Alexander Sloutsky

1.1k total citations
11 papers, 461 citations indexed

About

Alexander Sloutsky is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Alexander Sloutsky has authored 11 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Alexander Sloutsky's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (7 papers) and Pneumonia and Respiratory Infections (3 papers). Alexander Sloutsky is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (7 papers) and Pneumonia and Respiratory Infections (3 papers). Alexander Sloutsky collaborates with scholars based in United States, United Kingdom and South Africa. Alexander Sloutsky's co-authors include Christopher M. Sassetti, Barry R. Bloom, Jyothi Rengarajan, Eric J. Rubin, Davinder Kaur, Megan Murray, Ted Cohen, James Gomez, Deborah T. Hung and Mercedes C. Becerra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Alexander Sloutsky

11 papers receiving 449 citations

Peers

Alexander Sloutsky
Alexander Sloutsky
Citations per year, relative to Alexander Sloutsky Alexander Sloutsky (= 1×) peers Krishnamurthy Venkatesan

Countries citing papers authored by Alexander Sloutsky

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Sloutsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Sloutsky

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

All Works

11 of 11 papers shown
1.
Farhat, Maha, Răzvan Sultana, Oleg Iartchouk, et al.. (2016). Genetic Determinants of Drug Resistance in Mycobacterium tuberculosis and Their Diagnostic Value. American Journal of Respiratory and Critical Care Medicine. 194(5). 621–630. 101 indexed citations
2.
Salvatore, Phillip P., Mercedes C. Becerra, Pia Abel zur Wiesch, et al.. (2015). Fitness Costs of Drug Resistance Mutations in Multidrug-ResistantMycobacterium tuberculosis: A Household-Based Case-Control Study. The Journal of Infectious Diseases. 213(1). 149–155. 29 indexed citations
3.
Sloutsky, Alexander, et al.. (2012). Método de nitrato-reductasa (GRIESS) para la detección rápida de la susceptibilidad a isoniacida y rifampicina. 1 indexed citations
4.
Weiner, Brian, James Gomez, Thomas C. Victor, et al.. (2012). Independent Large Scale Duplications in Multiple M. tuberculosis Lineages Overlapping the Same Genomic Region. PLoS ONE. 7(2). e26038–e26038. 26 indexed citations
5.
Barczak, Amy K., James Gomez, Benjamin Kaufmann-Malaga, et al.. (2012). RNA signatures allow rapid identification of pathogens and antibiotic susceptibilities. Proceedings of the National Academy of Sciences. 109(16). 6217–6222. 86 indexed citations
6.
Shiryaev, Sergey A., Piotr Cieplak, Alexander E. Aleshin, et al.. (2011). Matrix metalloproteinase proteolysis of the mycobacterial HSP65 protein as a potential source of immunogenic peptides in human tuberculosis. FEBS Journal. 278(18). 3277–3286. 12 indexed citations
7.
Cohen, Ted, Megan Murray, Ibrahim Abubakar, et al.. (2011). Multiple Introductions of Multidrug-Resistant Tuberculosis into Households, Lima, Peru. Emerging infectious diseases. 17(6). 969–975. 17 indexed citations
8.
Cohen, Ted, Megan Murray, Ibrahim Abubakar, et al.. (2011). Multiple Introductions of Multidrug-Resistant Tuberculosis into Households, Lima, Peru. Emerging infectious diseases. 17(6). 969–975. 19 indexed citations
9.
Kam, K M, et al.. (2010). Determination of critical concentrations of second-line anti-tuberculosis drugs with clinical and microbiological relevance.. PubMed. 14(3). 282–8. 33 indexed citations
10.
Rengarajan, Jyothi, et al.. (2004). The folate pathway is a target for resistance to the drug para‐aminosalicylic acid (PAS) in mycobacteria. Molecular Microbiology. 53(1). 275–282. 122 indexed citations
11.
Hazra, Rohan, Margaret M. Floyd, Alexander Sloutsky, & Robert N. Husson. (2001). Novel Mycobacterium Related to Mycobacterium triplex as a Cause of Cervical Lymphadenitis. Journal of Clinical Microbiology. 39(4). 1227–1230. 15 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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