Susan Ellul

532 citations
18 papers · 321 · h-index 10

Impact in

Papers in

Susan Ellul

16 papers receiving 315 citations

Peers

Susan Ellul
Comparison fields: 5 of 80
  • Biological Psychiatry 29
  • Molecular Biology 144
  • Physiology 49
  • Gastroenterology 8
  • Computational Mathematics 1
Replace John R. Sheedy with:
John R. Sheedy Australia
Maosheng Cao China
Petra Klusoňová Czechia
Kweku Bedu-Addo Ghana
Jody Rusch South Africa
Victoria Ronan United States
Taylor Rice United States
Brigitte Herzog Switzerland
Arif Ul Hasan Japan
Jessica Conway United Kingdom
Susan Ellul relative to John R. Sheedy Australia John R. Sheedy's profile →
Citations per field
00.5×3.0×
John R. Sheedy · 1×
Citations per year

Countries citing papers authored by Susan Ellul

Since Specialization
Citations

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

Fields of papers citing papers by Susan Ellul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202080
2 202250
3 201948
4 200129
5 202124
6 201923
7 201918
8 202015
9 202010
10 20209
11 20204
12 20184
13 20193
14 20202
15 20251
16 20251
17 20250
18 20200

About Susan Ellul

Susan Ellul is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Nature and Landscape Conservation and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 321 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Nutritional Studies and Diet (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Fatty Acid Research and Health (1 paper), Advanced Causal Inference Techniques (1 paper), demographic modeling and climate adaptation (1 paper), Substance Abuse Treatment and Outcomes (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Biological Psychiatry (29 citations), Molecular Biology (144 citations), Physiology (49 citations), Gastroenterology (8 citations) and Computational Mathematics (1 citation). Susan Ellul has collaborated with scholars based in Australia, Finland and New Zealand. Frequent co-authors include Kim‐Anh Lê Cao, Richard Saffery, David Burgner, John B. Carlin, Thibault Renoir, Komal Kanojia, Vinod K. Narayana, Shanshan Li, Markus Juonala and Anthony J. Hannan. Their work appears in journals such as Pediatric Research, Australian & New Zealand Journal of Psychiatry, Metabolomics, Journal of Hypertension and Statistics in Medicine.

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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