Megan E. Capozzi

2.6k total citations · 1 hit paper
42 papers, 1.8k citations indexed

About

Megan E. Capozzi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Megan E. Capozzi has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Surgery. Recurrent topics in Megan E. Capozzi's work include Diabetes Treatment and Management (17 papers), Pancreatic function and diabetes (16 papers) and Retinal Diseases and Treatments (14 papers). Megan E. Capozzi is often cited by papers focused on Diabetes Treatment and Management (17 papers), Pancreatic function and diabetes (16 papers) and Retinal Diseases and Treatments (14 papers). Megan E. Capozzi collaborates with scholars based in United States, Canada and United Kingdom. Megan E. Capozzi's co-authors include Jonathan E. Campbell, David A. D’Alessio, John S. Penn, Brian Finan, Gary W. McCollum, Berit Svendsen, Kyle W. Sloop, Matthew J. Merrins, Jonathan D. Douros and Matthias H. Tschöp and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Endocrine Reviews.

In The Last Decade

Megan E. Capozzi

42 papers receiving 1.8k citations

Hit Papers

Tirzepatide is an imbalanced and biased dual GIP and GLP-... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan E. Capozzi United States 24 1.0k 777 771 304 219 42 1.8k
Caroline Bonner France 22 752 0.7× 879 1.1× 781 1.0× 261 0.9× 249 1.1× 47 1.8k
Tyson R. Kinnick United States 15 208 0.2× 886 1.1× 120 0.2× 309 1.0× 117 0.5× 18 1.4k
Over Cabrera United States 19 1.6k 1.6× 1.0k 1.3× 2.1k 2.8× 306 1.0× 1.1k 4.8× 28 3.0k
Cuilan Nian Canada 23 1.1k 1.1× 748 1.0× 869 1.1× 253 0.8× 276 1.3× 34 1.9k
Judith Molina United States 15 505 0.5× 402 0.5× 758 1.0× 130 0.4× 454 2.1× 26 1.3k
Safia Costes France 21 456 0.5× 732 0.9× 884 1.1× 374 1.2× 286 1.3× 32 1.7k
Shao-Nian Yang Sweden 17 255 0.3× 793 1.0× 733 1.0× 233 0.8× 252 1.2× 19 1.4k
Kuniko Horie Japan 20 274 0.3× 743 1.0× 88 0.1× 144 0.5× 115 0.5× 45 1.4k
Ana I. Arroba Spain 20 168 0.2× 576 0.7× 95 0.1× 151 0.5× 54 0.2× 51 1.4k
Michel Pierre France 26 315 0.3× 942 1.2× 151 0.2× 239 0.8× 154 0.7× 47 1.9k

Countries citing papers authored by Megan E. Capozzi

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Capozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan E. Capozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Megan E. Capozzi. A scholar is included among the top collaborators of Megan E. Capozzi 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 Megan E. Capozzi. Megan E. Capozzi 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
2.
Nguyen, My-Anh, Megan E. Capozzi, Branka Vulesevic, et al.. (2023). Pancreas-derived DPP4 is not essential for glucose homeostasis under metabolic stress. iScience. 26(5). 106748–106748. 2 indexed citations
3.
Padovani-Claudio, Dolly Ann, Carla J. Ramos, Megan E. Capozzi, & John S. Penn. (2023). Elucidating glial responses to products of diabetes-associated systemic dyshomeostasis. Progress in Retinal and Eye Research. 94. 101151–101151. 13 indexed citations
4.
Capozzi, Megan E., David A. D’Alessio, & Jonathan E. Campbell. (2022). The past, present, and future physiology and pharmacology of glucagon. Cell Metabolism. 34(11). 1654–1674. 55 indexed citations
5.
Kim, Minjae, et al.. (2021). Nuclear factor of activated T-cells (NFAT) regulation of IL-1β-induced retinal vascular inflammation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(12). 166238–166238. 26 indexed citations
6.
Capozzi, Megan E., et al.. (2021). Author Correction: Cytochrome P450-epoxygenated fatty acids inhibit Müller glial inflammation. Scientific Reports. 11(1). 18816–18816. 2 indexed citations
7.
Capozzi, Megan E., et al.. (2021). Cytochrome P450-epoxygenated fatty acids inhibit Müller glial inflammation. Scientific Reports. 11(1). 9677–9677. 13 indexed citations
8.
Gray, Sarah M., Yurong Xin, Liz Ross, et al.. (2020). Discordance between GLP-1R gene and protein expression in mouse pancreatic islet cells. Journal of Biological Chemistry. 295(33). 11529–11541. 29 indexed citations
9.
Willard, Francis S., Jonathan D. Douros, M Gabe, et al.. (2020). Tirzepatide is an imbalanced and biased dual GIP and GLP-1 receptor agonist. JCI Insight. 5(17). 314 indexed citations breakdown →
10.
Capozzi, Megan E., et al.. (2019). Glucagon lowers glycemia when β cells are active. JCI Insight. 4(16). 120 indexed citations
11.
Capozzi, Megan E., Berit Svendsen, Sophie L. Lewandowski, et al.. (2019). β Cell tone is defined by proglucagon peptides through cAMP signaling. JCI Insight. 4(5). 178 indexed citations
12.
Capozzi, Megan E., et al.. (2018). Palmitic Acid Induces Müller Cell Inflammation that is Potentiated by Co-treatment with Glucose. Scientific Reports. 8(1). 5459–5459. 23 indexed citations
13.
Capozzi, Megan E. & John S. Penn. (2016). Epoxydocosapentaenoic acid (EDP) and epoxyeicosatrienoic acid (EET) affect TNFα production and leukocyte adhesion in diabetic retinopathy. Investigative Ophthalmology & Visual Science. 57(12). 1 indexed citations
14.
Capozzi, Megan E., et al.. (2016). Linoleic Acid is a Diabetes-relevant Stimulator of Retinal Inflammation in Human Retinal Muller Cells and Microvascular Endothelial Cells. Journal of Diabetes & Metabolism. 7(11). 27 indexed citations
15.
Capozzi, Megan E., Sandra S. Hammer, Gary W. McCollum, & John S. Penn. (2016). Epoxygenated Fatty Acids Inhibit Retinal Vascular Inflammation. Scientific Reports. 6(1). 39211–39211. 40 indexed citations
16.
Uddin, Md. Imam, Megan E. Capozzi, Gary W. McCollum, et al.. (2016). In Vivo Imaging of Retinal Hypoxia in a Model of Oxygen-Induced Retinopathy. Scientific Reports. 6(1). 31011–31011. 23 indexed citations
17.
Jackson, Chad R., et al.. (2014). Circadian Perinatal Photoperiod Has Enduring Effects on Retinal Dopamine and Visual Function. Journal of Neuroscience. 34(13). 4627–4633. 27 indexed citations
18.
McCollum, Gary W., et al.. (2014). Modulation of VEGF-Induced Retinal Vascular Permeability by Peroxisome Proliferator-Activated Receptor- / . Investigative Ophthalmology & Visual Science. 55(12). 8232–8240. 39 indexed citations
19.
Capozzi, Megan E., et al.. (2013). Molecular Imaging of Retinal Disease. Journal of Ocular Pharmacology and Therapeutics. 29(2). 275–286. 18 indexed citations
20.
Palmer, Gregory M., Zongmin Zhou, Megan E. Capozzi, et al.. (2011). A novel angiopoietin‐derived peptide displays anti‐angiogenic activity and inhibits tumour‐induced and retinal neovascularization. British Journal of Pharmacology. 165(6). 1891–1903. 12 indexed citations

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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