Clara Sidor

478 citations
7 papers · 320 · h-index 6

Impact in

  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

    • RNA Research and Splicing 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 1
    • Hippo pathway signaling and YAP/TAZ 3
    • Cellular Mechanics and Interactions 2

Clara Sidor

7 papers receiving 316 citations

Peers

Clara Sidor
Comparison fields: 5 of 46
  • Cell Biology 136
  • Aging 9
  • Molecular Biology 233
  • Plant Science 92
  • Cellular and Molecular Neuroscience 27
Replace Wenqing Wu with:
Wenqing Wu China
Sophie Zaessinger France
Carole L.C. Poon Australia
Ryszard Rzepecki Poland
Violaine Mottier-Pavie United States
George Dialynas United States
Helen J. Whalley United Kingdom
Janet Rollins United States
Margit Pál Hungary
Min‐Gyoung Shin United States
Clara Sidor relative to Wenqing Wu China Wenqing Wu's profile →
Citations per field
00.5×1.5×
Wenqing Wu · 1×
Citations per year

Countries citing papers authored by Clara Sidor

Since Specialization
Citations

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

Fields of papers citing papers by Clara Sidor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 200780
2 200970
3 201357
4 202153
5 202032
6 201926
7 20242

About Clara Sidor

Clara Sidor is a scholar working on Molecular Biology, Cell Biology, Plant Science, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), RNA Research and Splicing (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), Cellular Mechanics and Interactions (2 papers), Plant Molecular Biology Research (1 paper), Cardiomyopathy and Myosin Studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cell Biology (136 citations), Aging (9 citations), Molecular Biology (233 citations), Plant Science (92 citations) and Cellular and Molecular Neuroscience (27 citations). Clara Sidor has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Barry J. Thompson, Ruth Brain, Stéphane Ronsseray, Laure Teysset, Anne‐Laure Todeschini, Dominique Anxolabéhère, Thibaut Josse, Kenzo Ivanovitch, Charlotte Martin and Pierre Fichelson. Their work appears in journals such as Developmental Cell, eLife, The EMBO Journal, Nature Cell Biology and PLoS Genetics.

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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