Deena L. Hepburn

818 total citations
8 papers, 680 citations indexed

About

Deena L. Hepburn is a scholar working on Physiology, Oncology and Immunology. According to data from OpenAlex, Deena L. Hepburn has authored 8 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Deena L. Hepburn's work include T-cell and B-cell Immunology (3 papers), Alzheimer's disease research and treatments (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). Deena L. Hepburn is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Alzheimer's disease research and treatments (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). Deena L. Hepburn collaborates with scholars based in United States, Canada and United Kingdom. Deena L. Hepburn's co-authors include Bruce D. Gitter, Daniel Ness, Patrick C. May, Jingyong Zhao, Songqing Na, Kelly R. Bales, David M. Holtzman, Ronald B. DeMattos, Laura Boone and Margaret M. Racke and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Deena L. Hepburn

8 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deena L. Hepburn United States 7 331 195 149 147 124 8 680
Robert Breese United States 10 329 1.0× 364 1.9× 98 0.7× 147 1.0× 58 0.5× 13 806
Irina Lonskaya United States 19 327 1.0× 642 3.3× 111 0.7× 112 0.8× 189 1.5× 21 1.5k
Sebastian Hogl Germany 11 303 0.9× 347 1.8× 80 0.5× 37 0.3× 67 0.5× 14 784
Kathleen Seyb United States 14 146 0.4× 214 1.1× 59 0.4× 54 0.4× 53 0.4× 19 546
Julia Mills Canada 10 290 0.9× 540 2.8× 115 0.8× 68 0.5× 46 0.4× 18 959
Janice Maloney United States 6 223 0.7× 365 1.9× 88 0.6× 67 0.5× 78 0.6× 8 651
Sophie Robinson United Kingdom 7 180 0.5× 196 1.0× 52 0.3× 65 0.4× 77 0.6× 8 433
Cristina Ploia Italy 8 180 0.5× 196 1.0× 71 0.5× 54 0.4× 48 0.4× 9 467
Jeffrey S. Farrow United States 9 858 2.6× 545 2.8× 148 1.0× 25 0.2× 104 0.8× 9 1.1k
Hamid Y. Qureshi Canada 16 390 1.2× 573 2.9× 130 0.9× 52 0.4× 70 0.6× 18 1.0k

Countries citing papers authored by Deena L. Hepburn

Since Specialization
Citations

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

Fields of papers citing papers by Deena L. Hepburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deena L. Hepburn

This figure shows the co-authorship network connecting the top 25 collaborators of Deena L. Hepburn. A scholar is included among the top collaborators of Deena L. Hepburn 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 Deena L. Hepburn. Deena L. Hepburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Schuelert, Niklas, Adrian J. Mogg, Deena L. Hepburn, et al.. (2010). Paradoxical effects of the cannabinoid CB2 receptor agonist GW405833 on rat osteoarthritic knee joint pain. Osteoarthritis and Cartilage. 18(11). 1536–1543. 67 indexed citations
2.
Staschke, Kirk A., Sucai Dong, J. K. Saha, et al.. (2009). IRAK4 Kinase Activity Is Required for Th17 Differentiation and Th17-Mediated Disease. The Journal of Immunology. 183(1). 568–577. 45 indexed citations
3.
Tan, Seng‐Lai, Jingyong Zhao, Bi Chen, et al.. (2006). Resistance to Experimental Autoimmune Encephalomyelitis and Impaired IL-17 Production in Protein Kinase Cθ-Deficient Mice. The Journal of Immunology. 176(5). 2872–2879. 117 indexed citations
4.
Schmidt, Clint S., Jingyong Zhao, Deena L. Hepburn, et al.. (2005). Resistance to Myelin Oligodendrocyte Glycoprotein-Induced Experimental Autoimmune Encephalomyelitis by Death Receptor 6-Deficient Mice. The Journal of Immunology. 175(4). 2286–2292. 17 indexed citations
5.
6.
Ness, Daniel, Leonard N. Boggs, Deena L. Hepburn, et al.. (2004). P2-053 Reduced β-amyloid burden, increased C-99 concentrations and evaluation of neuropathology in the brains of PDAPP mice given LY450139 dihydrate daily by gavage for 5 months. Neurobiology of Aging. 25. S238–S239. 26 indexed citations
7.
DeMattos, Ronald B., Laura Boone, Deena L. Hepburn, et al.. (2004). P4-358 In vitro and in vivo characterization of beta-amyloid antibodies binding to cerebral amyloid angiopathy (CAA) and the selective exacerbation of CAA-associated microhemorrhage. Neurobiology of Aging. 25. S577–S577. 6 indexed citations
8.
Little, Sheila P., Eric P. Dixon, Frank A. Norris, et al.. (1997). Zyme, a Novel and Potentially Amyloidogenic Enzyme cDNA Isolated from Alzheimer's Disease Brain. Journal of Biological Chemistry. 272(40). 25135–25142. 141 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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