Richard Barfield

2.0k total citations
19 papers, 592 citations indexed

About

Richard Barfield is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Richard Barfield has authored 19 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Richard Barfield's work include Epigenetics and DNA Methylation (6 papers), Genetic Associations and Epidemiology (5 papers) and HIV Research and Treatment (3 papers). Richard Barfield is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Genetic Associations and Epidemiology (5 papers) and HIV Research and Treatment (3 papers). Richard Barfield collaborates with scholars based in United States, Germany and Australia. Richard Barfield's co-authors include Alicia K. Smith, Karen N. Conneely, Varun Kilaru, Torsten Klengel, Elisabeth B. Binder, Michael P. Epstein, Kristina B. Mercer, Kerry J. Ressler, Divya Mehta and Lynn M. Almli and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Annals of Surgery.

In The Last Decade

Richard Barfield

19 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Barfield United States 10 392 174 116 48 41 19 592
Arjun Bhattacharya United States 14 221 0.6× 146 0.8× 96 0.8× 6 0.1× 22 0.5× 26 496
Erin Turbitt Australia 15 125 0.3× 508 2.9× 119 1.0× 3 0.1× 20 0.5× 87 901
A. Pexsters Belgium 16 113 0.3× 67 0.4× 572 4.9× 8 0.2× 16 0.4× 26 950
Tabitha Hendershot United States 10 47 0.1× 75 0.4× 30 0.3× 11 0.2× 32 0.8× 30 404
Amy MacDougall United Kingdom 10 97 0.2× 102 0.6× 38 0.3× 8 0.2× 8 0.2× 28 466
Jon Stene Denmark 21 229 0.6× 666 3.8× 611 5.3× 45 0.9× 6 0.1× 45 1.3k
R Lew United States 18 128 0.3× 414 2.4× 37 0.3× 10 0.2× 4 0.1× 31 752
Alexander M. Morin Canada 13 352 0.9× 83 0.5× 217 1.9× 53 1.3× 21 643
Rachel Horton United Kingdom 10 90 0.2× 186 1.1× 57 0.5× 2 0.0× 9 0.2× 31 440
Sangeetha Mahadevan United States 13 339 0.9× 324 1.9× 192 1.7× 3 0.1× 3 0.1× 29 1.0k

Countries citing papers authored by Richard Barfield

Since Specialization
Citations

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

Fields of papers citing papers by Richard Barfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Barfield

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

All Works

19 of 19 papers shown
1.
2.
Li, Leike, Cody S. Nelson, Richard Barfield, et al.. (2024). Multivalent cytomegalovirus glycoprotein B nucleoside modified mRNA vaccines did not demonstrate a greater antibody breadth. npj Vaccines. 9(1). 38–38. 8 indexed citations
3.
Yin, Li, Guglielmo M. Venturi, Richard Barfield, et al.. (2024). Maternal immunity shapes biomarkers of germinal center development in HIV‐exposed uninfected infants. Frontiers in Immunology. 15. 1443886–1443886. 3 indexed citations
4.
Swaminathan, Aparna, Richard Barfield, Mengqi Zhang, et al.. (2023). Prevalence and significance of clonal hematopoiesis of indeterminate potential in lung transplant recipients. BMC Pulmonary Medicine. 23(1). 414–414. 1 indexed citations
5.
Moris, Dimitrios, Richard Barfield, Cliburn Chan, et al.. (2023). Immune Phenotype and Postoperative Complications After Elective Surgery. Annals of Surgery. 278(6). 873–882. 3 indexed citations
6.
Dennis, Maria, Sarah Valencia, Eleanor C. Semmes, et al.. (2022). Characterization of Plasma Immunoglobulin G Responses in Elite Neutralizers of Human Cytomegalovirus. The Journal of Infectious Diseases. 226(9). 1667–1677. 5 indexed citations
7.
Murdoch, David M., Richard Barfield, Cliburn Chan, et al.. (2022). Neuroimaging and immunological features of neurocognitive function related to substance use in people with HIV. Journal of NeuroVirology. 29(1). 78–93. 5 indexed citations
8.
Chen, Jui‐Lin, Chelsea N. Fries, Stella J. Berendam, et al.. (2022). Self-assembling peptide nanofiber HIV vaccine elicits robust vaccine-induced antibody functions and modulates Fc glycosylation. Science Advances. 8(38). eabq0273–eabq0273. 14 indexed citations
9.
Fries, Chelsea N., Jui‐Lin Chen, Maria Dennis, et al.. (2021). HIV envelope antigen valency on peptide nanofibers modulates antibody magnitude and binding breadth. Scientific Reports. 11(1). 14494–14494. 11 indexed citations
10.
Liu, Zhonghua, Jincheng Shen, Richard Barfield, et al.. (2021). Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies. Journal of the American Statistical Association. 117(537). 67–81. 51 indexed citations
11.
Dong, Xinyuan, Yu‐Ru Su, Richard Barfield, et al.. (2020). A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study. PLoS Genetics. 16(8). e1008947–e1008947. 10 indexed citations
12.
Guptill, Jeffrey T., Richard Barfield, Cliburn Chan, et al.. (2020). Reduced plasmablast frequency is associated with seronegative myasthenia gravis. Muscle & Nerve. 63(4). 577–585. 3 indexed citations
13.
Barfield, Richard, Helian Feng, Alexander Gusev, et al.. (2018). Transcriptome‐wide association studies accounting for colocalization using Egger regression. Genetic Epidemiology. 42(5). 418–433. 54 indexed citations
14.
Barfield, Richard, Jincheng Shen, Allan C. Just, et al.. (2017). Testing for the indirect effect under the null for genome‐wide mediation analyses. Genetic Epidemiology. 41(8). 824–833. 43 indexed citations
15.
Krier, Joel B., Richard Barfield, Robert C. Green, & Peter Kraft. (2016). Reclassification of genetic-based risk predictions as GWAS data accumulate. Genome Medicine. 8(1). 20–20. 18 indexed citations
16.
Barfield, Richard, Lynn M. Almli, Varun Kilaru, et al.. (2014). Accounting for Population Stratification in DNA Methylation Studies. Genetic Epidemiology. 38(3). 231–241. 162 indexed citations
17.
Carmona, Juan J., Richard Barfield, Allan C. Just, et al.. (2013). DNA methylation signatures in the Normative Aging Study: Epigenome-wide association analyses of air pollution exposure, biological aging, metabolism, and lung function decline. BOA (University of Milano-Bicocca). 1 indexed citations
18.
Kilaru, Varun, Richard Barfield, James W. Schroeder, Alicia K. Smith, & Karen N. Conneely. (2012). MethLAB: A graphical user interface package for the analysis of array-based DNA methylation data. Epigenetics. 7(3). 225–229. 36 indexed citations
19.
Barfield, Richard, Varun Kilaru, Alicia K. Smith, & Karen N. Conneely. (2012). CpGassoc: an R function for analysis of DNA methylation microarray data. Bioinformatics. 28(9). 1280–1281. 163 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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