E. Danielle Dean
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Surgery top 10%
- Pancreatic function and diabetes
Papers in
- Surgery 15
- Pancreatic function and diabetes 15
-
- Diabetes Treatment and Management 10
- Diabetes Management and Research 2
- Co-authors
- Gary W. Miller (4 shared papers)Kurt D. Pennell (3 shared papers)W. Michael Caudle (2 shared papers)Jason R. Richardson (2 shared papers)Alvin C. Powers (9 shared papers)Minzheng Wang (1 shared paper)Chunhua Dai (6 shared papers)Daniel J. Drucker (1 shared paper)
- Journals
- Diabetes (3 papers)Nature Communications (2 papers)The FASEB Journal (2 papers)Journal of Endocrinology (2 papers)Endocrinology (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
E. Danielle Dean
19 papers receiving 682 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 237
- Surgery 315
- Transplantation 17
- Neurology 74
- Aging 9
Countries citing papers authored by E. Danielle Dean
This map shows the geographic impact of E. Danielle Dean'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 E. Danielle Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Danielle Dean more than expected).
Fields of papers citing papers by E. Danielle Dean
This network shows the impact of papers produced by E. Danielle Dean. 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 E. Danielle Dean. The network helps show where E. Danielle Dean may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Danielle Dean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 156 | |
| 2 | 2006 | 150 | |
| 3 | 2019 | 65 | |
| 4 | 2023 | 61 | |
| 5 | 2017 | 47 | |
| 6 | 2008 | 45 | |
| 7 | 2020 | 44 | |
| 8 | 2015 | 37 | |
| 9 | 2023 | 20 | |
| 10 | 2024 | 18 | |
| 11 | 2012 | 13 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2019 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2008 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About E. Danielle Dean
E. Danielle Dean is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 21 papers that have together received 692 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Diabetes Management and Research (2 papers), Diabetes and associated disorders (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (237 citations), Surgery (315 citations), Transplantation (17 citations), Neurology (74 citations) and Aging (9 citations). E. Danielle Dean has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Gary W. Miller, Kurt D. Pennell, W. Michael Caudle, Jason R. Richardson, Alvin C. Powers, Minzheng Wang, Chunhua Dai, Daniel J. Drucker, Christine Longuet and Patricia Vuguin. Their work appears in journals such as Diabetes, Nature Communications, The FASEB Journal, Journal of Endocrinology and Endocrinology.
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.