E. Danielle Dean

1.6k total citations
21 papers, 705 citations indexed

About

E. Danielle Dean is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, E. Danielle Dean has authored 21 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Molecular Biology. Recurrent topics in E. Danielle Dean's work include Pancreatic function and diabetes (14 papers), Diabetes Treatment and Management (10 papers) and Metabolism, Diabetes, and Cancer (5 papers). E. Danielle Dean is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes Treatment and Management (10 papers) and Metabolism, Diabetes, and Cancer (5 papers). E. Danielle Dean collaborates with scholars based in United States, Canada and China. E. Danielle Dean's co-authors include Kurt D. Pennell, Gary W. Miller, Jason R. Richardson, W. Michael Caudle, Alvin C. Powers, Minzheng Wang, Chunhua Dai, Maureen Charron, Safina Ali and Daniel J. Drucker and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

E. Danielle Dean

19 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Danielle Dean United States 12 335 276 219 101 97 21 705
Maria Lúcia Bonfleur Brazil 20 276 0.8× 229 0.8× 180 0.8× 58 0.6× 407 4.2× 67 1.1k
Sandra Lucinei Balbo Brazil 16 208 0.6× 162 0.6× 108 0.5× 50 0.5× 292 3.0× 55 786
Janny P. Schröder-van der Elst Netherlands 18 127 0.4× 432 1.6× 248 1.1× 89 0.9× 182 1.9× 31 898
Dorthe Cartier France 18 357 1.1× 360 1.3× 224 1.0× 41 0.4× 44 0.5× 24 844
Frank Stümpel Germany 17 205 0.6× 187 0.7× 604 2.8× 107 1.1× 168 1.7× 29 1.0k
Bartholomew A. Pederson United States 14 140 0.4× 71 0.3× 388 1.8× 176 1.7× 236 2.4× 23 799
Ouahiba Laribi United States 9 87 0.3× 135 0.5× 277 1.3× 327 3.2× 51 0.5× 14 1.1k
James E. Bowe United Kingdom 17 336 1.0× 315 1.1× 322 1.5× 132 1.3× 184 1.9× 36 1.1k
G. C. Gerritsen United States 19 391 1.2× 324 1.2× 255 1.2× 164 1.6× 338 3.5× 63 992
Federica Lolli Italy 7 38 0.1× 109 0.4× 183 0.8× 84 0.8× 175 1.8× 7 812

Countries citing papers authored by E. Danielle Dean

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of E. Danielle Dean

This figure shows the co-authorship network connecting the top 25 collaborators of E. Danielle Dean. A scholar is included among the top collaborators of E. Danielle Dean based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Danielle Dean. E. Danielle Dean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shrestha, Shristi, Matthew A. Cottam, Guy Perkins, et al.. (2024). Calorie restriction increases insulin sensitivity to promote beta cell homeostasis and longevity in mice. Nature Communications. 15(1). 9063–9063. 13 indexed citations
2.
Wang, Chuan, E. Danielle Dean, Amanda C. Doran, et al.. (2024). The consumption of animal products is associated with plasma levels of alpha-aminoadipic acid (2-AAA). Nutrition Metabolism and Cardiovascular Diseases. 34(7). 1712–1720.
3.
Jia, Jianxin, E. Danielle Dean, Chunhua Dai, et al.. (2024). ErbB3 is required for hyperaminoacidemia-induced pancreatic α cell hyperplasia. Journal of Biological Chemistry. 300(8). 107499–107499. 3 indexed citations
4.
Dai, Chunhua, Yue Zhang, Shristi Shrestha, et al.. (2024). Hyperaminoacidemia from interrupted glucagon signaling increases pancreatic acinar cell proliferation and size via mTORC1 and YAP pathways. iScience. 27(12). 111447–111447. 1 indexed citations
5.
Gong, Yulong, Dingdong Zhang, Yue Zhang, et al.. (2023). Hyperaminoacidemia induces pancreatic α cell proliferation via synergism between the mTORC1 and CaSR-Gq signaling pathways. Nature Communications. 14(1). 235–235. 19 indexed citations
6.
Albrechtsen, Nicolai J. Wewer, Jens J. Holst, Alan D. Cherrington, et al.. (2023). 100 years of glucagon and 100 more. Diabetologia. 66(8). 1378–1394. 56 indexed citations
7.
Cantley, James, et al.. (2023). Metabolic regulation of glucagon secretion. Journal of Endocrinology. 259(1). 8 indexed citations
8.
Attie, Alan, et al.. (2023). OR12-03 The Pancreatic Islet Alpha Cell Arginine Transporter SLC7A2 Regulates Arginine-induced Glucagon Secretion and Glycemia. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
9.
Dai, Chunhua, John T. Walker, Alena Shostak, et al.. (2020). Tacrolimus- and sirolimus-induced human β cell dysfunction is reversible and preventable. JCI Insight. 5(1). 43 indexed citations
10.
Dai, Chunhua, John T. Walker, Alena Shostak, et al.. (2020). Dapagliflozin Does Not Directly Affect Human α or β Cells. Endocrinology. 161(8). 11 indexed citations
11.
Spears, Erick, et al.. (2019). 198-OR: Role for the Cationic Amino Acid Transporter Slc7a2 in Alpha-Cell Proliferation and Islet Hormone Secretion. Diabetes. 68(Supplement_1). 5 indexed citations
12.
Bozadjieva-Kramer, Nadejda, Manuel Blandino-Rosano, Jennifer Chase, et al.. (2017). Loss of mTORC1 signaling alters pancreatic α cell mass and impairs glucagon secretion. Journal of Clinical Investigation. 127(12). 4379–4393. 47 indexed citations
13.
Li, Mingyu, E. Danielle Dean, Liyuan Zhao, et al.. (2015). Glucagon receptor inactivation leads to α-cell hyperplasia in zebrafish. Journal of Endocrinology. 227(2). 93–103. 37 indexed citations
14.
Dean, E. Danielle, Natalie L. Cápiro, Mahlon R. DeLong, et al.. (2012). 25-Hydroxyvitamin D Depletion Does Not Exacerbate MPTP-Induced Dopamine Neuron Damage in Mice. PLoS ONE. 7(7). e39227–e39227. 12 indexed citations
15.
Longuet, Christine, E. Danielle Dean, Chunhua Dai, et al.. (2012). Liver-Specific Disruption of the Murine Glucagon Receptor Produces α-Cell Hyperplasia. Diabetes. 62(4). 1196–1205. 154 indexed citations
16.
17.
Dean, E. Danielle, et al.. (2008). Identification of a novel interaction between α‐synuclein and VMAT2. The FASEB Journal. 22(S1). 3 indexed citations
18.
19.
Richardson, Jason R., W. Michael Caudle, Minzheng Wang, et al.. (2006). Developmental exposure to the pesticide dieldrin alters the dopamine system and increases neurotoxicity in an animal model of Parkinson's disease. The FASEB Journal. 20(10). 1695–1697. 150 indexed citations
20.
Dean, E. Danielle. (2002). Induction of the cytochrome P450 gene, Cyp6a8, of Drosophila melanogaster by caffeine.

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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