Brian Reardon

1.4k total citations
23 papers, 357 citations indexed

About

Brian Reardon is a scholar working on Molecular Biology, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Brian Reardon has authored 23 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Materials Chemistry and 5 papers in Mechanical Engineering. Recurrent topics in Brian Reardon's work include Advanced Condensed Matter Physics (4 papers), Powder Metallurgy Techniques and Materials (4 papers) and Glass properties and applications (3 papers). Brian Reardon is often cited by papers focused on Advanced Condensed Matter Physics (4 papers), Powder Metallurgy Techniques and Materials (4 papers) and Glass properties and applications (3 papers). Brian Reardon collaborates with scholars based in United States and United Kingdom. Brian Reardon's co-authors include C. R. Hubbard, Marius Stan, Michael Basson, Carl D. Johnson, Ralph Clover, Leo X. Liu, Lin Sun, Jing Chen, Gary Hardiman and Bethany Westlund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Brian Reardon

23 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Reardon United States 10 155 99 73 42 32 23 357
Nagagireesh Bojanala United States 5 56 0.4× 76 0.8× 27 0.4× 24 0.6× 6 497
Dong Dong China 7 163 1.1× 60 0.6× 48 0.7× 19 0.5× 1 0.0× 19 397
Myeong Chan Jo United States 14 302 1.9× 65 0.7× 9 0.1× 128 3.0× 22 876
Masashi Ishikawa Japan 11 241 1.6× 17 0.2× 36 0.5× 66 1.6× 2 0.1× 41 569
Nahui Kim South Korea 7 99 0.6× 50 0.5× 4 0.1× 30 0.7× 11 679
Warren C. Ruder United States 13 426 2.7× 4 0.0× 26 0.4× 57 1.4× 33 889
Sheng-Wen Chen Taiwan 11 22 0.1× 7 0.1× 39 0.5× 66 1.6× 4 0.1× 38 483
Jialin Zhu China 13 138 0.9× 1 0.0× 102 1.4× 55 1.3× 12 0.4× 31 443
Haibin Zhao China 10 72 0.5× 11 0.1× 64 0.9× 2 0.0× 1 0.0× 60 439
Aida Nureddin United States 12 164 1.1× 2 0.0× 14 0.2× 10 0.2× 18 570

Countries citing papers authored by Brian Reardon

Since Specialization
Citations

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

Fields of papers citing papers by Brian Reardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Reardon

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Reardon. A scholar is included among the top collaborators of Brian Reardon 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 Reardon. Brian Reardon 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.
Reardon, Brian, Zeynep Koşaloğlu, Sinu Paul, Bjoern Peters, & Alessandro Sette. (2021). Allele-Specific Thresholds of Eluted Ligands for T-Cell Epitope Prediction. Molecular & Cellular Proteomics. 20. 100122–100122. 4 indexed citations
2.
Reardon, Brian, Nadejda Beliakova‐Bethell, Celsa A. Spina, et al.. (2015). Dose-responsive gene expression in suberoylanilide hydroxamic acid-treated resting CD4+ T cells. AIDS. 29(17). 2235–2244. 16 indexed citations
3.
Reardon, Brian, Ronald G. Crystal, Denise K. Houston, et al.. (2013). Vitamin D-responsive SGPP2 variants associated with lung cell expression and lung function. BMC Medical Genetics. 14(1). 122–122. 8 indexed citations
4.
Booker, Jane M., et al.. (2006). Engineering Index: An Engineering Certification/Qualification Metric. Military Operations Research. 11(2). 27–44. 8 indexed citations
5.
Crocker, Lisa, Gail D. Lewis Phillips, Brian Reardon, et al.. (2005). Evolution of the MDA-MB-175 breast cancer cell line from a low to a high HER2 expressing tumor line. Cancer Research. 65. 253–253. 1 indexed citations
6.
Reardon, Brian. (2003). Optimizing the Hot Isostatic Pressing Process. Materials and Manufacturing Processes. 18(3). 493–508. 9 indexed citations
7.
Stan, Marius & Brian Reardon. (2003). A Bayesian approach to evaluating the uncertainty of thermodynamic data and phase diagrams. Calphad. 27(3). 319–323. 26 indexed citations
8.
Reardon, Brian, et al.. (2000). Inversion of tantalum micromechanical powder consolidation and sintering models using bayesian inference and genetic algorithms. Acta Materialia. 48(3). 647–658. 6 indexed citations
9.
Liu, Leo X., Jill M. Spoerke, Jing Chen, et al.. (1999). High-Throughput Isolation of Caenorhabditis elegans Deletion Mutants. Genome Research. 9(9). 859–867. 148 indexed citations
10.
Reardon, Brian. (1999). Inversion of micromechanical powder consolidation and sintering models using Bayesian inference and genetic algorithms. Modelling and Simulation in Materials Science and Engineering. 7(6). 1061–1081. 3 indexed citations
11.
Reardon, Brian, Christian R. Lombardo, & Miriam Sander. (1998). DrosophilaRrp1 Domain Structure as Defined by Limited Proteolysis and Biophysical Analyses. Journal of Biological Chemistry. 273(51). 33991–33999. 7 indexed citations
12.
Reardon, Brian & John Kieffer. (1998). Phase stability limits via non-equilibrium normal mode analysis. Philosophical Magazine B. 77(3). 907–924. 2 indexed citations
13.
Reardon, Brian. (1998). Fuzzy logic versus niched Pareto multiobjective genetic algorithm optimization. Modelling and Simulation in Materials Science and Engineering. 6(6). 717–734. 17 indexed citations
14.
Reardon, Brian. (1998). Optimization of densification modelling parameters of beryllium powder using a fuzzy logic based multiobjective genetic algorithm. Modelling and Simulation in Materials Science and Engineering. 6(6). 735–746. 7 indexed citations
15.
Reardon, Brian, et al.. (1995). DNA binding properties of theSaccharomyces cerevisiae DAT1gene product. Nucleic Acids Research. 23(23). 4900–4906. 10 indexed citations
16.
Kieffer, John, et al.. (1995). High-frequency relaxational spectroscopy in liquid borates and silicates. Journal of Non-Crystalline Solids. 183(1-2). 51–60. 20 indexed citations
17.
Kieffer, John, et al.. (1993). Visco-Elastic Relaxations in Alkali Borates and Alkali Silicates. MRS Proceedings. 321. 3 indexed citations
18.
Reardon, Brian, et al.. (1993). A peptide motif that recognizes A.T tracts in DNA.. Proceedings of the National Academy of Sciences. 90(23). 11327–11331. 19 indexed citations
19.
Reardon, Brian & C. R. Hubbard. (1992). A Review of the XRD Data of the Phases Present in the CaO-SrO-CuO System. Powder Diffraction. 7(3). 142–148. 18 indexed citations
20.
Reardon, Brian & C. R. Hubbard. (1992). A Review of the XRD Data of the Phases Present in the CaO-SrO-PbO System. Powder Diffraction. 7(2). 96–98. 11 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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