Jason Ellul

3.0k citations
15 papers · 829 · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 2
    • DNA Repair Mechanisms 2
    • Cancer Genomics and Diagnostics 6

Jason Ellul

15 papers receiving 821 citations

Peers

Jason Ellul
Comparison fields: 5 of 86
  • Cancer Research 301
  • Oncology 225
  • Pathology and Forensic Medicine 139
  • Molecular Biology 476
  • Genetics 186
Replace Sally M. Hunter with:
Sally M. Hunter Australia
Hendrik F. van Essen Netherlands
Kurt D’Andrea United States
Shawn Yost United States
Anne Reiman United Kingdom
Peiyong Guan Singapore
Patricia Legoix France
Anthony Laugé France
Keisuke Kurose Japan
Arisa Ueki Japan
Jason Ellul relative to Sally M. Hunter Australia Sally M. Hunter's profile →
Citations per field
00.5×1.5×
Sally M. Hunter · 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

15 of 15 papers shown
#Work
1 2014192
2 2012147
3 201076
4 201467
5 201364
6 201445
7 201143
8 201341
9 201540
10 201328
11 201528
12 201919
13 201719
14 201418
15 20172

About Jason Ellul

Jason Ellul is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Oncology, having authored 15 papers that have together received 829 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Genomics and Rare Diseases (3 papers), Genetic factors in colorectal cancer (2 papers), RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (301 citations), Oncology (225 citations), Pathology and Forensic Medicine (139 citations), Molecular Biology (476 citations) and Genetics (186 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, Stephen B. Fox, Andrew Fellowes, Elaine Sanij, Ravikiran Vedururu, Ross D. Hannan, Stephen Q. Wong and Alexander Dobrovic. Their work appears in journals such as PLoS ONE, PLoS Genetics, Clinical Cancer Research, Scientific Reports and British Journal of Cancer.

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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