Raymond Rosa

1.3k total citations
22 papers, 616 citations indexed

About

Raymond Rosa is a scholar working on Molecular Biology, Surgery and Virology. According to data from OpenAlex, Raymond Rosa has authored 22 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Virology. Recurrent topics in Raymond Rosa's work include HIV Research and Treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Raymond Rosa is often cited by papers focused on HIV Research and Treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Raymond Rosa collaborates with scholars based in United States, Italy and United Kingdom. Raymond Rosa's co-authors include Laurence B. Peterson, Linda S. Wicker, Jan Clark, Dan Rainbow, Luc J Smink, Andrea González-Muñoz, John A. Todd, Kara Hunter, Sarah Howlett and Julie A. DeMartino and has published in prestigious journals such as The Journal of Immunology, Journal of Lipid Research and Biochemical Pharmacology.

In The Last Decade

Raymond Rosa

22 papers receiving 594 citations

Peers

Raymond Rosa
J. Jasper Deuring Netherlands
Homayon Banie United States
Andrew B. Gerry United Kingdom
T. Witthoeft Germany
Lyndon C. Kirby United States
Raymond Rosa
Citations per year, relative to Raymond Rosa Raymond Rosa (= 1×) peers Pierre-Marie Danzé

Countries citing papers authored by Raymond Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond Rosa. 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 Raymond Rosa. The network helps show where Raymond Rosa may publish in the future.

Co-authorship network of co-authors of Raymond Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Rosa. A scholar is included among the top collaborators of Raymond Rosa 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 Raymond Rosa. Raymond Rosa 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.
Yu, Sijia, et al.. (2023). Mechanisms of Obesity-Induced Changes in Pharmacokinetics of IgG in Rats. Pharmaceutical Research. 40(5). 1223–1238. 1 indexed citations
2.
Rose, Anne, et al.. (2020). Lymphatic Distribution of Etanercept Following Intravenous and Subcutaneous Delivery to Rats. Pharmaceutical Research. 37(8). 155–155. 10 indexed citations
3.
Rosa, Raymond, Daphne Szeto, Gail Forrest, et al.. (2017). Effects of carvedilol on structural and functional outcomes and plasma biomarkers in the mouse transverse aortic constriction heart failure model. SAGE Open Medicine. 5. 2104772057–2104772057. 4 indexed citations
4.
Rosa, Raymond, Barry J. Campbell, Richard P. Kennan, et al.. (2016). Early echocardiographic predictors of outcomes in the mouse transverse aortic constriction heart failure model. Journal of Pharmacological and Toxicological Methods. 84. 93–101. 11 indexed citations
5.
Celesia, Benedetto Maurizio, Luca Lo Nigro, Marilia Rita Pinzone, et al.. (2013). High prevalence of undiagnosed anxiety symptoms among HIV-positive individuals on cART: a cross-sectional study.. PubMed. 17(15). 2040–6. 16 indexed citations
6.
McLaren, David G., Steven J. Stout, Dan Xie, et al.. (2012). Tracking fatty acid kinetics in distinct lipoprotein fractions in vivo: a novel high-throughput approach for studying dyslipidemia in rodent models. Journal of Lipid Research. 54(1). 276–281. 12 indexed citations
7.
Zhou, Haihong, Wenyu Li, Sheng-Ping Wang, et al.. (2012). Quantifying apoprotein synthesis in rodents: coupling LC-MS/MS analyses with the administration of labeled water. Journal of Lipid Research. 53(6). 1223–1231. 20 indexed citations
8.
Sweis, Ramzi F., Julianne A. Hunt, Peter M. Sinclair, et al.. (2011). 2-(4-Carbonylphenyl)benzoxazole inhibitors of CETP: Attenuation of hERG binding and improved HDLc-raising efficacy. Bioorganic & Medicinal Chemistry Letters. 21(9). 2597–2600. 11 indexed citations
9.
Sweis, Ramzi F., Julianne A. Hunt, Milton L. Hammond, et al.. (2010). 2-(4-Carbonylphenyl)benzoxazole inhibitors of CETP: Scaffold design and advancement in HDLc-raising efficacy. Bioorganic & Medicinal Chemistry Letters. 21(6). 1890–1895. 15 indexed citations
10.
Montineri, Arturo, et al.. (2008). [Saccharomyces cerevisiae fungemia associated with multifocal pneumonia in a patient with alcohol-related hepatic cirrhosis].. PubMed. 16(4). 227–9. 6 indexed citations
11.
Celesia, Benedetto Maurizio, et al.. (2008). HAART in HIV+ naive elderly patients: immuno-virological response and clinical outcome. Journal of the International AIDS Society. 11(Suppl 1). P17–P17. 1 indexed citations
12.
Nigro, Luciano, Carlo Vancheri, Raymond Rosa, et al.. (2007). CCR5 and CCR3 expression on T CD3+ lymphocytes from HIV/Leishmania co-infected subjects. Medical Microbiology and Immunology. 196(4). 253–255. 11 indexed citations
13.
Szewczyk, Jason W., Jayne Chin, Lyndon J. Mitnaul, et al.. (2006). SAR studies: Designing potent and selective LXR agonists. Bioorganic & Medicinal Chemistry Letters. 16(11). 3055–3060. 13 indexed citations
14.
Lund, Erik, Laurence B. Peterson, Alan D. Adams, et al.. (2005). Different roles of liver X receptor α and β in lipid metabolism: Effects of an α-selective and a dual agonist in mice deficient in each subtype. Biochemical Pharmacology. 71(4). 453–463. 112 indexed citations
15.
Wicker, Linda S., Jan Clark, Heather Fraser, et al.. (2005). Type 1 diabetes genes and pathways shared by humans and NOD mice. Journal of Autoimmunity. 25. 29–33. 116 indexed citations
16.
Wicker, Linda S., Giselle Chamberlain, Kara Hunter, et al.. (2004). Fine Mapping, Gene Content, Comparative Sequencing, and Expression Analyses Support Ctla4 and Nramp1 as Candidates for Idd5.1 and Idd5.2 in the Nonobese Diabetic Mouse. The Journal of Immunology. 173(1). 164–173. 91 indexed citations
17.
Xie, Jenny, Naomi Nomura, Min Lu, et al.. (2003). Antibody-mediated blockade of the CXCR3 chemokine receptor results in diminished recruitment of T helper 1 cells into sites of inflammation. Journal of Leukocyte Biology. 73(6). 771–780. 139 indexed citations
18.
Rosa, Raymond, et al.. (2000). Indagine sulla qualità igienico-sanitaria di pasta di mandorle prodotta in Sicilia. 39(389). 137–143. 2 indexed citations
19.
Wong, Frederick, Mark A. Holmes, Peter M. Sinclair, et al.. (1999). Potent immunosuppressive C32-O-arylethyl ether derivatives of ascomycin with reduced toxicity. Bioorganic & Medicinal Chemistry Letters. 9(14). 2089–2094. 4 indexed citations
20.
Goulet, Mark T., Shelli R. McAlpine, Mary Jo Staruch, et al.. (1998). C32-O-imidazol-2-yl-methyl ether derivatives of the immunosuppressant ascomycin with improved therapeutic potential. Bioorganic & Medicinal Chemistry Letters. 8(16). 2253–2258. 11 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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