Cara E. Ellis

858 citations
26 papers · 433 · 1 hit paper · h-index 13

Impact in

Papers in

Cara E. Ellis

23 papers receiving 430 citations

Cara E. Ellis's Hit Papers

Web-based multi-omics integration using the Analyst software suite 2024 · 78 citations
780+1Years since publication255075

Peers

Cara E. Ellis
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 106
  • Surgery 282
  • Genetics 123
  • Pharmacology 39
  • Molecular Biology 156
Replace Lisa Nalbach with:
Lisa Nalbach Germany
Maria Petropavlovskaia Canada
Veronique V. Tran United States
Haitao Zhu China
Nidheesh Dadheech Canada
Danyang Huang China
Marie Chintinne Belgium
G. C. Weir United States
Valérie F. Duvivier-Kali United States
Yunhui Liu China
Cara E. Ellis relative to Lisa Nalbach Germany Lisa Nalbach's profile →
Citations per field
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Lisa Nalbach · 1×
Citations per year

Countries citing papers authored by Cara E. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Cara E. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Web-based multi-omics integration using the Analyst software suite
Hit paper breakdown →
202478
2 201764
3 201847
4 201740
5 201627
6 201523
7 202420
8 201317
9 202216
10 201315
11 201914
12 202113
13 201112
14 202211
15 20198
16 20236
17 20236
18 20215
19 20155
20 20012

About Cara E. Ellis

Cara E. Ellis is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Epidemiology, having authored 26 papers that have together received 433 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (20 papers), Diabetes Management and Research (10 papers), Diabetes and associated disorders (9 papers), Tissue Engineering and Regenerative Medicine (3 papers), 3D Printing in Biomedical Research (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Regulation of Appetite and Obesity (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (106 citations), Surgery (282 citations), Genetics (123 citations), Pharmacology (39 citations) and Molecular Biology (156 citations). Cara E. Ellis has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include Gregory S. Korbutt, Timothy J. Kieffer, Adam Ramzy, Patrick E. MacDonald, James D. Johnson, Yao Lü, Jianguo Xia, Jelena Kolic, Jessica Ewald and Guangyan Zhou. Their work appears in journals such as Scientific Reports, Diabetes, Canadian Journal of Diabetes, Transplantation and Cell Reports 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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