Cara E. Ellis

900 citations
26 papers · 482 · 1 hit paper · h-index 13

Impact in

Papers in

Cara E. Ellis

24 papers receiving 478 citations

Cara E. Ellis's Hit Papers

Web-based multi-omics integration using the Analyst software suite 2024 · 94 citations
940+1Years since publication255075

Peers

Cara E. Ellis
Comparison fields: 5 of 80
  • Surgery 298
  • Endocrinology, Diabetes and Metabolism 103
  • Genetics 114
  • Molecular Biology 152
  • Genetics 21
Replace Veronique V. Tran with:
Veronique V. Tran United States
Joong Hyun Shim South Korea
Haitao Zhu China
Elise N. Engquist United States
Nidheesh Dadheech Canada
Maria Petropavlovskaia Canada
Marie Chintinne Belgium
Danyang Huang China
Valérie F. Duvivier-Kali United States
Abdulkadir Omer United States
Cara E. Ellis relative to Veronique V. Tran United States Veronique V. Tran's profile →
Citations per field
00.5×20×40×60×74×
Veronique V. Tran · 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 →
202494
2 201771
3 201848
4 201740
5 201628
6 201525
7 202421
8 201321
9 202220
10 201316
11 201915
12 202114
13 201113
14 202211
15 20198
16 20168
17 20237
18 20237
19 20215
20 20155

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 482 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Diabetes Management and Research (9 papers), Diabetes and associated disorders (9 papers), Tissue Engineering and Regenerative Medicine (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Surgery (298 citations), Endocrinology, Diabetes and Metabolism (103 citations), Genetics (114 citations), Molecular Biology (152 citations) and Genetics (21 citations). Cara E. Ellis has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Gregory S. Korbutt, Timothy J. Kieffer, Adam Ramzy, Patrick E. MacDonald, James D. Johnson, Guangyan Zhou, Jessica Ewald, Jianguo Xia, Yao Lü and Jelena Kolic. Their work appears in journals such as Scientific Reports, Diabetes, Canadian Journal of Diabetes, Transplantation and Nature Protocols.

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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