Joanna Dembowy

1.5k citations
6 papers · 1.2k indexed · 2 hit papers · h-index 5
    • Hippo pathway signaling and YAP/TAZ 1
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Hedgehog Signaling Pathway Studies 1
    • Biomedical Text Mining and Ontologies 1
    • Ubiquitin and proteasome pathways 1
    • Virus-based gene therapy research 1
    • Chronic Lymphocytic Leukemia Research 1

Joanna Dembowy

6 papers receiving 1.2k citations

Hit Papers

TAZ controls Smad nucleocytoplasmic shuttling and regulat...5482005202620122019100200300400500

Peers

Joanna Dembowy
Comparison fields: 5 of 96
  • Cell Biology 548
  • Molecular Biology 840
  • Neurology 57
  • Oncology 136
  • Cancer Research 73
Replace Ya‐sheng Gao with:
Ya‐sheng Gao United States
Kousuke Kasahara Japan
Amber L. Couzens Canada
Natalia Volinsky Ireland
Rohit Bose United States
Odile Valiron France
Haiming Huang China
Viviane Poupon Canada
Hidenori Nonaka Japan
Colin D. White United States
Joanna Dembowy relative to Ya‐sheng Gao United States Ya‐sheng Gao's profile →
Citations per field
00.5×1.5×2.5×
Ya‐sheng Gao · 1×
Citations per year

Countries citing papers authored by Joanna Dembowy

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Dembowy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Joanna Dembowy, 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 Joanna Dembowy Line = papers co-authored together Joanna Dembowy links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20234
2 201422
3 201024
4
TAZ controls Smad nucleocytoplasmic shuttling and regulates human embryonic stem-cell self-renewalbreakdown →
2008548
5 200720
6
High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cellsbreakdown →
2005553

About Joanna Dembowy

Joanna Dembowy is a scholar working on Genetics, Molecular Biology and Rheumatology, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (1 paper), Pluripotent Stem Cells Research (1 paper), CRISPR and Genetic Engineering (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (548 citations), Molecular Biology (840 citations) and Neurology (57 citations). Joanna Dembowy has collaborated with scholars based in Canada, Singapore and United States. Frequent co-authors include Jeffrey L. Wrana, Raheem Peerani, Payman Samavarchi‐Tehrani, Peter W. Zandstra, Michael B. Yaffe, Rui Sakuma, Balaji M. Rao, Xaralabos Varelas, Kevin R. Brown and Yongmei Liu. Their work appears in journals such as Science, PLoS ONE and Nature Cell Biology.

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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