

Impact in

    • Ubiquitin and proteasome pathways
    • Congenital heart defects research
    • Epigenetics and DNA Methylation
    • Fibroblast Growth Factor Research
    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics

Papers in

    • Wnt/β-catenin signaling in development and cancer 4
    • Fibroblast Growth Factor Research 4
    • Epigenetics and DNA Methylation 3
    • Histone Deacetylase Inhibitors Research 2
    • Cancer-related gene regulation 2
    • Cancer-related Molecular Pathways 4

Sara Ota

12 papers receiving 361 citations

Peers

Sara Ota
Comparison fields: 5 of 56
  • Molecular Biology 308
  • Developmental Biology 8
  • Cancer Research 48
  • Genetics 84
  • Oncology 79
Replace Xinyuan Pan with:
Xinyuan Pan China
Silvia Azzarello‐Burri Switzerland
A Superti‐Furga Switzerland
Jeannette Connerney United States
Alice Costantini Sweden
Leticia Fröhlich Archangelo Brazil
Jennifer L. Smedberg United States
Maxwell C. Eblaghie United Kingdom
Kelly Lammerts van Bueren United States
Ji Yoo Kim Japan
Sara Ota relative to Xinyuan Pan China Xinyuan Pan's profile →
Citations per field
00.5×1.5×
Xinyuan Pan · 1×
Citations per year

Countries citing papers authored by Sara Ota

Since Specialization
Citations

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

Fields of papers citing papers by Sara Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Ota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Ota Line = papers co-authored together Sara Ota links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200285
2 200563
3 200746
4 201429
5 200628
6 201228
7 201220
8 200919
9 201118
10 201612
11 200412
12 20175

About Sara Ota

Sara Ota is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 365 indexed citations. Recurring topics across this work include Connective tissue disorders research (4 papers), Cancer-related Molecular Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Fibroblast Growth Factor Research (4 papers), Epigenetics and DNA Methylation (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (308 citations), Developmental Biology (8 citations), Cancer Research (48 citations), Genetics (84 citations) and Oncology (79 citations). Sara Ota has collaborated with scholars based in United States, Japan and Vietnam. Frequent co-authors include Peter J. Hurlin, Zi-Qiang Zhou, Hanqian L. Carlson, Zi-Qiang Zhou, Youngsup Song, Yanwen Chen, Anthony Wynshaw‐Boris, Haruhiko Akiyama, Paul S. Knoepfler and Jason M. Link. Their work appears in journals such as Human Molecular Genetics, The Journal of Cell Biology, Cell Cycle, Oncotarget and 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.

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