Megan L. Shaw

9.9k total citations · 1 hit paper
56 papers, 4.5k citations indexed

About

Megan L. Shaw is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Megan L. Shaw has authored 56 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 19 papers in Infectious Diseases and 19 papers in Immunology. Recurrent topics in Megan L. Shaw's work include Influenza Virus Research Studies (20 papers), interferon and immune responses (17 papers) and Viral Infections and Vectors (12 papers). Megan L. Shaw is often cited by papers focused on Influenza Virus Research Studies (20 papers), interferon and immune responses (17 papers) and Viral Infections and Vectors (12 papers). Megan L. Shaw collaborates with scholars based in United States, United Kingdom and South Africa. Megan L. Shaw's co-authors include Peter Palese, Adolfo Garcı́a-Sastre, Christopher F. Basler, Robert G. Webster, Florian Krammer, John J. Treanor, Ron A. M. Fouchier, Gavin J. D. Smith, Katherine Kedzierska and Peter C. Doherty and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Megan L. Shaw

54 papers receiving 4.5k citations

Hit Papers

1 papers align trajectories

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan L. Shaw United States	26	2.7k	1.7k	1.3k	1.3k	343	56	4.5k
Darwyn Kobasa Canada	34	3.1k 1.2×	2.2k 1.3×	1.4k 1.1×	874 0.7×	636 1.9×	114	5.1k
John C. Kash United States	29	3.1k 1.2×	1.2k 0.7×	1.7k 1.3×	1.1k 0.8×	579 1.7×	47	4.4k
Rob Lambkin‐Williams United Kingdom	31	3.1k 1.1×	1.4k 0.8×	1.1k 0.9×	1.0k 0.8×	226 0.7×	74	4.5k
John Oxford United Kingdom	39	4.4k 1.6×	1.8k 1.0×	1.6k 1.2×	1.3k 1.0×	518 1.5×	189	6.4k
Hinh Ly United States	34	955 0.4×	1.8k 1.0×	947 0.7×	1.4k 1.1×	185 0.5×	100	4.2k
Nicolas Escriou France	28	1.4k 0.5×	1.5k 0.8×	1.7k 1.3×	830 0.7×	208 0.6×	45	3.8k
Makoto Ozawa Japan	31	3.0k 1.1×	1.3k 0.7×	713 0.5×	988 0.8×	1.1k 3.3×	120	4.1k
Peter Halfmann United States	35	3.0k 1.1×	3.5k 2.0×	1.1k 0.8×	961 0.8×	1.0k 3.0×	97	5.7k
D. Lorne Tyrrell Canada	46	2.9k 1.1×	2.1k 1.2×	1.1k 0.8×	2.3k 1.8×	77 0.2×	206	7.4k

Countries citing papers authored by Megan L. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Megan L. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan L. Shaw. 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 Megan L. Shaw. The network helps show where Megan L. Shaw may publish in the future.

Co-authorship network of co-authors of Megan L. Shaw

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lemmer, Yolandy, Rosamund Chapman, Célia Abolnik, et al.. (2024). Protective efficacy of a plant-produced beta variant rSARS-CoV-2 VLP vaccine in golden Syrian hamsters. Vaccine. 42(4). 738–744. 2 indexed citations

2.

Shaw, Megan L., et al.. (2019). Baloxavir marboxil: the new influenza drug on the market. Current Opinion in Virology. 35. 14–18. 130 indexed citations

3.

Sánchez-Aparicio, María Teresa, et al.. (2018). Paramyxovirus V Proteins Interact with the RIG-I/TRIM25 Regulatory Complex and Inhibit RIG-I Signaling. Journal of Virology. 92(6). 67 indexed citations

4.

Chin, Daniel J., Elena Moreno, Jade Carter, et al.. (2018). Nucleolar Relocalization of RBM14 by Influenza A Virus NS1 Protein. mSphere. 3(6). 8 indexed citations

5.

Dornfeld, Dominik, Thibaut Vausselin, Sira C. Günther, et al.. (2018). SMARCA2-regulated host cell factors are required for MxA restriction of influenza A viruses. Scientific Reports. 8(1). 2092–2092. 14 indexed citations

6.

Shaw, Megan L.. (2017). The Next Wave of Influenza Drugs. ACS Infectious Diseases. 3(10). 691–694. 25 indexed citations

7.

White, Kris M., Paul D. De Jesus, Zhong Chen, et al.. (2014). A Potent Anti-influenza Compound Blocks Fusion through Stabilization of the Prefusion Conformation of the Hemagglutinin Protein. ACS Infectious Diseases. 1(2). 98–109. 23 indexed citations

8.

Ortigoza, Mila B., Oliver Dibben, Jad Maamary, et al.. (2012). A Novel Small Molecule Inhibitor of Influenza A Viruses that Targets Polymerase Function and Indirectly Induces Interferon. PLoS Pathogens. 8(4). e1002668–e1002668. 37 indexed citations

9.

Stertz, Silke & Megan L. Shaw. (2011). Uncovering the global host cell requirements for influenza virus replication via RNAi screening. Microbes and Infection. 13(5). 516–525. 73 indexed citations

10.

Balish, Amanda, Christine Warnes, Shannon Emery, et al.. (2009). Evaluation of rapid influenza diagnostic tests for detection of novel influenza A (H1N1) virus - United States, 2009.. MMWR Morbidity and Mortality Weekly Report. 58(30). 826–829. 231 indexed citations

11.

Ciancanelli, Michael J., Valentina A. Volchkova, Megan L. Shaw, Viktor E. Volchkov, & Christopher F. Basler. (2009). Nipah Virus Sequesters Inactive STAT1 in the Nucleus via a P Gene-Encoded Mechanism. Journal of Virology. 83(16). 7828–7841. 103 indexed citations

12.

Hoffmann, Hans Jürgen, Peter Palese, & Megan L. Shaw. (2008). Modulation of influenza virus replication by alteration of sodium ion transport and protein kinase C activity. Antiviral Research. 80(2). 124–134. 81 indexed citations

13.

Price, Jennifer C., John Rogers, James N. McDougal, et al.. (2008). Gene expression analysis of bromine-induced burns in porcine skin☆. Toxicology Letters. 182(1-3). 69–78. 9 indexed citations

14.

Mitchell, Robert D., et al.. (2005). The geography of education in Britain. Geographical Review. 20(1). 16–20. 1 indexed citations

15.

Shaw, Megan L.. (2004). Increasing inequalities in risk of murder in Britain: trends in the demographic and spatial distribution of murder, 1981?2000. Health & Place. 11(1). 45–54. 34 indexed citations

16.

Shaw, Megan L.. (2001). Health and housing: a lasting relationship. Journal of Epidemiology & Community Health. 55(5). 291–291. 3 indexed citations

17.

Cochrane, Alexandra, et al.. (2000). The Amino Acid Sequence of the PKR‐eIF2α Phosphorylation Homology Domain of Hepatitis C Virus Envelope 2 Protein and Response to Interferon‐α. The Journal of Infectious Diseases. 182(5). 1515–1518. 15 indexed citations

18.

Shaw, Megan L., et al.. (1998). South Africa's urban poor: major victims of crime. 4(1). 11–12. 2 indexed citations

19.

Shaw, Megan L. & Frederic L. Hoch. (1977). Thyroid control over biomembranes IV. Rat heart muscle mitochondria. Journal of Molecular and Cellular Cardiology. 9(9). 749–761. 18 indexed citations

20.

Shaw, Megan L., et al.. (1975). [Basal and spinous cell epitheliomas].. PubMed. 3(6). 471–5. 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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