Susan Cornell

23 papers receiving 424 citations

Peers

Susan Cornell
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 212
  • Geriatrics and Gerontology 19
  • Pharmacology 55
  • Orthopedics and Sports Medicine 22
  • General Health Professions 60
Replace Kyriakos Kazakos with:
Kyriakos Kazakos Greece
M. Dominique Ashen United States
Chenchen Li China
Annette Bak Netherlands
Benli Su China
Hyun Shik Son South Korea
Yih‐Jing Tang Taiwan
Paula D. Giesler United States
María Tinajero Canada
Koichiro Ina Japan
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Citations per field
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Citations per year

Countries citing papers authored by Susan Cornell

Since Specialization
Citations

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

Fields of papers citing papers by Susan Cornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020100
2
1-Hydroxy-3-(methylpentylamino)-propylidene-1,1-bisphosphonic acid as a potent inhibitor of squalene synthase.
199650
3 201239
4 201536
5 201233
6 201332
7 201729
8 199328
9 201523
10 200417
11 201214
12 20049
13 20116
14 20146
15 20105
16 20144
17 20134
18 20222
19 20062
20 20241

About Susan Cornell

Susan Cornell is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Pharmacology and General Health Professions, having authored 24 papers that have together received 443 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Diabetes Management and Research (12 papers), Metabolism, Diabetes, and Cancer (4 papers), Pharmacology and Obesity Treatment (4 papers), Pancreatic function and diabetes (3 papers), Diet and metabolism studies (3 papers), Computational Drug Discovery Methods (2 papers) and Interprofessional Education and Collaboration (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (212 citations), Geriatrics and Gerontology (19 citations), Pharmacology (55 citations), Orthopedics and Sports Medicine (22 citations) and General Health Professions (60 citations). Susan Cornell has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Mark H. Perrone, Dilip Amin, Glenda E. Bilder, Curtis Triplitt, Lon J. Van Winkle, Sophie La Salle, Susan M. Viselli, Nalini Chandar, Sean M. Lynch and Jacalyn M. Green. Their work appears in journals such as Journal of the American Pharmacists Association, American Journal of Pharmaceutical Education, Pharmacology, Therapeutics and Clinical Risk Management and Health Policy.

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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