Dean J. Aguiar

2.7k total citations
22 papers, 1.2k citations indexed

About

Dean J. Aguiar is a scholar working on Rheumatology, Cell Biology and Physiology. According to data from OpenAlex, Dean J. Aguiar has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 5 papers in Cell Biology and 5 papers in Physiology. Recurrent topics in Dean J. Aguiar's work include Osteoarthritis Treatment and Mechanisms (8 papers), Tuberous Sclerosis Complex Research (5 papers) and Proteoglycans and glycosaminoglycans research (5 papers). Dean J. Aguiar is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Tuberous Sclerosis Complex Research (5 papers) and Proteoglycans and glycosaminoglycans research (5 papers). Dean J. Aguiar collaborates with scholars based in United States, Canada and Switzerland. Dean J. Aguiar's co-authors include Theodore R. Oegema, Sandra L. Johnson, Cheryl B. Knudson, Warren Knudson, Khashayar Lessan, Amy P.N. Skubitz, James W. Ogilvie, Huilin Qi, Wei Pan and Catherine M. Verfaillie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Spine.

In The Last Decade

Dean J. Aguiar

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean J. Aguiar United States 11 395 392 353 296 282 22 1.2k
Terrence F. Heathfield Canada 6 264 0.7× 144 0.4× 589 1.7× 135 0.5× 285 1.0× 6 1.0k
Harumoto Yamada Japan 22 91 0.2× 433 1.1× 518 1.5× 162 0.5× 134 0.5× 76 1.6k
Andy Cremers Netherlands 16 108 0.3× 359 0.9× 658 1.9× 85 0.3× 159 0.6× 43 1.1k
Rika Yasuhara Japan 19 82 0.2× 557 1.4× 363 1.0× 90 0.3× 126 0.4× 44 1.2k
Kunihiro Masuda Japan 18 104 0.3× 343 0.9× 439 1.2× 207 0.7× 69 0.2× 56 1.3k
Chris Kiani Canada 18 60 0.2× 513 1.3× 431 1.2× 541 1.8× 83 0.3× 20 1.4k
Suzanne B. Golub Australia 14 62 0.2× 486 1.2× 986 2.8× 303 1.0× 319 1.1× 23 1.7k
Jianlu Wei China 18 159 0.4× 404 1.0× 196 0.6× 61 0.2× 156 0.6× 44 1.0k
Yefu Li United States 20 59 0.1× 373 1.0× 702 2.0× 253 0.9× 224 0.8× 34 1.3k
Shuhei Otsuki Japan 21 79 0.2× 930 2.4× 1.5k 4.1× 225 0.8× 181 0.6× 68 2.9k

Countries citing papers authored by Dean J. Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by Dean J. Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean J. Aguiar. 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 Dean J. Aguiar. The network helps show where Dean J. Aguiar may publish in the future.

Co-authorship network of co-authors of Dean J. Aguiar

This figure shows the co-authorship network connecting the top 25 collaborators of Dean J. Aguiar. A scholar is included among the top collaborators of Dean J. Aguiar 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 Dean J. Aguiar. Dean J. Aguiar 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.
Roberds, Steven L., et al.. (2024). The role of the TSC Alliance in advancing therapy development: a patient organization perspective. PubMed. 5. 931175171–931175171.
2.
Jung, Sungmin, et al.. (2024). Data characterizing a panel of biodegradable cross-linked polyester implants for sustained delivery of an anti-viral drug. Data in Brief. 58. 111182–111182. 1 indexed citations
3.
Chun, Yujin, Joo‐Hwan Kim, Sunhee Jung, et al.. (2024). Circulating biomarkers of kidney angiomyolipoma and cysts in tuberous sclerosis complex patients. iScience. 27(7). 110265–110265.
4.
5.
Vaughan, Robert M., Jennifer J. Kordich, Stephanie L. Celano, et al.. (2022). Chemical Biology Screening Identifies a Vulnerability to Checkpoint Kinase Inhibitors in TSC2-Deficient Renal Angiomyolipomas. Frontiers in Oncology. 12. 852859–852859. 2 indexed citations
6.
Shrestha, Shikshya, Elio Adib, Dean J. Aguiar, et al.. (2022). Angiotensin II receptor type 1 blockade regulates Klotho expression to induce TSC2-deficient cell death. Journal of Biological Chemistry. 298(11). 102580–102580. 1 indexed citations
7.
Bao, Zeqing, et al.. (2021). Poly(δ-valerolactone-co-allyl-δ-valerolactone) cross-linked microparticles: Formulation, characterization and biocompatibility. Journal of Pharmaceutical Sciences. 110(7). 2771–2777. 6 indexed citations
8.
Jung, Sungmin, et al.. (2021). Cross-linked valerolactone copolymer implants with tailorable biodegradation, loading and in vitro release of paclitaxel. European Journal of Pharmaceutical Sciences. 162. 105808–105808. 6 indexed citations
9.
Theilmann, Wiebke, Birthe Gericke, Syed Muhammad Muneeb Anjum, et al.. (2020). Novel brain permeant mTORC1/2 inhibitors are as efficacious as rapamycin or everolimus in mouse models of acquired partial epilepsy and tuberous sclerosis complex. Neuropharmacology. 180. 108297–108297. 23 indexed citations
10.
Solchaga, Luis A., Christopher K. Hee, Dean J. Aguiar, et al.. (2011). Augment Bone Graft Products Compare Favorably With Autologous Bone Graft in an Ovine Model of Lumbar Interbody Spine Fusion. Spine. 37(8). E461–E467. 23 indexed citations
11.
Nemirovskiy, Olga V., David Tung, Adam Skepner, et al.. (2010). Pharmacokinetic/pharmacodynamic (PK/PD) differentiation of native and PEGylated recombinant human growth hormone (rhGH and PEG-rhGH) in the rat model of osteoarthritis. Xenobiotica. 40(8). 586–592. 10 indexed citations
12.
Yates, Matthew, Steven L. Settle, Sue A. Yocum, et al.. (2010). IGFBP-5 Metabolism Is Disrupted in the Rat Medial Meniscal Tear Model of Osteoarthritis. Cartilage. 1(1). 43–54. 6 indexed citations
13.
Barve, Ruteja A., John C. Minnerly, David J. Weiss, et al.. (2007). Transcriptional profiling and pathway analysis of monosodium iodoacetate-induced experimental osteoarthritis in rats: relevance to human disease. Osteoarthritis and Cartilage. 15(10). 1190–1198. 81 indexed citations
14.
Oegema, Theodore R., Sandra L. Johnson, Dean J. Aguiar, & James W. Ogilvie. (2000). Fibronectin and Its Fragments Increase With Degeneration in the Human Intervertebral Disc. Spine. 25(21). 2742–2747. 123 indexed citations
15.
Knudson, Cheryl B., et al.. (1999). The chondrocyte pericellular matrix: a model for hyaluronan-mediated cell-matrix interactions. Biochemical Society Transactions. 27(2). 142–148. 66 indexed citations
16.
Lessan, Khashayar, et al.. (1999). CD44 and β1 Integrin Mediate Ovarian Carcinoma Cell Adhesion to Peritoneal Mesothelial Cells. American Journal Of Pathology. 154(5). 1525–1537. 196 indexed citations
17.
Knudson, Cheryl B., et al.. (1999). The Chondrocyte Pericellular Matrix: A Model for Hyaluronan-Mediated Cell-Matrix Interactions. Biochemical Society Transactions. 27(1). A12–A12.
18.
Aguiar, Dean J., Warren Knudson, & Cheryl B. Knudson. (1999). Internalization of the Hyaluronan Receptor CD44 by Chondrocytes. Experimental Cell Research. 252(2). 292–302. 83 indexed citations
19.
Aguiar, Dean J., Sandra L. Johnson, & Theodore R. Oegema. (1999). Notochordal Cells Interact with Nucleus Pulposus Cells: Regulation of Proteoglycan Synthesis. Experimental Cell Research. 246(1). 129–137. 277 indexed citations
20.
Knudson, Warren, et al.. (1996). CD44-Anchored Hyaluronan-Rich Pericellular Matrices: An Ultrastructural and Biochemical Analysis. Experimental Cell Research. 228(2). 216–228. 153 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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