Dexter L. Lee

959 total citations
23 papers, 737 citations indexed

About

Dexter L. Lee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Dexter L. Lee has authored 23 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Physiology. Recurrent topics in Dexter L. Lee's work include Stress Responses and Cortisol (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Dexter L. Lee is often cited by papers focused on Stress Responses and Cortisol (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Dexter L. Lee collaborates with scholars based in United States, Czechia and Brazil. Dexter L. Lee's co-authors include Michael W. Brands, R. Clinton Webb, Jennifer S. Pollock, Liming Jin, Cassandra Fleming, Marlina Manhiani, John D. Imig, Hicham Labazi, Juan C. Troncoso and R. Clinton Webb and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Hypertension.

In The Last Decade

Dexter L. Lee

23 papers receiving 723 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dexter L. Lee 228 208 196 158 105 23 737
Ali A. Khraibi 218 1.0× 255 1.2× 264 1.3× 133 0.8× 99 0.9× 51 859
Karim Benkirane 364 1.6× 130 0.6× 190 1.0× 134 0.8× 96 0.9× 10 683
Santiago Cuevas 405 1.8× 134 0.6× 87 0.4× 112 0.7× 97 0.9× 40 819
Tomoyuki Honjo 218 1.0× 252 1.2× 172 0.9× 129 0.8× 70 0.7× 31 983
Joshua S. Speed 234 1.0× 334 1.6× 377 1.9× 210 1.3× 193 1.8× 58 1.1k
Caroline Daneault 315 1.4× 118 0.6× 242 1.2× 65 0.4× 175 1.7× 36 812
Tinatin Chabrashvili 364 1.6× 299 1.4× 393 2.0× 120 0.8× 83 0.8× 12 1.0k
N. Sakamoto 252 1.1× 138 0.7× 273 1.4× 229 1.4× 79 0.8× 60 1.2k
Sina Kavalakatt 247 1.1× 119 0.6× 253 1.3× 148 0.9× 29 0.3× 27 763
Carlos Díez-Freire 249 1.1× 572 2.8× 97 0.5× 291 1.8× 75 0.7× 9 999

Countries citing papers authored by Dexter L. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dexter L. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dexter L. Lee. 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 Dexter L. Lee. The network helps show where Dexter L. Lee may publish in the future.

Co-authorship network of co-authors of Dexter L. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dexter L. Lee. A scholar is included among the top collaborators of Dexter L. Lee 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 Dexter L. Lee. Dexter L. Lee 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.
Duan, Rong, et al.. (2024). 544 Interleukin-6 protects renal dysfunction in mouse models of hypertension and salt-sensitive hypertension. Journal of Clinical and Translational Science. 8(s1). 162–162. 1 indexed citations
2.
Masenga, Sepiso K., et al.. (2024). How PPAR-alpha mediated inflammation may affect the pathophysiology of chronic kidney disease. SHILAP Revista de lepidopterología. 8. 100133–100133. 3 indexed citations
3.
Robinson, Austin T., et al.. (2023). Supporting and promoting Black physiologists: how can the APS help?. American Journal of Physiology-Heart and Circulatory Physiology. 324(6). H782–H785. 3 indexed citations
4.
Shuler, Haysetta, Elsie C. Spencer, Jamaine Davis, et al.. (2022). Learning from HBCUs: How to produce Black professionals in STEMM. Cell. 185(16). 2841–2845. 12 indexed citations
5.
Bell, Kimberly, et al.. (2022). Educational initiative in an NCATS TL1 training program to address the impact of systemic racism on human health, biomedical research, and the translational scientist. Journal of Clinical and Translational Science. 6(1). e145–e145. 1 indexed citations
7.
Chahroudi, Ann, et al.. (2021). SARS-CoV-2 Infection and Racial Disparities in Children: Protective Mechanisms and Severe Complications Related to MIS-C. Journal of Racial and Ethnic Health Disparities. 9(4). 1536–1542. 11 indexed citations
8.
Zhan, Xiping, et al.. (2020). Chloroquine to fight COVID-19: A consideration of mechanisms and adverse effects?. Heliyon. 6(9). e04900–e04900. 11 indexed citations
9.
Ji, Hong, Crystal A. West, Xie Wu, et al.. (2019). The Angiotensin Type 1 Receptor Antagonist Losartan Prevents Ovariectomy-Induced Cognitive Dysfunction and Anxiety-Like Behavior in Long Evans Rats. Cellular and Molecular Neurobiology. 40(3). 407–420. 20 indexed citations
10.
LaClair, Katherine D., Kebreten F. Manaye, Dexter L. Lee, et al.. (2013). Treatment with bexarotene, a compound that increases apolipoprotein-E, provides no cognitive benefit in mutant APP/PS1 mice. Molecular Neurodegeneration. 8(1). 18–18. 71 indexed citations
11.
Jacobs, Aryana, et al.. (2013). Inflammatory Biomarkers and Cardiovascular Complications in Sickle Cell Disease: A Review. Current Cardiovascular Risk Reports. 7(5). 368–377. 4 indexed citations
12.
Lee, Dexter L., et al.. (2012). Urine from Sexually Mature Intact Male Mice Contributes to Increased Cardiovascular Responses during Free-Roaming and Restrained Conditions. SHILAP Revista de lepidopterología. 2012. 1–7. 2 indexed citations
14.
Rojas, Modesto, Wenbo Zhang, Dexter L. Lee, et al.. (2010). Role of IL-6 in Angiotensin II–Induced Retinal Vascular Inflammation. Investigative Ophthalmology & Visual Science. 51(3). 1709–1709. 68 indexed citations
15.
Lee, Dexter L., Hicham Labazi, Cassandra Fleming, et al.. (2005). Angiotensin II hypertension is attenuated in interleukin-6 knockout mice. American Journal of Physiology-Heart and Circulatory Physiology. 290(3). H935–H940. 207 indexed citations
16.
Lee, Dexter L., R. Clinton Webb, & Michael W. Brands. (2004). Sympathetic and angiotensin-dependent hypertension during cage-switch stress in mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 287(6). R1394–R1398. 46 indexed citations
17.
Lee, Dexter L., Jennifer M. Sasser, Janet L. Hobbs, et al.. (2004). Posttranslational regulation of NO synthase activity in the renal medulla of diabetic rats. American Journal of Physiology-Renal Physiology. 288(1). F82–F90. 24 indexed citations
18.
Lee, Dexter L., Rômulo Leite, Cassandra Fleming, et al.. (2004). Hypertensive Response to Acute Stress Is Attenuated in Interleukin-6 Knockout Mice. Hypertension. 44(3). 259–263. 57 indexed citations
19.
Lee, Dexter L., Brian R. Wamhoff, Laxmansa C. Katwa, et al.. (2003). Increased Endothelin-Induced Ca2+ Signaling, Tyrosine Phosphorylation, and Coronary Artery Disease in Diabetic Dyslipidemic Swine Are Prevented by Atorvastatin. Journal of Pharmacology and Experimental Therapeutics. 306(1). 132–140. 28 indexed citations
20.
Lee, Dexter L. & Michael Sturek. (2002). Endothelin-Induced Myoplasmic Ca2+ Responses and Tyrosine Phosphorylation in Coronary Smooth Muscle. Journal of Cardiovascular Pharmacology. 40(1). 18–27. 3 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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