Sylvia Fong

1.6k total citations
40 papers, 1.2k citations indexed

About

Sylvia Fong is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Sylvia Fong has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 21 papers in Genetics and 9 papers in Oncology. Recurrent topics in Sylvia Fong's work include Virus-based gene therapy research (20 papers), Hemophilia Treatment and Research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Sylvia Fong is often cited by papers focused on Virus-based gene therapy research (20 papers), Hemophilia Treatment and Research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Sylvia Fong collaborates with scholars based in United States, United Kingdom and Canada. Sylvia Fong's co-authors include Robert J. Debs, Pierre‐Yves Desprez, Emma Shtivelman, Isaac Cohen, Yoko Itahana, Tomoki Sumida, Pierre-Yves Desprez, Bridget Yates, Mohammed Kashani–Sabet and Nancy M. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.

In The Last Decade

Sylvia Fong

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Fong United States 19 817 344 341 154 152 40 1.2k
Ivana Magnani Italy 20 800 1.0× 248 0.7× 184 0.5× 183 1.2× 131 0.9× 43 1.2k
Lucia Mazzacurati United States 14 550 0.7× 387 1.1× 206 0.6× 120 0.8× 74 0.5× 22 956
Keiichi I. Nakayama Japan 14 745 0.9× 336 1.0× 91 0.3× 145 0.9× 237 1.6× 22 1.2k
Luciana E. Giono Argentina 20 1.2k 1.5× 368 1.1× 157 0.5× 262 1.7× 61 0.4× 27 1.5k
Apollina Goel United States 18 639 0.8× 258 0.8× 150 0.4× 110 0.7× 161 1.1× 23 1.1k
Ignacio García‐Tuñón Spain 22 788 1.0× 386 1.1× 220 0.6× 224 1.5× 68 0.4× 45 1.5k
Caitlin B. Conboy United States 11 811 1.0× 264 0.8× 184 0.5× 140 0.9× 41 0.3× 23 1.3k
Natsuko Chiba Japan 23 1.1k 1.3× 282 0.8× 352 1.0× 164 1.1× 152 1.0× 60 1.5k
Miguel Aracil Spain 20 679 0.8× 349 1.0× 74 0.2× 268 1.7× 165 1.1× 41 1.3k
Walden Ai United States 22 1.3k 1.6× 426 1.2× 224 0.7× 382 2.5× 152 1.0× 27 1.9k

Countries citing papers authored by Sylvia Fong

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Fong

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Fong. A scholar is included among the top collaborators of Sylvia Fong 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 Sylvia Fong. Sylvia Fong 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.
2.
Miesbach, Wolfgang, Paul Batty, Pratima Chowdary, et al.. (2024). Adeno-associated virus-based gene therapy for hemophilia–addressing the gaps. Research and Practice in Thrombosis and Haemostasis. 9(1). 102673–102673. 4 indexed citations
3.
4.
Ragni, Margaret V., Elaine M. Majerus, Sylvia Fong, et al.. (2023). Valoctocogene roxaparvovec gene transfer in participants with HIV. Blood Advances. 7(8). 1525–1530. 6 indexed citations
5.
Fong, Sylvia, Bridget Yates, Choong‐Ryoul Sihn, et al.. (2022). Interindividual variability in transgene mRNA and protein production following adeno-associated virus gene therapy for hemophilia A. Nature Medicine. 28(4). 789–797. 77 indexed citations
6.
Liu, Su, Choong‐Ryoul Sihn, Geoffrey Y. Berguig, et al.. (2022). Application of in-vitro-cultured primary hepatocytes to evaluate species translatability and AAV transduction mechanisms of action. Molecular Therapy — Methods & Clinical Development. 26. 61–71. 8 indexed citations
7.
Sihn, Choong‐Ryoul, Su Liu, Lening Zhang, et al.. (2021). Molecular analysis of AAV5-hFVIII-SQ vector-genome-processing kinetics in transduced mouse and nonhuman primate livers. Molecular Therapy — Methods & Clinical Development. 24. 142–153. 24 indexed citations
8.
Zhang, Lening, Choong‐Ryoul Sihn, Lin Xie, et al.. (2019). Prednisolone Does Not Regulate Factor VIII Expression in Mice Receiving AAV5-hFVIII-SQ: Valoctocogene Roxaparvovec. Molecular Therapy — Methods & Clinical Development. 17. 13–20. 9 indexed citations
9.
10.
Yates, Bridget, Brian Long, Laurie Tsuruda, et al.. (2017). Strategy to detect pre-existing immunity to AAV gene therapy. Gene Therapy. 24(12). 768–778. 79 indexed citations
11.
Chen, Vivian, Richard E. Staub, Sylvia Fong, et al.. (2012). Bezielle Selectively Targets Mitochondria of Cancer Cells to Inhibit Glycolysis and OXPHOS. PLoS ONE. 7(2). e30300–e30300. 40 indexed citations
12.
Klawitter, Jelena, Jelena Klawitter, Sylvia Fong, et al.. (2011). Bezielle (BZL101)‐induced oxidative stress damage followed by redistribution of metabolic fluxes in breast cancer cells: A combined proteomic and metabolomic study. International Journal of Cancer. 129(12). 2945–2957. 22 indexed citations
13.
Fong, Sylvia, Frank W. King, & Emma Shtivelman. (2010). CC3/TIP30 affects DNA damage repair. BMC Cell Biology. 11(1). 23–23. 8 indexed citations
14.
Zielinski, Anne J., Sylvia Fong, Juanita Allison, et al.. (2009). The helix‐loop‐helix Id‐1 inhibits PSA expression in prostate cancer cells. International Journal of Cancer. 126(10). 2490–2496. 8 indexed citations
15.
Liggitt, Denny, et al.. (2006). Systemic co-administration of depsipeptide selectively targets transfection enhancement to specific tissues and cell types. Gene Therapy. 13(24). 1724–1730. 4 indexed citations
16.
Nosrati, Mehdi, Shang Li, Sylvia Fong, et al.. (2006). Genes and pathways downstream of telomerase in melanoma metastasis. Proceedings of the National Academy of Sciences. 103(30). 11306–11311. 104 indexed citations
17.
Fong, Sylvia, Robert J. Debs, & Pierre‐Yves Desprez. (2004). Id genes and proteins as promising targets in cancer therapy. Trends in Molecular Medicine. 10(8). 387–392. 117 indexed citations
18.
Fong, Sylvia, Yong Liu, Timothy D. Heath, et al.. (2004). Membrane-permeant, DNA-binding agents alter intracellular trafficking and increase the transfection efficiency of complexed plasmid DNA. Molecular Therapy. 10(4). 706–718. 10 indexed citations
19.
Liu, Yong, Sylvia Fong, & Robert J. Debs. (2003). Cationic Liposome-Mediated Gene Delivery In Vivo. Methods in enzymology on CD-ROM/Methods in enzymology. 373. 536–550. 12 indexed citations
20.
Kashani–Sabet, Mohammed, Yong Liu, Sylvia Fong, et al.. (2002). Identification of gene function and functional pathways by systemic plasmid-based ribozyme targeting in adult mice. Proceedings of the National Academy of Sciences. 99(6). 3878–3883. 37 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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