Michael D. Dennis

2.2k total citations
65 papers, 1.6k citations indexed

About

Michael D. Dennis is a scholar working on Molecular Biology, Ophthalmology and Cell Biology. According to data from OpenAlex, Michael D. Dennis has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 14 papers in Ophthalmology and 11 papers in Cell Biology. Recurrent topics in Michael D. Dennis's work include PI3K/AKT/mTOR signaling in cancer (17 papers), Retinal Diseases and Treatments (14 papers) and Glycosylation and Glycoproteins Research (9 papers). Michael D. Dennis is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (17 papers), Retinal Diseases and Treatments (14 papers) and Glycosylation and Glycoproteins Research (9 papers). Michael D. Dennis collaborates with scholars based in United States, Taiwan and Canada. Michael D. Dennis's co-authors include Scot R. Kimball, Leonard S. Jefferson, Karen Browning, William P. Miller, Allyson L. Toro, Alistair J. Barber, Bradley S. Gordon, Catherine S. Coleman, Maria D. Person and Arthur Berg and has published in prestigious journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and Diabetes.

In The Last Decade

Michael D. Dennis

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Dennis United States 24 1.2k 319 233 198 194 65 1.6k
Scott M. Plafker United States 22 948 0.8× 95 0.3× 128 0.5× 68 0.3× 156 0.8× 37 1.4k
Liping Han China 19 785 0.7× 310 1.0× 174 0.7× 30 0.2× 179 0.9× 47 1.3k
Yuji Nishizawa Japan 22 883 0.8× 275 0.9× 124 0.5× 36 0.2× 183 0.9× 47 1.5k
Kun‐Che Chang United States 21 586 0.5× 203 0.6× 77 0.3× 33 0.2× 219 1.1× 65 1.2k
Joris Pothof Netherlands 23 1.7k 1.5× 184 0.6× 237 1.0× 88 0.4× 39 0.2× 36 2.3k
Eloy Bejarano United States 16 514 0.4× 238 0.7× 166 0.7× 36 0.2× 88 0.5× 31 1.1k
Rossella De Cegli Italy 19 1.2k 1.0× 292 0.9× 272 1.2× 88 0.4× 24 0.1× 43 2.0k
Eva Sjøttem Norway 20 1.6k 1.3× 427 1.3× 167 0.7× 177 0.9× 32 0.2× 28 2.4k
Grace Y. Liu United States 7 1.5k 1.3× 308 1.0× 341 1.5× 82 0.4× 17 0.1× 13 2.3k
Jeremy M. Sivak Canada 20 863 0.7× 136 0.4× 131 0.6× 25 0.1× 620 3.2× 47 1.9k

Countries citing papers authored by Michael D. Dennis

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Dennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Dennis. 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 Michael D. Dennis. The network helps show where Michael D. Dennis may publish in the future.

Co-authorship network of co-authors of Michael D. Dennis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Dennis. A scholar is included among the top collaborators of Michael D. Dennis 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 Michael D. Dennis. Michael D. Dennis 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.
Toro, Allyson L., et al.. (2025). REDD1 expression in podocytes facilitates renal inflammation and pyroptosis in streptozotocin-induced diabetic nephropathy. Cell Death and Disease. 16(1). 79–79. 9 indexed citations
2.
Toro, Allyson L., et al.. (2025). REDD1-dependent GSK3β signaling in podocytes promotes canonical NF-κB activation in diabetic nephropathy. Journal of Biological Chemistry. 301(3). 108244–108244. 2 indexed citations
3.
Toro, Allyson L., et al.. (2025). Rapid proteasomal degradation of the stress response protein REDD2 is mediated by the E3 ligase HUWE1. Biochemical and Biophysical Research Communications. 777. 152270–152270.
4.
Toro, Allyson L., et al.. (2024). Deletion of the stress response protein REDD1 prevents sodium iodate-induced RPE damage and photoreceptor loss. GeroScience. 47(2). 1789–1803. 3 indexed citations
5.
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7.
Toro, Allyson L., et al.. (2023). REDD1-dependent GSK3β dephosphorylation promotes NF-κB activation and macrophage infiltration in the retina of diabetic mice. Journal of Biological Chemistry. 299(8). 104991–104991. 12 indexed citations
8.
Toro, Allyson L., et al.. (2022). Stress response protein REDD1 promotes diabetes-induced retinal inflammation by sustaining canonical NF-κB signaling. Journal of Biological Chemistry. 298(12). 102638–102638. 14 indexed citations
9.
Miller, William P., et al.. (2021). The stress response protein REDD1 as a causal factor for oxidative stress in diabetic retinopathy. Free Radical Biology and Medicine. 165. 127–136. 27 indexed citations
10.
Kimball, Scot R., et al.. (2021). Glucagon transiently stimulates mTORC1 by activation of an EPAC/Rap1 signaling axis. Cellular Signalling. 84. 110010–110010. 5 indexed citations
11.
Dennis, Michael D., et al.. (2020). The Stretch Factor of Hexagon-Delaunay Triangulations. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
12.
Toro, Allyson L., et al.. (2020). Diabetes enhances translation of Cd40 mRNA in murine retinal Müller glia via a 4E-BP1/2–dependent mechanism. Journal of Biological Chemistry. 295(31). 10831–10841. 14 indexed citations
13.
Miller, William P., et al.. (2020). The stress response protein REDD1 promotes diabetes-induced oxidative stress in the retina by Keap1-independent Nrf2 degradation. Journal of Biological Chemistry. 295(21). 7350–7361. 65 indexed citations
14.
Dai, Weiwei, et al.. (2018). Consumption of a high fat diet promotes protein O-GlcNAcylation in mouse retina via NR4A1-dependent GFAT2 expression. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(12). 3568–3576. 33 indexed citations
15.
Kimball, Scot R., et al.. (2015). Amino Acid–Induced Activation of mTORC1 in Rat Liver Is Attenuated by Short-Term Consumption of a High-Fat Diet. Journal of Nutrition. 145(11). 2496–2502. 22 indexed citations
16.
Dennis, Michael D., Scot R. Kimball, Patrice E. Fort, & Leonard S. Jefferson. (2014). Regulated in Development and DNA Damage 1 Is Necessary for Hyperglycemia-induced Vascular Endothelial Growth Factor Expression in the Retina of Diabetic Rodents. Journal of Biological Chemistry. 290(6). 3865–3874. 52 indexed citations
17.
Gordon, Bradley S., Abid A. Kazi, Catherine S. Coleman, et al.. (2013). RhoA modulates signaling through the mechanistic target of rapamycin complex 1 (mTORC1) in mammalian cells. Cellular Signalling. 26(3). 461–467. 50 indexed citations
18.
Dennis, Michael D., Jamie Baum, Scot R. Kimball, & Leonard S. Jefferson. (2011). Mechanisms Involved in the Coordinate Regulation of mTORC1 by Insulin and Amino Acids. Journal of Biological Chemistry. 286(10). 8287–8296. 82 indexed citations
19.
Dennis, Michael D., et al.. (2011). Hyperglycemia-Induced O-GlcNAcylation and Truncation of 4E-BP1 Protein in Liver of a Mouse Model of Type 1 Diabetes. Journal of Biological Chemistry. 286(39). 34286–34297. 25 indexed citations
20.

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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