Virginia M. Platt

665 total citations
7 papers, 537 citations indexed

About

Virginia M. Platt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Virginia M. Platt has authored 7 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Virginia M. Platt's work include Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Virginia M. Platt is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Virginia M. Platt collaborates with scholars based in United States and South Korea. Virginia M. Platt's co-authors include Francis C. Szoka, Limin Cao, Vincent J. Venditto, Douglas S. Watson, Zhaohua Huang, Do Yup Lee, Cynthia T. McMurray, Christie A. Canaria, Matthew Tiffany and Katherine Louie and has published in prestigious journals such as PLoS ONE, Bioconjugate Chemistry and Molecular Pharmaceutics.

In The Last Decade

Virginia M. Platt

7 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia M. Platt United States 6 287 180 129 120 64 7 537
Julio M. Rios De La Rosa United Kingdom 10 272 0.9× 231 1.3× 213 1.7× 103 0.9× 72 1.1× 12 650
Jere T. Pikkarainen Finland 12 368 1.3× 137 0.8× 107 0.8× 60 0.5× 107 1.7× 16 594
Taryn R. Bagby United States 8 206 0.7× 231 1.3× 165 1.3× 63 0.5× 138 2.2× 8 670
Reiner Zeisig Germany 17 396 1.4× 203 1.1× 80 0.6× 36 0.3× 128 2.0× 44 704
Sebastian C.J. Steiniger United States 11 460 1.6× 258 1.4× 173 1.3× 142 1.2× 152 2.4× 12 804
Kelli M. Luginbuhl United States 10 373 1.3× 243 1.4× 94 0.7× 29 0.2× 47 0.7× 12 686
Akshay Jain United States 16 503 1.8× 270 1.5× 271 2.1× 68 0.6× 152 2.4× 21 993
Beom Suk Lee South Korea 14 273 1.0× 272 1.5× 246 1.9× 38 0.3× 56 0.9× 21 651
Junxiao Ye China 17 516 1.8× 229 1.3× 176 1.4× 28 0.2× 78 1.2× 23 864
Jason Li United States 12 273 1.0× 122 0.7× 301 2.3× 54 0.5× 40 0.6× 18 681

Countries citing papers authored by Virginia M. Platt

Since Specialization
Citations

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

Fields of papers citing papers by Virginia M. Platt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia M. Platt. 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 Virginia M. Platt. The network helps show where Virginia M. Platt may publish in the future.

Co-authorship network of co-authors of Virginia M. Platt

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

All Works

7 of 7 papers shown
1.
Lee, Do Yup, Zhiyin Xun, Virginia M. Platt, et al.. (2013). Distinct Pools of Non-Glycolytic Substrates Differentiate Brain Regions and Prime Region-Specific Responses of Mitochondria. PLoS ONE. 8(7). e68831–e68831. 22 indexed citations
2.
Lee, Do Yup, Virginia M. Platt, Ben Bowen, et al.. (2012). Resolving brain regions using nanostructure initiator mass spectrometry imaging of phospholipids. Integrative Biology. 4(6). 693–693. 28 indexed citations
3.
Watson, Douglas S., Virginia M. Platt, Limin Cao, Vincent J. Venditto, & Francis C. Szoka. (2010). Antibody Response to Polyhistidine-Tagged Peptide and Protein Antigens Attached to Liposomes via Lipid-Linked Nitrilotriacetic Acid in Mice. Clinical and Vaccine Immunology. 18(2). 289–297. 51 indexed citations
4.
Platt, Virginia M., et al.. (2010). Influence of Multivalent Nitrilotriacetic Acid Lipid−Ligand Affinity on the Circulation Half-Life in Mice of a Liposome-Attached His6-Protein. Bioconjugate Chemistry. 21(5). 892–902. 40 indexed citations
5.
Platt, Virginia M.. (2010). Surface functionalization of liposomes with proteins and carbohydrates for use in anti-cancer applications. eScholarship (California Digital Library). 1 indexed citations
6.
Park, Joshua I., Limin Cao, Virginia M. Platt, et al.. (2009). Antitumor Therapy Mediated by 5-Fluorocytosine and a Recombinant Fusion Protein Containing TSG-6 Hyaluronan Binding Domain and Yeast Cytosine Deaminase. Molecular Pharmaceutics. 6(3). 801–812. 17 indexed citations
7.
Platt, Virginia M. & Francis C. Szoka. (2008). Anticancer Therapeutics: Targeting Macromolecules and Nanocarriers to Hyaluronan or CD44, a Hyaluronan Receptor. Molecular Pharmaceutics. 5(4). 474–486. 378 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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