Aaron A. Best

17.0k total citations · 1 hit paper
32 papers, 1.5k citations indexed

About

Aaron A. Best is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Aaron A. Best has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in Aaron A. Best's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Phylogenetic Studies (6 papers). Aaron A. Best is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Phylogenetic Studies (6 papers). Aaron A. Best collaborates with scholars based in United States, Russia and Greece. Aaron A. Best's co-authors include Matthew DeJongh, Christopher S. Henry, Rick Stevens, Gary J. Olsen, Dmitry A. Rodionov, John Gould, Gregory S. Fraley, Matthew Rycenga, Ross Overbeek and Veronika Vonstein and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Aaron A. Best

29 papers receiving 1.4k citations

Hit Papers

High-throughput generation, optimization and analysis of ... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron A. Best United States 13 1.2k 398 131 118 81 32 1.5k
Martin Dragosits Austria 20 1.8k 1.5× 496 1.2× 91 0.7× 315 2.7× 127 1.6× 25 2.1k
Nor Muhammad Mahadi Malaysia 25 932 0.8× 301 0.8× 305 2.3× 191 1.6× 279 3.4× 117 1.7k
Mahmoud M. Al‐Bassam United States 20 640 0.5× 105 0.3× 187 1.4× 153 1.3× 127 1.6× 25 1.1k
Gabriella Fiorentino Italy 22 549 0.5× 227 0.6× 115 0.9× 112 0.9× 96 1.2× 52 1.1k
Zhongmei Liu China 24 915 0.8× 152 0.4× 147 1.1× 266 2.3× 181 2.2× 73 1.6k
Pep Charusanti United States 19 1.8k 1.5× 365 0.9× 205 1.6× 351 3.0× 137 1.7× 30 2.4k
Xiaojian Gao China 22 656 0.6× 358 0.9× 179 1.4× 34 0.3× 45 0.6× 72 1.5k
Danila Limauro Italy 22 697 0.6× 211 0.5× 140 1.1× 154 1.3× 95 1.2× 51 1.0k
Daniel Machado Portugal 19 1.6k 1.3× 431 1.1× 241 1.8× 153 1.3× 98 1.2× 36 2.0k

Countries citing papers authored by Aaron A. Best

Since Specialization
Citations

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

Fields of papers citing papers by Aaron A. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron A. Best. 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 Aaron A. Best. The network helps show where Aaron A. Best may publish in the future.

Co-authorship network of co-authors of Aaron A. Best

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron A. Best. A scholar is included among the top collaborators of Aaron A. Best 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 Aaron A. Best. Aaron A. Best 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.
Nguyen, Marcus, et al.. (2023). Predicting variable gene content in Escherichia coli using conserved genes. mSystems. 8(4). e0005823–e0005823.
2.
Best, Aaron A., et al.. (2021). Providing a Safe, In-Person, Residential College Experience During the COVID-19 Pandemic. Frontiers in Public Health. 9. 672344–672344. 7 indexed citations
3.
Peterson, Jonathan W., et al.. (2021). A global reconnaissance of particulates and metals/metalloids in untreated drinking water sources. Environmental Monitoring and Assessment. 193(5). 307–307.
4.
Hametner, Markus, et al.. (2019). Sustainable Development in the European Union. Monitoring report on progress towards the SDGs in an EU context (2019 edition). ePubWU Institutional Repository (Vienna University of Economics and Business). 84 indexed citations
5.
Tintle, Nathan, et al.. (2019). Evaluating the efficacy of point-of-use water filtration units in Fiji. Tropical Medicine and Health. 47(1). 48–48. 5 indexed citations
6.
Faria, José P., James J. Davis, Janaka N. Edirisinghe, et al.. (2016). Computing and Applying Atomic Regulons to Understand Gene Expression and Regulation. Frontiers in Microbiology. 7. 1819–1819. 5 indexed citations
8.
Disselkoen, Craig, Kristin A. Koch, Joshua Cape, et al.. (2016). A Bayesian Framework for the Classification of Microbial Gene Activity States. Frontiers in Microbiology. 7. 1191–1191.
9.
Best, Aaron A., et al.. (2015). Cautions about the reliability of pairwise gene correlations based on expression data. Frontiers in Microbiology. 6. 650–650. 8 indexed citations
10.
Ravcheev, Dmitry A., Aaron A. Best, Natalia V. Sernova, et al.. (2013). Genomic reconstruction of transcriptional regulatory networks in lactic acid bacteria. BMC Genomics. 14(1). 94–94. 30 indexed citations
11.
Overbeek, Ross, et al.. (2013). Automated Genome Annotation and Metabolic Model Reconstruction in the SEED and Model SEED. Methods in molecular biology. 985. 17–45. 96 indexed citations
12.
Rodionova, Irina A., Xiaoqing Li, Vera Thiel, et al.. (2013). Comparative genomics and functional analysis of rhamnose catabolic pathways and regulons in bacteria. Frontiers in Microbiology. 4. 407–407. 51 indexed citations
13.
Pope, Welkin H., Deborah Jacobs‐Sera, Aaron A. Best, et al.. (2013). Cluster J Mycobacteriophages: Intron Splicing in Capsid and Tail Genes. PLoS ONE. 8(7). e69273–e69273. 18 indexed citations
14.
Tintle, Nathan, et al.. (2012). Evaluating the consistency of gene sets used in the analysis of bacterial gene expression data. BMC Bioinformatics. 13(1). 193–193. 6 indexed citations
15.
Henry, Christopher S., et al.. (2010). High-throughput generation, optimization and analysis of genome-scale metabolic models. Nature Biotechnology. 28(9). 977–982. 788 indexed citations breakdown →
16.
Tintle, Nathan, Aaron A. Best, Matthew DeJongh, et al.. (2008). Gene set analyses for interpreting microarray experiments on prokaryotic organisms. BMC Bioinformatics. 9(1). 469–469. 11 indexed citations
17.
DeJongh, Matthew, et al.. (2007). Toward the automated generation of genome-scale metabolic networks in the SEED. BMC Bioinformatics. 8(1). 139–139. 104 indexed citations
18.
Best, Aaron A., et al.. (2007). Models of Interdisciplinary Research and Service Learning at Hope College. Scholarly Commons (Embry–Riddle Aeronautical University). 28(2). 18. 3 indexed citations
19.
Best, Aaron A., Hilary G. Morrison, Andrew G. McArthur, Mitchell L. Sogin, & Gary J. Olsen. (2004). Evolution of Eukaryotic Transcription: Insights From the Genome of Giardia lamblia. Genome Research. 14(8). 1537–1547. 75 indexed citations
20.
Best, Aaron A. & Gary J. Olsen. (2001). Similar subunit architecture of archaeal and eukaryal RNA polymerases. FEMS Microbiology Letters. 195(1). 85–90. 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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