Beverly K. Dyas

596 total citations
18 papers, 482 citations indexed

About

Beverly K. Dyas is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Beverly K. Dyas has authored 18 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Beverly K. Dyas's work include Protein Tyrosine Phosphatases (4 papers), Bacillus and Francisella bacterial research (4 papers) and T-cell and B-cell Immunology (3 papers). Beverly K. Dyas is often cited by papers focused on Protein Tyrosine Phosphatases (4 papers), Bacillus and Francisella bacterial research (4 papers) and T-cell and B-cell Immunology (3 papers). Beverly K. Dyas collaborates with scholars based in United States, Sri Lanka and Cuba. Beverly K. Dyas's co-authors include Robert G. Ulrich, Sina Bavari, Rainer G. Ulrich, Joanne Huang, Vincent J. Sullivan, John S. Lee, Noel G. Harvey, John A. Mikszta, Kamal U. Saikh and Teri L. Kissner and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Beverly K. Dyas

17 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beverly K. Dyas United States 12 188 177 144 83 55 18 482
Paul Stickings United Kingdom 15 150 0.8× 115 0.6× 96 0.7× 44 0.5× 42 0.8× 37 483
Jianmei Yu United States 12 104 0.6× 304 1.7× 116 0.8× 141 1.7× 100 1.8× 13 557
Shari A. Lofthouse Australia 16 190 1.0× 252 1.4× 51 0.4× 70 0.8× 56 1.0× 23 487
Migena Bregu United Kingdom 10 184 1.0× 107 0.6× 118 0.8× 22 0.3× 77 1.4× 11 408
Yimei Jia Canada 14 170 0.9× 183 1.0× 73 0.5× 66 0.8× 75 1.4× 24 445
Francesca Ferrara United Kingdom 16 207 1.1× 268 1.5× 339 2.4× 71 0.9× 408 7.4× 30 874
Olga Ophorst Netherlands 11 236 1.3× 98 0.6× 124 0.9× 40 0.5× 73 1.3× 12 496
Anto Vrdoljak Ireland 11 138 0.7× 219 1.2× 63 0.4× 504 6.1× 87 1.6× 19 754
S. K. ATTAH‐POKU Canada 10 151 0.8× 111 0.6× 52 0.4× 25 0.3× 113 2.1× 16 396
Naoto Yoshino Japan 14 151 0.8× 288 1.6× 131 0.9× 25 0.3× 146 2.7× 42 619

Countries citing papers authored by Beverly K. Dyas

Since Specialization
Citations

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

Fields of papers citing papers by Beverly K. Dyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beverly K. Dyas. 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 Beverly K. Dyas. The network helps show where Beverly K. Dyas may publish in the future.

Co-authorship network of co-authors of Beverly K. Dyas

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

All Works

18 of 18 papers shown
1.
Lountos, G.T., Sreejith Raran‐Kurussi, Beverly K. Dyas, et al.. (2018). High-resolution crystal structures of the D1 and D2 domains of protein tyrosine phosphatase epsilon for structure-based drug design. Acta Crystallographica Section D Structural Biology. 74(10). 1015–1026. 2 indexed citations
2.
Natesan, Mohan, Sz‐Wei Wu, Stig M. R. Jensen, et al.. (2018). A Smartphone-Based Rapid Telemonitoring System for Ebola and Marburg Disease Surveillance. ACS Sensors. 4(1). 61–68. 21 indexed citations
3.
Natesan, Mohan, Enoka Corea, Beverly K. Dyas, et al.. (2017). Calprotectin as a Biomarker for Melioidosis Disease Progression and Management. Journal of Clinical Microbiology. 55(4). 1205–1210. 10 indexed citations
5.
Tropea, Joseph E., G.T. Lountos, Beverly K. Dyas, et al.. (2015). Phosphotyrosine Substrate Sequence Motifs for Dual Specificity Phosphatases. PLoS ONE. 10(8). e0134984–e0134984. 8 indexed citations
6.
D'Souza, Ajit Joseph M., Kevin D. Mar, Joanne Huang, et al.. (2012). Rapid Deamidation of Recombinant Protective Antigen when Adsorbed on Aluminum Hydroxide Gel Correlates with Reduced Potency of Vaccine. Journal of Pharmaceutical Sciences. 102(2). 454–461. 33 indexed citations
7.
Lountos, G.T., Beverly K. Dyas, Sung‐Eun Kim, et al.. (2011). Utilization of Nitrophenylphosphates and Oxime-Based Ligation for the Development of Nanomolar Affinity Inhibitors of the Yersinia pestis Outer Protein H (YopH) Phosphatase. Journal of Medicinal Chemistry. 54(8). 2933–2943. 39 indexed citations
8.
Liu, Fa, Ramin M. Hakami, Beverly K. Dyas, et al.. (2010). A rapid oxime linker-based library approach to identification of bivalent inhibitors of the Yersinia pestis protein-tyrosine phosphatase, YopH. Bioorganic & Medicinal Chemistry Letters. 20(9). 2813–2816. 18 indexed citations
9.
Huang, Joanne, John A. Mikszta, Ge Jiang, et al.. (2007). Intranasal Administration of Dry Powder Anthrax Vaccine Provides Protection Against Lethal Aerosol Spore Challenge. Human Vaccines. 3(3). 90–93. 32 indexed citations
10.
Saikh, Kamal U., Teri L. Kissner, Beverly K. Dyas, et al.. (2006). Human Cytolytic T Cell Recognition ofYersinia pestisVirulence Proteins That Target Innate Immune Responses. The Journal of Infectious Diseases. 194(12). 1753–1760. 7 indexed citations
11.
Mikszta, John A., John P. Dekker, Noel G. Harvey, et al.. (2006). Microneedle-Based Intradermal Delivery of the Anthrax Recombinant Protective Antigen Vaccine. Infection and Immunity. 74(12). 6806–6810. 87 indexed citations
12.
Świętnicki, Wiesław, et al.. (2003). Zinc Binding and Dimerization of Streptococcus pyogenes Pyrogenic Exotoxin C Are Not Essential for T-cell Stimulation. Journal of Biological Chemistry. 278(11). 9885–9895. 16 indexed citations
13.
Boles, James W., M. Louise M. Pitt, Ross D. LeClaire, et al.. (2003). Generation of protective immunity by inactivated recombinant staphylococcal enterotoxin B vaccine in nonhuman primates and identification of correlates of immunity. Clinical Immunology. 108(1). 51–59. 59 indexed citations
14.
Saikh, Kamal U., Beverly K. Dyas, Teri L. Kissner, & Robert G. Ulrich. (2003). CD56+-T-Cell Responses to Bacterial Superantigens and Immune Recognition of Attenuated Vaccines. Clinical and Vaccine Immunology. 10(6). 1065–1073. 9 indexed citations
16.
Lee, John S., et al.. (2002). Immune Protection against Staphylococcal Enterotoxin–Induced Toxic Shock by Vaccination with a Venezuelan Equine Encephalitis Virus Replicon. The Journal of Infectious Diseases. 185(8). 1192–1196. 31 indexed citations
17.
Bavari, Sina, Beverly K. Dyas, & Rainer G. Ulrich. (1996). Superantigen Vaccines: A Comparative Study of Genetically Attenuated Receptor-Binding Mutants of Staphylococcal Enterotoxin A. The Journal of Infectious Diseases. 174(2). 338–345. 55 indexed citations
18.
Hudson, C. S., Beverly K. Dyas, & John E. Rash. (1982). Changes in number and distribution of orthogonal arrays during postnatal muscle development. Developmental Brain Research. 4(1). 91–101. 12 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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