Jason Ellul

3.0k citations
17 papers · 903 · h-index 15

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • DNA Repair Mechanisms 2
    • Developmental Biology and Gene Regulation 2
    • Protein Degradation and Inhibitors 2
    • Histone Deacetylase Inhibitors Research 2
    • Cancer Genomics and Diagnostics 5

Jason Ellul

17 papers receiving 893 citations

Peers

Jason Ellul
Comparison fields: 5 of 99
  • Cancer Research 261
  • Oncology 202
  • Pathology and Forensic Medicine 111
  • Molecular Biology 455
  • Genetics 169
Replace Peiyong Guan with:
Peiyong Guan Singapore
Patricia Legoix France
Anne Reiman United Kingdom
Hendrik F. van Essen Netherlands
Sara Akhavanfard United States
Sally M. Hunter Australia
Jun Hou China
Shawn Yost United States
Wenfu Lu United States
Christian Bowman-Colin United States
Jason Ellul relative to Peiyong Guan Singapore Peiyong Guan's profile →
Citations per field
00.5×1.5×1.8×
Peiyong Guan · 1×
Citations per year

Countries citing papers authored by Jason Ellul

Since Specialization
Citations

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

Fields of papers citing papers by Jason Ellul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014198
2 2012155
3 201083
4 201468
5 201364
6 201447
7 201143
8 201342
9 201541
10 201432
11 201329
12 201529
13 201422
14 201721
15 201919
16 20178
17 20172

About Jason Ellul

Jason Ellul is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Cell Biology, having authored 17 papers that have together received 903 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genomics and Chromatin Dynamics (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), DNA Repair Mechanisms (2 papers), Developmental Biology and Gene Regulation (2 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (261 citations), Oncology (202 citations), Pathology and Forensic Medicine (111 citations), Molecular Biology (455 citations) and Genetics (169 citations). Jason Ellul has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jason Li, Grant A. McArthur, David M. Thomas, Andrew Fellowes, Stephen B. Fox, Maria Doyle, Elaine Sanij, Ross D. Hannan, Stephen Q. Wong and Alexander Dobrovic. Their work appears in journals such as PLoS ONE, PLoS Genetics, Genome Medicine, Clinical Cancer Research and Cell Reports.

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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