D. Brian Walton

552 total citations
11 papers, 398 citations indexed

About

D. Brian Walton is a scholar working on Infectious Diseases, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, D. Brian Walton has authored 11 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Statistical and Nonlinear Physics and 3 papers in Genetics. Recurrent topics in D. Brian Walton's work include Antifungal resistance and susceptibility (3 papers), Evolution and Genetic Dynamics (3 papers) and stochastic dynamics and bifurcation (2 papers). D. Brian Walton is often cited by papers focused on Antifungal resistance and susceptibility (3 papers), Evolution and Genetic Dynamics (3 papers) and stochastic dynamics and bifurcation (2 papers). D. Brian Walton collaborates with scholars based in United States. D. Brian Walton's co-authors include Johann Rafelski, Mimi Healy, Joe Huong, Dimitrios P. Kontoyiannis, Timothy C. Reluga, Brianna A. Lam, Reid N. Harris, Koen Visscher, Mark Kot and Jan Medlock and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Microbiology and BMC Genomics.

In The Last Decade

D. Brian Walton

11 papers receiving 390 citations

Peers

D. Brian Walton

ID

SNP

CB

EPIDE

PS

João A. N. Filipe United Kingdom

Kieran J. Sharkey United Kingdom

Zoi Rapti United States

James Keesling United States

Takasar Hussain Pakistan

Hans H. Diebner Germany

Muhammad Ozair Pakistan

Elina Numminen Finland

Klaus Altmann Germany

F. M. G. Magpantay Canada

João A. N. Filipe United Kingdom

D. Brian Walton

296 ×2.8

ID

39 ×0.4

SNP

113 ×1.7

CB

161 ×2.5

EPIDE

410 ×6.8

PS

Citations per year, relative to D. Brian Walton D. Brian Walton (= 1×) peers João A. N. Filipe

Countries citing papers authored by D. Brian Walton

Since Specialization

Citations

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

Fields of papers citing papers by D. Brian Walton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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11 of 11 papers shown

1.

Sun, Cheng, Grace A. Wyngaard, D. Brian Walton, Holly A. Wichman, & Rachel Lockridge Mueller. (2014). Billions of basepairs of recently expanded, repetitive sequences are eliminated from the somatic genome during copepod development. BMC Genomics. 15(1). 186–186. 25 indexed citations

2.

Lam, Brianna A., D. Brian Walton, & Reid N. Harris. (2011). Motile Zoospores of Batrachochytrium dendrobatidis Move Away from Antifungal Metabolites Produced by Amphibian Skin Bacteria. EcoHealth. 8(1). 36–45. 29 indexed citations

3.

Walton, D. Brian, et al.. (2010). An Optimal Strategy for Energy Allocation in a Multiple Resource Environment. Bulletin of Mathematical Biology. 72(5). 1092–1123. 3 indexed citations

4.

Reluga, Timothy C., Rafael Meza, D. Brian Walton, & Alison P. Galvani. (2007). Reservoir interactions and disease emergence. Theoretical Population Biology. 72(3). 400–408. 21 indexed citations

5.

Wise, Mark G., Mimi Healy, Rebecca J. Smith, et al.. (2007). Species identification and strain differentiation of clinical Candida isolates using the DiversiLab system of automated repetitive sequence-based PCR. Journal of Medical Microbiology. 56(6). 778–787. 35 indexed citations

6.

Healy, Mimi, D. Brian Walton, Joe Huong, et al.. (2005). Use of the DiversiLab System for Species and Strain Differentiation of Fusarium Species Isolates. Journal of Clinical Microbiology. 43(10). 5278–5280. 50 indexed citations

7.

Seol, Yeonee, Koen Visscher, & D. Brian Walton. (2004). Suppression of Noise in a Noisy Optical Trap. Physical Review Letters. 93(16). 160602–160602. 11 indexed citations

8.

Walton, D. Brian & Koen Visscher. (2004). Noise suppression and spectral decomposition for state-dependent noise in the presence of a stationary fluctuating input. Physical Review E. 69(5). 51110–51110. 13 indexed citations

9.

Kot, Mark, Jan Medlock, Timothy C. Reluga, & D. Brian Walton. (2004). Stochasticity, invasions, and branching random walks. Theoretical Population Biology. 66(3). 175–184. 40 indexed citations

10.

Healy, Mimi, et al.. (2004). Identification to the Species Level and Differentiation between Strains of Aspergillus Clinical Isolates by Automated Repetitive-Sequence-Based PCR. Journal of Clinical Microbiology. 42(9). 4016–4024. 63 indexed citations

11.

Walton, D. Brian & Johann Rafelski. (2000). Equilibrium Distribution of Heavy Quarks in Fokker-Planck Dynamics. Physical Review Letters. 84(1). 31–34. 108 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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