Steven Halouska

1.0k total citations
16 papers, 805 citations indexed

About

Steven Halouska is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Steven Halouska has authored 16 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Steven Halouska's work include Metabolomics and Mass Spectrometry Studies (7 papers), Bacterial Genetics and Biotechnology (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Steven Halouska is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Bacterial Genetics and Biotechnology (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Steven Halouska collaborates with scholars based in United States and Colombia. Steven Halouska's co-authors include Robert Powers, Bradley Worley, Raúl G. Barletta, Robert J. Fenton, Marat R. Sadykov, Greg A. Somerville, Bo Zhang, Denise K. Zinniel, Paul D. Fey and Mark T. Werth and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Biochemistry and Journal of Bacteriology.

In The Last Decade

Steven Halouska

16 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Halouska United States 12 590 219 99 80 67 16 805
Vikas Dhingra India 14 419 0.7× 172 0.8× 72 0.7× 27 0.3× 123 1.8× 16 905
Diogo Noin de Oliveira Brazil 20 335 0.6× 99 0.5× 29 0.3× 109 1.4× 73 1.1× 65 1.1k
Hongli Jin China 19 294 0.5× 329 1.5× 125 1.3× 104 1.3× 135 2.0× 72 929
Darrell D. Marshall United States 13 377 0.6× 94 0.4× 59 0.6× 99 1.2× 61 0.9× 20 706
Rukmankesh Mehra India 18 486 0.8× 203 0.9× 35 0.4× 45 0.6× 47 0.7× 42 850
Kelly M. Hines United States 18 609 1.0× 129 0.6× 56 0.6× 108 1.4× 47 0.7× 46 1.1k
M. Luzzana Italy 19 376 0.6× 117 0.5× 101 1.0× 140 1.8× 26 0.4× 50 1.1k
Fabio Bonelli Italy 16 491 0.8× 229 1.0× 51 0.5× 31 0.4× 171 2.6× 43 1.0k
Petra Hentschel Germany 9 431 0.7× 270 1.2× 60 0.6× 42 0.5× 18 0.3× 9 680
M. Nurul Islam United States 19 455 0.8× 167 0.8× 45 0.5× 20 0.3× 85 1.3× 45 925

Countries citing papers authored by Steven Halouska

Since Specialization
Citations

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

Fields of papers citing papers by Steven Halouska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Halouska

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

All Works

16 of 16 papers shown
1.
Marshall, Darrell D., Steven Halouska, Denise K. Zinniel, et al.. (2017). Assessment of Metabolic Changes inMycobacterium smegmatisWild-Type andalrMutant Strains: Evidence of a New Pathway ofd-Alanine Biosynthesis. Journal of Proteome Research. 16(3). 1270–1279. 8 indexed citations
2.
Milkovic, Nicole M., Jiusheng Lin, Steven Halouska, et al.. (2015). Transient sampling of aggregation‐prone conformations causes pathogenic instability of a parkinsonian mutant of DJ‐1 at physiological temperature. Protein Science. 24(10). 1671–1685. 9 indexed citations
3.
Powers, Robert, Steven Halouska, Bo Zhang, et al.. (2013). Revisiting Protocols for the NMR Analysis of Bacterial Metabolomes. PubMed. 3(2). 120–137. 44 indexed citations
4.
Halouska, Steven, Robert J. Fenton, Denise K. Zinniel, et al.. (2013). Metabolomics Analysis Identifiesd-Alanine-d-Alanine Ligase as the Primary Lethal Target ofd-Cycloserine in Mycobacteria. Journal of Proteome Research. 13(2). 1065–1076. 59 indexed citations
5.
Zinniel, Denise K., Robert J. Fenton, Steven Halouska, Robert Powers, & Raúl G. Barletta. (2012). Sample Preparation of <em>Mycobacterium tuberculosis</em> Extracts for Nuclear Magnetic Resonance Metabolomic Studies. Journal of Visualized Experiments. e3673–e3673. 5 indexed citations
6.
Nuxoll, Austin S., Steven Halouska, Marat R. Sadykov, et al.. (2012). CcpA Regulates Arginine Biosynthesis in Staphylococcus aureus through Repression of Proline Catabolism. PLoS Pathogens. 8(11). e1003033–e1003033. 79 indexed citations
7.
Worley, Bradley, Steven Halouska, & Robert Powers. (2012). Utilities for quantifying separation in PCA/PLS-DA scores plots. Analytical Biochemistry. 433(2). 102–104. 162 indexed citations
8.
Zhang, Bo, et al.. (2011). NMR Analysis of a Stress Response Metabolic Signaling Network. Journal of Proteome Research. 10(8). 3743–3754. 42 indexed citations
9.
Halouska, Steven, Robert J. Fenton, Raúl G. Barletta, & Robert Powers. (2011). Predicting the in Vivo Mechanism of Action for Drug Leads Using NMR Metabolomics. ACS Chemical Biology. 7(1). 166–171. 65 indexed citations
10.
Sadykov, Marat R., Bo Zhang, Steven Halouska, et al.. (2010). Using NMR Metabolomics to Investigate Tricarboxylic Acid Cycle-dependent Signal Transduction in Staphylococcus epidermidis. Journal of Biological Chemistry. 285(47). 36616–36624. 41 indexed citations
11.
Werth, Mark T., Steven Halouska, Matthew D. Shortridge, Bo Zhang, & Robert Powers. (2009). Analysis of metabolomic PCA data using tree diagrams. Analytical Biochemistry. 399(1). 58–63. 48 indexed citations
12.
Halouska, Steven, Yuzhen Zhou, Donald Becker, & Robert Powers. (2008). Solution structure of the Pseudomonas putida protein PpPutA45 and its DNA complex. Proteins Structure Function and Bioinformatics. 75(1). 12–27. 11 indexed citations
13.
Sadykov, Marat R., Michael E. Olson, Steven Halouska, et al.. (2008). Tricarboxylic Acid Cycle-Dependent Regulation of Staphylococcus epidermidis Polysaccharide Intercellular Adhesin Synthesis. Journal of Bacteriology. 190(23). 7621–7632. 72 indexed citations
14.
Halouska, Steven, Ofelia Chacón, Robert J. Fenton, et al.. (2007). Use of NMR Metabolomics To Analyze the Targets of d-Cycloserine in Mycobacteria: Role of d-Alanine Racemase. Journal of Proteome Research. 6(12). 4608–4614. 61 indexed citations
15.
Halouska, Steven, et al.. (2006). NMR Metabolic Profiling of Aspergillus nidulans to Monitor Drug and Protein Activity. Journal of Proteome Research. 5(8). 1916–1923. 33 indexed citations
16.
Halouska, Steven & Robert Powers. (2005). Negative impact of noise on the principal component analysis of NMR data. Journal of Magnetic Resonance. 178(1). 88–95. 66 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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