Simon E. Vidal

1.0k citations
10 papers · 558 · h-index 8

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • Pluripotent Stem Cells Research 4
    • Epigenetics and DNA Methylation 3
    • Renal and related cancers 2
    • Ubiquitin and proteasome pathways 1
    • Fungal and yeast genetics research 1
    • Autophagy in Disease and Therapy 2

Simon E. Vidal

10 papers receiving 551 citations

Peers

Simon E. Vidal
Comparison fields: 5 of 69
  • Cell Biology 278
  • Aging 18
  • Molecular Biology 344
  • Biotechnology 39
  • Epidemiology 127
Replace Elizabeth I. Vink with:
Elizabeth I. Vink United States
Luke A. Perera United Kingdom
Kota Yanagitani Japan
Jennifer L. Goeckeler-Fried United States
Johannes Popow Austria
Claudia Esser Germany
Christian Rogon Germany
Naama Aviram Israel
Robert E. Edge Canada
Sarah Haßdenteufel Germany
Simon E. Vidal relative to Elizabeth I. Vink United States Elizabeth I. Vink's profile →
Citations per field
00.5×2.6×
Elizabeth I. Vink · 1×
Citations per year

Countries citing papers authored by Simon E. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Simon E. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon E. Vidal. 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 Simon E. Vidal. The network helps show where Simon E. Vidal may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010354
2 201461
3 201651
4 201927
5 201620
6 202117
7 202212
8 20208
9 20156
10 20132

About Simon E. Vidal

Simon E. Vidal is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Surgery and Pharmacology, having authored 10 papers that have together received 558 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (3 papers), Renal and related cancers (2 papers), Autophagy in Disease and Therapy (2 papers), Ubiquitin and proteasome pathways (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Cell Biology (278 citations), Aging (18 citations), Molecular Biology (344 citations), Biotechnology (39 citations) and Epidemiology (127 citations). Simon E. Vidal has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Tomás Aragón, David Pincus, Eelco van Anken, Hana El‐Samad, Peter Walter, Michael Chevalier, Matthias Stadtfeld, Aristotelis Tsirigos, Taotao Chen and Shengjiang Tu. Their work appears in journals such as Cell Reports, Stem Cell Reports, Nature Communications, Cell stem cell and PLoS neglected tropical diseases.

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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