Matthew Tiffany

871 total citations · 1 hit paper
15 papers, 678 citations indexed

About

Matthew Tiffany is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew Tiffany has authored 15 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew Tiffany's work include Virus-based gene therapy research (5 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (4 papers). Matthew Tiffany is often cited by papers focused on Virus-based gene therapy research (5 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (4 papers). Matthew Tiffany collaborates with scholars based in United States, India and Austria. Matthew Tiffany's co-authors include Francis C. Szoka, Jonathan T. Sockolosky, Aditya Kohli, Saul Kivimäe, Akanksha Chhabra, K. Christopher García, Stephanie Silveria, Antoni Ribas, Leah V. Sibener and Lora K. Picton and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew Tiffany

14 papers receiving 668 citations

Hit Papers

Selective targeting of engineered T cells using orthogona... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Matthew Tiffany
Marc Wehrli United States
Mahboubeh Yazdanifar United States
Khue G. Nguyen United States
Peyman Hosseinchi United States
Amani Makkouk United States
Majed Matar United States
Marc Wehrli United States
Matthew Tiffany
Citations per year, relative to Matthew Tiffany Matthew Tiffany (= 1×) peers Marc Wehrli

Countries citing papers authored by Matthew Tiffany

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tiffany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tiffany

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

All Works

15 of 15 papers shown
1.
Alencastro, Gustavo de, Katja Pekrun, Paul N. Valdmanis, et al.. (2020). Tracking Adeno-Associated Virus Capsid Evolution by High-Throughput Sequencing. Human Gene Therapy. 31(9-10). 553–564. 18 indexed citations
2.
Spector, Laura, Matthew Tiffany, Nicole M. Ferraro, et al.. (2020). Evaluating the Genomic Parameters Governing rAAV-Mediated Homologous Recombination. Molecular Therapy. 29(3). 1028–1046. 9 indexed citations
3.
Alencastro, Gustavo de, Francesco Puzzo, Mara Pavel-Dinu, et al.. (2020). Improved Genome Editing through Inhibition of FANCM and Members of the BTR Dissolvase Complex. Molecular Therapy. 29(3). 1016–1027. 10 indexed citations
4.
Pekrun, Katja, Gustavo de Alencastro, Jun Liu, et al.. (2019). Using a barcoded AAV capsid library to select for clinically relevant gene therapy vectors. JCI Insight. 4(22). 73 indexed citations
5.
Sockolosky, Jonathan T., Eleonora Trotta, Giulia Parisi, et al.. (2018). Selective targeting of engineered T cells using orthogonal IL-2 cytokine-receptor complexes. Science. 359(6379). 1037–1042. 275 indexed citations breakdown →
6.
Ho, Chia Chi M., Akanksha Chhabra, Philipp Starkl, et al.. (2017). Decoupling the Functional Pleiotropy of Stem Cell Factor by Tuning c-Kit Signaling. Cell. 168(6). 1041–1052.e18. 52 indexed citations
7.
8.
Tiffany, Matthew & Mark A. Kay. (2016). 253. Expanded Packaging Capacity of AAV by Lumenal Charge Alteration. Molecular Therapy. 24. S99–S100. 4 indexed citations
9.
Kohli, Aditya, Saul Kivimäe, Matthew Tiffany, & Francis C. Szoka. (2014). Improving the distribution of Doxil® in the tumor matrix by depletion of tumor hyaluronan. Journal of Controlled Release. 191. 105–114. 74 indexed citations
10.
Tiffany, Matthew, et al.. (2014). FPIN's Clinical Inquiries. Screening for autism spectrum disorders.. PubMed. 90(8). 574–5.
11.
Sockolosky, Jonathan T., Matthew Tiffany, & Francis C. Szoka. (2012). Engineering neonatal Fc receptor-mediated recycling and transcytosis in recombinant proteins by short terminal peptide extensions. Proceedings of the National Academy of Sciences. 109(40). 16095–16100. 52 indexed citations
12.
Walsh, Colin, Juliane Nguyen, Matthew Tiffany, & Francis C. Szoka. (2012). Synthesis, Characterization, and Evaluation of Ionizable Lysine-Based Lipids for siRNA Delivery. Bioconjugate Chemistry. 24(1). 36–43. 45 indexed citations
13.
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
15.
Krstenansky, John L., et al.. (2004). Probing Proteinase Active Sites Using Oriented Peptide Mixture Libraries - ADAM-10. Letters in Drug Design & Discovery. 1(1). 6–13. 2 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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