Raphael J. Mannino

1.3k total citations
38 papers, 932 citations indexed

About

Raphael J. Mannino is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Raphael J. Mannino has authored 38 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Infectious Diseases and 10 papers in Epidemiology. Recurrent topics in Raphael J. Mannino's work include RNA Interference and Gene Delivery (16 papers), Antifungal resistance and susceptibility (8 papers) and Virus-based gene therapy research (6 papers). Raphael J. Mannino is often cited by papers focused on RNA Interference and Gene Delivery (16 papers), Antifungal resistance and susceptibility (8 papers) and Virus-based gene therapy research (6 papers). Raphael J. Mannino collaborates with scholars based in United States, Switzerland and Italy. Raphael J. Mannino's co-authors include Susan Gould-Fogerite, Leila Zarif, David S. Perlin, Max M. Burger, John R. Graybill, Rosie Bocanegra, Laura K. Najvar, Rosaria Santangelo, Parker A. Small and Richard Kris and has published in prestigious journals such as Nature, Science and The Journal of Experimental Medicine.

In The Last Decade

Raphael J. Mannino

37 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael J. Mannino United States 17 410 298 281 194 113 38 932
Vibhu Kanchan India 9 420 1.0× 208 0.7× 302 1.1× 511 2.6× 125 1.1× 11 994
Jean‐François Viret Switzerland 18 425 1.0× 232 0.8× 179 0.6× 245 1.3× 55 0.5× 30 1.0k
Noelene E. Byars United States 18 414 1.0× 146 0.5× 248 0.9× 569 2.9× 47 0.4× 27 1.2k
Seyed Mehdi Sadat Iran 17 443 1.1× 220 0.7× 292 1.0× 289 1.5× 54 0.5× 95 1.1k
Miguel R. Moreno Spain 18 389 0.9× 165 0.6× 129 0.5× 63 0.3× 70 0.6× 24 944
John P. McGee United States 17 495 1.2× 145 0.5× 154 0.5× 347 1.8× 348 3.1× 34 1.2k
Barbara Bolgiano United Kingdom 22 634 1.5× 192 0.6× 339 1.2× 344 1.8× 69 0.6× 62 1.2k
Jeffrey J. Landers United States 17 284 0.7× 133 0.4× 190 0.7× 292 1.5× 124 1.1× 26 823
Brendon Y. Chua Australia 21 279 0.7× 134 0.4× 393 1.4× 510 2.6× 46 0.4× 52 972
Marie Chow United States 19 684 1.7× 356 1.2× 159 0.6× 250 1.3× 22 0.2× 28 1.4k

Countries citing papers authored by Raphael J. Mannino

Since Specialization
Citations

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

Fields of papers citing papers by Raphael J. Mannino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael J. Mannino

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael J. Mannino. A scholar is included among the top collaborators of Raphael J. Mannino 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 Raphael J. Mannino. Raphael J. Mannino 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.
Gu, Yiyou, et al.. (2024). Efficacy of an oral lipid nanocrystal formulation of amphotericin B (MAT2203) in the neutropenic mouse model of pulmonary mucormycosis. Antimicrobial Agents and Chemotherapy. 68(6). e0154023–e0154023. 5 indexed citations
2.
3.
Marone, Palma Ann, et al.. (2005). Structural Determinants of Divalent Cation-Induced Phosphatidylserine Cochleate Crystallization. Microscopy and Microanalysis. 11(S02). 6 indexed citations
4.
Gibson, Brian, Angela Duffy, Ziwei Chen, et al.. (2004). A novel gene delivery system for mammalian cells.. PubMed. 24(2A). 483–8. 9 indexed citations
5.
Zarif, Leila & Raphael J. Mannino. (2002). Cochleates. Advances in experimental medicine and biology. 465. 83–93. 16 indexed citations
6.
Feketeová, Eva, et al.. (2001). PROTECTIVE IMMUNITY IN MICE FOLLOWING IMMUNIZATION WITH THE COCHLEATE-BASED SUBUNIT INFLUENZA VACCINES. 5(1). 33–38. 1 indexed citations
7.
Santangelo, Rosaria, Padmaja Paderu, Gilles Delmas, et al.. (2000). Efficacy of Oral Cochleate-Amphotericin B in a Mouse Model of Systemic Candidiasis. Antimicrobial Agents and Chemotherapy. 44(9). 2356–2360. 113 indexed citations
8.
Gould-Fogerite, Susan & Raphael J. Mannino. (1996). Mucosal and Systemic Immunization using Cochleate and Liposome Vaccines. Journal of Liposome Research. 6(2). 357–379. 29 indexed citations
9.
Reston, James, Susan Gould-Fogerite, & Raphael J. Mannino. (1995). Aspects of cellular physiology that influence DNA-mediated gene transfer in NIH3T3 cells. Molecular and Cellular Biochemistry. 145(2). 169–175. 1 indexed citations
10.
Mannino, Raphael J. & Susan Gould-Fogerite. (1995). Lipid Matrix-Based Vaccines for Mucosal and Systemic Immunization. Pharmaceutical biotechnology. 6. 363–387. 15 indexed citations
11.
Gould-Fogerite, Susan, Yvette Edghill‐Smith, Masoumeh Tavassoti Kheiri, et al.. (1994). Lipid matrix-based subunit vaccines: a structure-function approach to oral and parenteral immunization.. PubMed. 10 Suppl 2. S99–103. 16 indexed citations
12.
Reston, James, Susan Gould-Fogerite, & Raphael J. Mannino. (1993). Differential effects of the phorbol ester TPA on DNA-mediated transfection in a variety of cell lines. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1177(1). 49–53. 2 indexed citations
13.
Miller, Michael D., Susan Gould-Fogerite, Lei Shen, et al.. (1992). Vaccination of rhesus monkeys with synthetic peptide in a fusogenic proteoliposome elicits simian immunodeficiency virus-specific CD8+ cytotoxic T lymphocytes.. The Journal of Experimental Medicine. 176(6). 1739–1744. 58 indexed citations
14.
Reston, James, Susan Gould-Fogerite, & Raphael J. Mannino. (1991). Potentiation of DNA mediated gene transfer in NIH3T3 cells by activators of protein kinase C. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1088(2). 270–276. 16 indexed citations
15.
Eisele, Leslie E., Edgar P. Heimer, A. Felix, et al.. (1990). Defining minimal requirements for antibody production to peptide antigens. Vaccine. 8(3). 257–262. 28 indexed citations
16.
Kris, Richard, et al.. (1989). Intranasal immunization with proteoliposomes protects against influenza. Vaccine. 7(2). 147–151. 81 indexed citations
17.
Gould-Fogerite, Susan, Joseph E. Mazurkiewicz, K Raska, et al.. (1989). Chimerasome-mediated gene transfer in vitro and in vivo. Gene. 84(2). 429–438. 30 indexed citations
18.
Mannino, Raphael J., et al.. (1981). The glycoprotein isolated from vesicular stomatitis virus is mitogenic for mouse B lymphocytes.. The Journal of Experimental Medicine. 153(6). 1489–1502. 24 indexed citations
19.
Mannino, Raphael J., et al.. (1978). Growth Inhibition of Transformed Cells with Succinylated Concanavalin A. Science. 201(4358). 824–826. 18 indexed citations
20.
Mannino, Raphael J. & Max M. Burger. (1975). The Characteristics of Succinylated Con A Induced Growth Inhibition of 3T3 Cells in Tissue Culture. Advances in experimental medicine and biology. 55. 207–220. 1 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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