Richard Barnard

570 total citations
20 papers, 278 citations indexed

About

Richard Barnard is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Richard Barnard has authored 20 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Virology, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Richard Barnard's work include HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (4 papers) and Immune Cell Function and Interaction (3 papers). Richard Barnard is often cited by papers focused on HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (4 papers) and Immune Cell Function and Interaction (3 papers). Richard Barnard collaborates with scholars based in United States, United Kingdom and Germany. Richard Barnard's co-authors include Charles Zammit, Jennifer J. Gomm, R. Charles Coombes, Caroline L. Johnston, Sami Shousha, Peter R. Wolenski, Daria J. Hazuda, Aarthi Talla, Rafick‐Pierre Sékaly and Susan Pereira Ribeiro and has published in prestigious journals such as Journal of Virology, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Richard Barnard

18 papers receiving 274 citations

Peers

Richard Barnard

VIROL

IMMUN

EPIDE

Mona Riemenschneider Germany

Bridgette J. Connell France

Jérôme Deval United States

Annette von Delft United Kingdom

Muhammad Hasan United States

Salvatore Dimonte Italy

Margaret Gartland United States

Joachim Büch Germany

H.-G. Kraeusslich Germany

Jared Lindenberger United States

Mona Riemenschneider Germany

Richard Barnard

77 ×0.7

VIROL

76 ×0.9

41 ×0.6

IMMUN

148 ×2.1

41 ×0.7

EPIDE

Citations per year, relative to Richard Barnard Richard Barnard (= 1×) peers Mona Riemenschneider

Countries citing papers authored by Richard Barnard

Since Specialization

Citations

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

Fields of papers citing papers by Richard Barnard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Barnard

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

All Works

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20 of 20 papers shown

Patel, Munjal, Jeanine Ballard, Guoxin Wu, et al.. (2021). In Vitro Pharmacokinetic/Pharmacodynamic Modeling of HIV Latency Reversal by Novel HDAC Inhibitors Using an Automated Platform. SLAS DISCOVERY. 26(5). 642–654. 4 indexed citations

Ruiz, Alba, Dan Ouchi, Beatriz Mothe, et al.. (2019). Antigen Production After Latency Reversal and Expression of Inhibitory Receptors in CD8+ T Cells Limit the Killing of HIV-1 Reactivated Cells. Frontiers in Immunology. 9. 3162–3162. 13 indexed citations

Kulpa, Deanna A., Aarthi Talla, Jessica H. Brehm, et al.. (2019). Differentiation into an Effector Memory Phenotype Potentiates HIV-1 Latency Reversal in CD4⁺T Cells. Journal of Virology. 93(24). 57 indexed citations

Barnard, Richard, Hassina Bilheux, Todd J. Toops, et al.. (2018). Total variation-based neutron computed tomography. Review of Scientific Instruments. 89(5). 53704–53704. 7 indexed citations

Kutchukian, Peter S., Richard Barnard, David M. Tellers, et al.. (2017). CHEMGENIE: integration of chemogenomics data for applications in chemical biology. Drug Discovery Today. 23(1). 151–160. 9 indexed citations

Zhu, Wei, Bao Wang, Richard Barnard, et al.. (2017). Scientific data interpolation with low dimensional manifold model. Journal of Computational Physics. 352. 213–245. 5 indexed citations

Clutton, Genevieve, Yinyan Xu, Pedro L. Baldoni, et al.. (2016). The differential short- and long-term effects of HIV-1 latency-reversing agents on T cell function. Scientific Reports. 6(1). 30749–30749. 51 indexed citations

Barnard, Richard, et al.. (2016). Sensitivity analysis for dose deposition in radiotherapy via a Fokker–Planck model. Mathematical Medicine and Biology A Journal of the IMA. 34(1). dqv039–dqv039. 2 indexed citations

Clason, Christian, et al.. (2016). A convex penalty for switching control of partial differential equations. Systems & Control Letters. 89. 66–73. 12 indexed citations

10.

Kulpa, Deanna A., Sally Yuan, Aarthi Talla, et al.. (2015). Memory CD4 + T cell subsets show differential responses to HIV latency-reversing agents. Journal of Virus Eradication. 1. 2–2. 1 indexed citations

11.

Barnard, Richard, Abha Chopra, Mark Watson, et al.. (2015). Primer ID Ultra-Deep Sequencing Reveals Dynamics of drug Resistance-Associated Variants in Breakthrough Hepatitis C Viruses: Relevance to Treatment Outcome and Resistance Screening. Antiviral Therapy. 21(7). 567–577. 5 indexed citations

12.

Howe, A, Jianmin Long, David C. Nickle, et al.. (2014). Long-term follow-up of patients receiving boceprevir for treatment of chronic hepatitis C. Antiviral Research. 113. 71–78. 19 indexed citations

13.

Lawitz, Eric, Mark Sulkowski, Ira M. Jacobson, et al.. (2013). Characterization of vaniprevir, a hepatitis C virus NS3/4A protease inhibitor, in patients with HCV genotype 1 infection: Safety, antiviral activity, resistance, and pharmacokinetics. Antiviral Research. 99(3). 214–220. 26 indexed citations

14.

Barnard, Richard & Peter R. Wolenski. (2013). Flow Invariance on Stratified Domains. Set-Valued and Variational Analysis. 21(2). 377–403. 12 indexed citations

15.

Jager, Nadia de, Nicholas J. Hudson, Antônio Reverter, et al.. (2010). Effects of tenderness genotypes and of experimental site on the expression of fat and ribosomal module genes. 1 indexed citations

16.

Zammit, Charles, Richard Barnard, Jennifer J. Gomm, et al.. (2001). Altered intracellular localization of fibroblast growth factor receptor 3 in human breast cancer. The Journal of Pathology. 194(1). 27–34. 48 indexed citations

17.

Barnard, Richard, et al.. (2000). FRAGMENT-FIELD ANALYSIS TESTING SYSTEM. Defense Technical Information Center (DTIC). 1 indexed citations

18.

Barnard, Richard, et al.. (1999). Productive application of voltage contrast for detection of optically undetectable defects. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3677. 480–480.

19.

Barnard, Richard, et al.. (1990). Rapid Assessment of Industrial Waste Production Based On Available Employment Statistics. Waste Management & Research The Journal for a Sustainable Circular Economy. 8(1). 139–144. 2 indexed citations

20.

Barnard, Richard, et al.. (1990). Rapid assessment of industrial waste production based on available employment statistics. Waste Management & Research The Journal for a Sustainable Circular Economy. 8(2). 139–144. 3 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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