Michael R. Beard

7.0k total citations · 2 hit papers
84 papers, 5.0k citations indexed

About

Michael R. Beard is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Michael R. Beard has authored 84 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Hepatology, 37 papers in Epidemiology and 24 papers in Infectious Diseases. Recurrent topics in Michael R. Beard's work include Hepatitis C virus research (43 papers), Hepatitis B Virus Studies (26 papers) and Liver Disease Diagnosis and Treatment (20 papers). Michael R. Beard is often cited by papers focused on Hepatitis C virus research (43 papers), Hepatitis B Virus Studies (26 papers) and Liver Disease Diagnosis and Treatment (20 papers). Michael R. Beard collaborates with scholars based in Australia, United States and Japan. Michael R. Beard's co-authors include Karla J. Helbig, Stanley M. Lemon, Kui Li, Steven A. Weinman, Michiari Okuda, Nicholas S. Eyre, Lori Showalter, Frank Scholle, Erin M. McCartney and Masao Honda and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Annals of Internal Medicine.

In The Last Decade

Michael R. Beard

81 papers receiving 4.9k citations

Hit Papers

Mitochondrial injury, oxidative stress, and antioxidant g... 2002 2026 2010 2018 2002 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R. Beard Australia 35 2.2k 2.2k 1.3k 1.2k 925 84 5.0k
Vincent Lotteau France 45 1.3k 0.6× 2.2k 1.0× 2.3k 1.8× 2.0k 1.6× 816 0.9× 111 6.3k
Haitao Guo United States 43 2.6k 1.2× 3.7k 1.7× 1.2k 0.9× 1.5k 1.2× 1.2k 1.3× 114 5.8k
Marcus J. Korth United States 36 1.3k 0.6× 2.1k 1.0× 1.7k 1.3× 1.7k 1.4× 1.2k 1.3× 63 5.6k
Hideki Aizaki Japan 42 3.3k 1.5× 2.9k 1.3× 527 0.4× 1.7k 1.4× 700 0.8× 113 5.5k
Marlène Dreux France 32 2.5k 1.1× 2.6k 1.2× 655 0.5× 1.2k 1.0× 694 0.8× 51 4.8k
Maryline Panis United States 17 1.7k 0.8× 2.1k 0.9× 2.3k 1.7× 1.9k 1.5× 2.9k 3.1× 25 7.2k
Keith Meyer United States 36 2.8k 1.2× 2.4k 1.1× 843 0.6× 1.1k 0.9× 444 0.5× 75 4.4k
Jing‐hsiung James Ou United States 44 2.6k 1.2× 4.3k 2.0× 834 0.6× 2.9k 2.4× 663 0.7× 100 7.6k
Young S. Hahn United States 43 2.0k 0.9× 2.0k 0.9× 2.4k 1.8× 1.1k 0.9× 375 0.4× 92 5.2k
Thomas von Hahn Germany 32 2.2k 1.0× 2.0k 0.9× 431 0.3× 1.0k 0.8× 717 0.8× 105 4.5k

Countries citing papers authored by Michael R. Beard

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Beard. 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 Michael R. Beard. The network helps show where Michael R. Beard may publish in the future.

Co-authorship network of co-authors of Michael R. Beard

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Beard. A scholar is included among the top collaborators of Michael R. Beard 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 Michael R. Beard. Michael R. Beard 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
2.
Beard, Michael R., et al.. (2024). CRISPR activation as a platform to identify interferon stimulated genes with anti-viral function. Innate Immunity. 30(2-4). 40–54. 1 indexed citations
3.
Hoek, Kylie H. Van der, et al.. (2021). Viperin is anti-viral in vitro but is dispensable for restricting dengue virus replication or induction of innate and inflammatory responses in vivo. Journal of General Virology. 102(10). 5 indexed citations
4.
Eyre, Nicholas S., Lynne Turnbull, Cynthia B. Whitchurch, et al.. (2021). Viperin interacts with PEX19 to mediate peroxisomal augmentation of the innate antiviral response. Life Science Alliance. 4(7). e202000915–e202000915. 5 indexed citations
5.
Crosse, Keaton M., Ebony A. Monson, Arti B. Dumbrepatil, et al.. (2020). Viperin binds STING and enhances the type‐I interferon response following dsDNA detection. Immunology and Cell Biology. 99(4). 373–391. 29 indexed citations
7.
Grubor‐Bauk, Branka, Danushka K. Wijesundara, Makutiro G. Masavuli, et al.. (2019). NS1 DNA vaccination protects against Zika infection through T cell–mediated immunity in immunocompetent mice. Science Advances. 5(12). eaax2388–eaax2388. 61 indexed citations
8.
Helbig, Karla J., Keaton M. Crosse, Ebony A. Monson, et al.. (2019). The interferon stimulated gene viperin, restricts Shigella. flexneri in vitro. Scientific Reports. 9(1). 15598–15598. 18 indexed citations
9.
Chen, Cheng, Shannon C. David, Justin Davies, et al.. (2018). Gamma-irradiated rotavirus: A possible whole virus inactivated vaccine. PLoS ONE. 13(6). e0198182–e0198182. 15 indexed citations
10.
Hoek, Kylie H. Van der, Nicholas S. Eyre, Jillian M. Carr, et al.. (2017). Viperin is an important host restriction factor in control of Zika virus infection. Scientific Reports. 7(1). 4475–4475. 90 indexed citations
11.
Eyre, Nicholas S., Amanda L. Aloia, James S. Eddes, et al.. (2016). Phosphorylation of NS5A Serine-235 is essential to hepatitis C virus RNA replication and normal replication compartment formation. Virology. 491. 27–44. 24 indexed citations
12.
Fiches, Guillaume, Nicholas S. Eyre, Amanda L. Aloia, et al.. (2016). HCV RNA traffic and association with NS5A in living cells. Virology. 493. 60–74. 8 indexed citations
13.
Helbig, Karla J., David P. Dimasi, Michael R. Beard, et al.. (2015). Dengue Virus Infection of Primary Endothelial Cells Induces Innate Immune Responses, Changes in Endothelial Cells Function and Is Restricted by Interferon-Stimulated Responses. Journal of Interferon & Cytokine Research. 35(8). 654–665. 31 indexed citations
14.
Tse, Edmund, Karla J. Helbig, Kylie H. Van der Hoek, et al.. (2015). Fatty Acids Induce a Pro-Inflammatory Gene Expression Profile in Huh-7 Cells That Attenuates the Anti-HCV Action of Interferon. Journal of Interferon & Cytokine Research. 35(5). 392–400. 15 indexed citations
15.
Helbig, Karla J. & Michael R. Beard. (2013). The Role of Viperin in the Innate Antiviral Response. Journal of Molecular Biology. 426(6). 1210–1219. 165 indexed citations
16.
Suzuki, Kazuo, Takaomi Ishida, Makoto Yamagishi, et al.. (2011). Transcriptional gene silencing of HIV-1 through promoter targeted RNA is highly specific. RNA Biology. 8(6). 1035–1046. 38 indexed citations
17.
Helbig, Karla J., et al.. (2005). Analysis of ISG Expression in Chronic Hepatitis C Identifies Viperin as a Potential Antiviral Effector *. Hepatology. 42(3). 702–710. 193 indexed citations
18.
Helbig, Karla J., Jacob George, & Michael R. Beard. (2004). A novel I-TAC promoter polymorphic variant is functional in the presence of replicating HCV in vitro. Journal of Clinical Virology. 32(2). 137–143. 14 indexed citations
19.
Helbig, Karla J., et al.. (2004). Expression of the CXCR3 ligand I-TAC by hepatocytes in chronic hepatitis C and its correlation with hepatic inflammation. Hepatology. 39(5). 1220–1229. 100 indexed citations
20.
Lerat, Hervé, Masao Honda, Michael R. Beard, et al.. (2002). Steatosis and liver cancer in transgenic mice expressing the structural and nonstructural proteins of hepatitis C virus. Gastroenterology. 122(2). 352–365. 377 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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