Simon Scrace

826 citations
14 papers · 566 · h-index 11

Impact in

  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • DNA Repair Mechanisms 4
    • Ubiquitin and proteasome pathways 3
    • Epigenetics and DNA Methylation 2
    • Signaling Pathways in Disease 2
    • Cancer-related gene regulation 2
    • Cancer-related Molecular Pathways 4
    • Peptidase Inhibition and Analysis 2

Simon Scrace

13 papers receiving 548 citations

Peers

Simon Scrace
Comparison fields: 5 of 71
  • Cell Biology 202
  • Oncology 158
  • Molecular Biology 399
  • Immunology 72
  • Cancer Research 41
Replace David Terrano with:
David Terrano United States
Anna-Kathrine Pedersen Denmark
Parag P. Patwardhan United States
Fritz Lai Australia
Erica O’Bryan United States
Sirlester A. Parker United States
Matthew Ling-Hon Chu United States
Suzanne I. Specht United States
Ana Ruiz-Sáenz United States
Hannah Johnson United States
Simon Scrace relative to David Terrano United States David Terrano's profile →
Citations per field
00.5×2×3.3×
David Terrano · 1×
Citations per year

Countries citing papers authored by Simon Scrace

Since Specialization
Citations

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

Fields of papers citing papers by Simon Scrace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016117
2 200994
3 200975
4 201074
5 201564
6 201537
7 201334
8 201622
9 200816
10 201214
11 202114
12 20173
13 20151
14 20091

About Simon Scrace

Simon Scrace is a scholar working on Molecular Biology, Oncology, Cell Biology, Biophysics and Organic Chemistry, having authored 14 papers that have together received 566 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Microtubule and mitosis dynamics (2 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cell Biology (202 citations), Oncology (158 citations), Molecular Biology (399 citations), Immunology (72 citations) and Cancer Research (41 citations). Simon Scrace has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Eric O’Neill, Karen S. Yee, Garth Hamilton, Daniela Paňková, Anna M. Grawenda, Nikola Vlahov, Aswin Abraham, Dafni‐Eleftheria Pefani, Lisa Baker and Jonathan D. Moore. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Current Biology, Oncotarget, Cancer Research and Molecular Cancer Therapeutics.

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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