Dylan Stavish

562 citations
9 papers · 294 · h-index 9

Impact in

Papers in

    • Pluripotent Stem Cells Research 8
    • CRISPR and Genetic Engineering 6
    • Developmental Biology and Gene Regulation 2
    • DNA Repair Mechanisms 1
    • Animal Genetics and Reproduction 2

Dylan Stavish

9 papers receiving 291 citations

Peers

Dylan Stavish
Comparison fields: 5 of 50
  • Developmental Neuroscience 15
  • Molecular Biology 243
  • Cell Biology 43
  • Biophysics 13
  • Aging 3
Replace Vincent van Batenburg with:
Vincent van Batenburg Netherlands
Dennis Schifferl Germany
Victor Gourain France
Yann Tapponnier France
Oliver J. Culley United Kingdom
Der-I Kao United States
Joshua B. Studdert Australia
Inbal Caspi United States
Nataša Josipović Germany
Jaroslav Slamecka United States
Dylan Stavish relative to Vincent van Batenburg Netherlands Vincent van Batenburg's profile →
Citations per field
00.5×1.5×1.9×
Vincent van Batenburg · 1×
Citations per year

Countries citing papers authored by Dylan Stavish

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Stavish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201872
2 201467
3 202148
4 202034
5 201823
6 202018
7 202414
8 202310
9 20228

About Dylan Stavish

Dylan Stavish is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cell Biology and Plant Science, having authored 9 papers that have together received 294 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (2 papers), 3D Printing in Biomedical Research (2 papers), Developmental Biology and Gene Regulation (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), DNA Repair Mechanisms (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Developmental Neuroscience (15 citations), Molecular Biology (243 citations), Cell Biology (43 citations), Biophysics (13 citations) and Aging (3 citations). Dylan Stavish has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Ivana Barbaric, Paul J. Gokhale, Peter W. Andrews, Daniel Coca, Veronica Biga, Christopher J. Price, Mark Jones, Thomas J.R. Frith, Adam Glen and Jason A. Halliwell. Their work appears in journals such as Stem Cell Reports, Nature Communications, eLife, Developmental Cell 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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