Rebecca Dutch

4.4k total citations
78 papers, 3.4k citations indexed

About

Rebecca Dutch is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Rebecca Dutch has authored 78 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Epidemiology, 29 papers in Infectious Diseases and 19 papers in Genetics. Recurrent topics in Rebecca Dutch's work include Virology and Viral Diseases (46 papers), Respiratory viral infections research (35 papers) and Virus-based gene therapy research (17 papers). Rebecca Dutch is often cited by papers focused on Virology and Viral Diseases (46 papers), Respiratory viral infections research (35 papers) and Virus-based gene therapy research (17 papers). Rebecca Dutch collaborates with scholars based in United States, Chile and Russia. Rebecca Dutch's co-authors include Robert A. Lamb, Andrés Chang, Cara T. Pager, Theodore S. Jardetzky, Kent A. Baker, Nicolás Cifuentes-Muñoz, I Lehman, Rachel M. Schowalter, Farah El Najjar and Cyril Masante and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Rebecca Dutch

78 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Dutch United States 33 2.4k 1.3k 678 592 530 78 3.4k
Josep Quer Spain 35 2.6k 1.1× 1.3k 1.0× 677 1.0× 644 1.1× 389 0.7× 154 4.9k
Hector C. Aguilar United States 29 2.0k 0.8× 1.1k 0.8× 769 1.1× 337 0.6× 391 0.7× 63 2.9k
Rob W.H. Ruigrok France 30 1.6k 0.7× 1.2k 0.9× 932 1.4× 465 0.8× 535 1.0× 47 3.1k
Ronald N. Harty United States 38 1.9k 0.8× 2.1k 1.6× 830 1.2× 623 1.1× 517 1.0× 87 4.2k
Sue E. Delos United States 21 1.2k 0.5× 1.8k 1.3× 699 1.0× 376 0.6× 354 0.7× 33 3.0k
Jiro Yasuda Japan 32 1.2k 0.5× 1.5k 1.1× 906 1.3× 367 0.6× 445 0.8× 125 3.3k
Stephen A. Udem United States 35 2.6k 1.1× 1.3k 1.0× 965 1.4× 840 1.4× 380 0.7× 66 3.9k
Linda Buonocore United States 30 2.1k 0.9× 1.4k 1.1× 755 1.1× 1.1k 1.9× 1.1k 2.0× 51 3.8k
Richard J. Sugrue Singapore 28 1.6k 0.6× 869 0.7× 897 1.3× 236 0.4× 197 0.4× 74 2.6k
Robert A. Olmsted United States 35 3.0k 1.2× 1.7k 1.3× 505 0.7× 821 1.4× 1.5k 2.8× 50 4.2k

Countries citing papers authored by Rebecca Dutch

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Dutch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Dutch

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Dutch. A scholar is included among the top collaborators of Rebecca Dutch 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 Rebecca Dutch. Rebecca Dutch 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.
Hoogen, Bernadette van den, et al.. (2025). Human metapneumovirus: understanding the molecular mechanisms and pathology of infection. Journal of Virology. 99(10). e0028425–e0028425. 1 indexed citations
2.
3.
Wu, Chao, Alex S. Holehouse, Daisy W. Leung, Gaya K. Amarasinghe, & Rebecca Dutch. (2022). Liquid Phase Partitioning in Virus Replication: Observations and Opportunities. Annual Review of Virology. 9(1). 285–306. 34 indexed citations
4.
Moncman, Carole L., et al.. (2021). Effect of clinical isolate or cleavage site mutations in the SARS-CoV-2 spike protein on protein stability, cleavage, and cell–cell fusion. Journal of Biological Chemistry. 297(1). 100902–100902. 20 indexed citations
5.
Moncman, Carole L., et al.. (2021). Analysis of Hendra Virus Fusion Protein N-Terminal Transmembrane Residues. Viruses. 13(12). 2353–2353. 1 indexed citations
6.
Straus, Marco R., et al.. (2020). SPINT2 inhibits proteases involved in activation of both influenza viruses and metapneumoviruses. Virology. 543. 43–53. 17 indexed citations
7.
Oreste, Pasqua, et al.. (2016). Inhibition of Human Metapneumovirus Binding to Heparan Sulfate Blocks Infection in Human Lung Cells and Airway Tissues. Journal of Virology. 90(20). 9237–9250. 51 indexed citations
8.
Chai, Qian, et al.. (2016). Study of the degradation of a multidrug transporter using a non-radioactive pulse chase method. Analytical and Bioanalytical Chemistry. 408(27). 7745–7751. 8 indexed citations
9.
Chai, Qian, et al.. (2016). The ssrA-Tag Facilitated Degradation of an Integral Membrane Protein. Biochemistry. 55(16). 2301–2304. 10 indexed citations
10.
Smith, Everett Clinton, Stacy E. Smith, James R. Carter, et al.. (2013). Trimeric Transmembrane Domain Interactions in Paramyxovirus Fusion Proteins. Journal of Biological Chemistry. 288(50). 35726–35735. 30 indexed citations
11.
Chang, Andrés, Cyril Masante, Ursula J. Buchholz, & Rebecca Dutch. (2012). Human Metapneumovirus (HMPV) Binding and Infection Are Mediated by Interactions between the HMPV Fusion Protein and Heparan Sulfate. Journal of Virology. 86(6). 3230–3243. 90 indexed citations
12.
Smith, Everett Clinton, et al.. (2012). Beyond Anchoring: the Expanding Role of the Hendra Virus Fusion Protein Transmembrane Domain in Protein Folding, Stability, and Function. Journal of Virology. 86(6). 3003–3013. 22 indexed citations
13.
Chang, Andrés, Brent A. Hackett, Christine Winter, Ursula J. Buchholz, & Rebecca Dutch. (2012). Potential Electrostatic Interactions in Multiple Regions Affect Human Metapneumovirus F-Mediated Membrane Fusion. Journal of Virology. 86(18). 9843–9853. 16 indexed citations
14.
Wurth, Mark, Rachel M. Schowalter, Everett Clinton Smith, et al.. (2010). The actin cytoskeleton inhibits pore expansion during PIV5 fusion protein-promoted cell–cell fusion. Virology. 404(1). 117–126. 27 indexed citations
15.
Smith, Everett Clinton, Andreea Popa, Andrés Chang, Cyril Masante, & Rebecca Dutch. (2009). Viral entry mechanisms: the increasing diversity of paramyxovirus entry. FEBS Journal. 276(24). 7217–7227. 139 indexed citations
16.
Schowalter, Rachel M., Mark Wurth, Hector C. Aguilar, et al.. (2006). Rho GTPase activity modulates paramyxovirus fusion protein-mediated cell–cell fusion. Virology. 350(2). 323–334. 30 indexed citations
17.
Pager, Cara T. & Rebecca Dutch. (2005). Cathepsin L Is Involved in Proteolytic Processing of the Hendra Virus Fusion Protein. Journal of Virology. 79(20). 12714–12720. 161 indexed citations
18.
Lamb, Robert A., et al.. (1999). The paramyxovirus fusion protein forms an extremely stable core trimer: structural parallels to influenza virus haemagglutinin and HIV-1 gp41. Molecular Membrane Biology. 16(1). 11–19. 37 indexed citations
19.
Dutch, Rebecca, et al.. (1998). A Core Trimer of the Paramyxovirus Fusion Protein: Parallels to Influenza Virus Hemagglutinin and HIV-1 gp41. Virology. 248(1). 20–34. 152 indexed citations
20.

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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