Katrina L. Ellis

1.7k citations
37 papers · 839 indexed · h-index 17

Katrina L. Ellis

36 papers receiving 829 citations

Peers

Katrina L. Ellis
Comparison fields: 5 of 93
  • Cancer Research 225
  • Cardiology and Cardiovascular Medicine 326
  • Endocrinology, Diabetes and Metabolism 170
  • Surgery 415
  • Pharmacology 56
Replace David Karásek with:
David Karásek Czechia
Irina Movsesyan United States
Sanae Watanabe Japan
Nicholas Ossei‐Gerning United Kingdom
А. Н. Мешков Russia
Mathew Vithayathil United Kingdom
Yijie Jia China
Cevdet Duran Türkiye
Derek Connolly United Kingdom
Qianyun Guo China
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Citations per year

Countries citing papers authored by Katrina L. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Katrina L. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrina L. Ellis. 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 Katrina L. Ellis. The network helps show where Katrina L. Ellis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202312
2 20223
3 202213
4 202118
5 202011
6 201984
7 201825
8 201829
9 201810
10 201753
11 201624
12 201640
13 201510
14 201442
15 20145
16 2013140
17 201218
18 20099
19 200418
20
Expression of an inverted repeat of a target gene leads to specific disappearance of the corresponding mRNA and encoded protein.
19991

About Katrina L. Ellis

Katrina L. Ellis is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 37 papers that have together received 839 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Cardiovascular Function and Risk Factors (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Heart Failure Treatment and Management (4 papers), Diabetes Treatment and Management (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Cancer Research (225 citations), Cardiology and Cardiovascular Medicine (326 citations) and Endocrinology, Diabetes and Metabolism (170 citations). Katrina L. Ellis has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Gerald F. Watts, Chris Frampton, Vicky A. Cameron, Mark Richards, Richard W. Troughton, A DREISBACH, Leigh J. Ellmers, Jing Pang, John R. Burnett and Timothy G. Yandle. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

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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