Brian D. Peyser

1.1k total citations
21 papers, 597 citations indexed

About

Brian D. Peyser is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Brian D. Peyser has authored 21 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Pharmacology. Recurrent topics in Brian D. Peyser's work include Fungal and yeast genetics research (5 papers), Bioinformatics and Genomic Networks (4 papers) and Viral Infections and Outbreaks Research (3 papers). Brian D. Peyser is often cited by papers focused on Fungal and yeast genetics research (5 papers), Bioinformatics and Genomic Networks (4 papers) and Viral Infections and Outbreaks Research (3 papers). Brian D. Peyser collaborates with scholars based in United States, Sweden and Malaysia. Brian D. Peyser's co-authors include Forrest Spencer, Joel S. Bader, Jef D. Boeke, Xuewen Pan, Rafael A. Irizarry, Ping Ye, D. Mark Eckley, Marina S. Lee, Chunfa Jie and Adam L. Hughes and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Brian D. Peyser

20 papers receiving 582 citations

Peers

Brian D. Peyser
Lester Carter United Kingdom
Brian D. Peyser
Citations per year, relative to Brian D. Peyser Brian D. Peyser (= 1×) peers Lester Carter

Countries citing papers authored by Brian D. Peyser

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Peyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Peyser. 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 Brian D. Peyser. The network helps show where Brian D. Peyser may publish in the future.

Co-authorship network of co-authors of Brian D. Peyser

This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Peyser. A scholar is included among the top collaborators of Brian D. Peyser 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 Brian D. Peyser. Brian D. Peyser 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.
Kumar, Rohitesh, Rhone K. Akee, Christopher C. Thornburg, et al.. (2024). Structure elucidation, absolute configuration, and biological evaluation of cyclic peroxides from the sponge Plakinastrella sp.. Bioorganic & Medicinal Chemistry Letters. 113. 129963–129963. 1 indexed citations
2.
Akee, Rhone K., Christopher C. Thornburg, Jason R. Evans, et al.. (2024). Antimicrobial bianthrones from the crinoid Heterometra sp.. RSC Advances. 14(51). 38200–38207. 1 indexed citations
3.
Davis, David A., Ashwin Nair, Brian D. Peyser, et al.. (2024). Discovery of a nasal spray steroid, tixocortol, as an inhibitor of SARS-CoV-2 main protease and viral replication. RSC Medicinal Chemistry. 15(12). 4193–4205.
4.
Arends, S J Ryan, Jason R. Evans, Brian D. Peyser, et al.. (2023). Screen for New Antimicrobial Natural Products from the NCI Program for Natural Product Discovery Prefractionated Extract Library. ACS Infectious Diseases. 9(6). 1245–1256. 20 indexed citations
5.
Zhan, Yue, Xiaolei Zhou, Sylvain Peuget, et al.. (2022). Decreased DNA Damage and Improved p53 Specificity of RITA Analogs. Molecular Cancer Therapeutics. 21(10). 1524–1534. 4 indexed citations
6.
Peyser, Brian D., Ann Hermone, Joseph M. Salamoun, et al.. (2019). Specific RITA Modification Produces Hyperselective Cytotoxicity While Maintaining In Vivo Antitumor Efficacy. Molecular Cancer Therapeutics. 18(10). 1765–1774. 5 indexed citations
7.
Burnett, James C., Chaemin Lim, Brian D. Peyser, et al.. (2017). A threonine turnstile defines a dynamic amphiphilic binding motif in the AAA ATPase p97 allosteric binding site. Organic & Biomolecular Chemistry. 15(19). 4096–4114. 13 indexed citations
8.
Kiris, Erkan, James C. Burnett, Jonathan E. Nuss, et al.. (2015). Src Family Kinase Inhibitors Antagonize the Toxicity of Multiple Serotypes of Botulinum Neurotoxin in Human Embryonic Stem Cell-Derived Motor Neurons. Neurotoxicity Research. 27(4). 384–398. 14 indexed citations
10.
Kota, Krishna P., Brett Eaton, Douglas Lane, et al.. (2013). Integrating High-Content Imaging and Chemical Genetics to Probe Host Cellular Pathways Critical for Yersinia Pestis Infection. PLoS ONE. 8(1). e55167–e55167. 7 indexed citations
11.
Spurgers, Kevin B., Brian D. Peyser, Gordon Ruthel, et al.. (2010). Identification of Essential Filovirion-associated Host Factors by Serial Proteomic Analysis and RNAi Screen. Molecular & Cellular Proteomics. 9(12). 2690–2703. 63 indexed citations
12.
Panchal, Rekha G., Steven B. Bradfute, Brian D. Peyser, et al.. (2009). Reduced Levels of Protein Tyrosine Phosphatase CD45 Protect Mice from the Lethal Effects of Ebola Virus Infection. Cell Host & Microbe. 6(2). 162–173. 20 indexed citations
13.
Meluh, Pamela B., Xuewen Pan, Daniel Yuan, et al.. (2008). Analysis of Genetic Interactions on a Genome-Wide Scale in Budding Yeast: Diploid-Based Synthetic Lethality Analysis by Microarray. Methods in molecular biology. 416. 221–247. 8 indexed citations
14.
Peyser, Brian D., Rafael A. Irizarry, & Forrest Spencer. (2008). Statistical Analysis of Fitness Data Determined by TAG Hybridization on Microarrays. Methods in molecular biology. 416. 369–381. 4 indexed citations
15.
Peyser, Brian D.. (2005). Improved statistical analysis of budding yeast TAG microarrays revealed by defined spike-in pools. Nucleic Acids Research. 33(16). e140–e140. 7 indexed citations
16.
Ooi, Siew Loon, Xuewen Pan, Brian D. Peyser, et al.. (2005). Global synthetic-lethality analysis and yeast functional profiling. Trends in Genetics. 22(1). 56–63. 117 indexed citations
17.
Ye, Ping, Brian D. Peyser, Forrest Spencer, & Joel S. Bader. (2005). Commensurate distances and similar motifs in genetic congruence and protein interaction networks in yeast. BMC Bioinformatics. 6(1). 270–270. 17 indexed citations
18.
Eckley, D. Mark, Marina S. Lee, Adam L. Hughes, et al.. (2004). S-Phase Checkpoint Genes Safeguard High-Fidelity Sister Chromatid Cohesion. Molecular Biology of the Cell. 15(4). 1724–1735. 116 indexed citations
19.
Freitas‐Astúa, Juliana, D. E. Purcifull, Jane E. Polston, et al.. (2002). Serological Studies Using Polyclonal Antisera Prepared Against the Viral Coat Protein of Four Begomoviruses Expressed in Escherichia coli. Plant Disease. 86(10). 1109–1114. 15 indexed citations
20.
Pérez, Elena, Stéphanie Rose, Brian D. Peyser, et al.. (2001). Human Immunodeficiency Virus Type 1 Protease Genotype Predicts Immune and Viral Responses to Combination Therapy with Protease Inhibitors (PIs) in PI‐Naive Patients. The Journal of Infectious Diseases. 183(4). 579–588. 28 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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