Keith V. Alsaker

1.1k total citations
7 papers, 855 citations indexed

About

Keith V. Alsaker is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Keith V. Alsaker has authored 7 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Genetics. Recurrent topics in Keith V. Alsaker's work include Clostridium difficile and Clostridium perfringens research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Genomics and Phylogenetic Studies (3 papers). Keith V. Alsaker is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Genomics and Phylogenetic Studies (3 papers). Keith V. Alsaker collaborates with scholars based in United States. Keith V. Alsaker's co-authors include Eleftherios T. Papoutsakis, Carlos J. Paredes, Thomas R. Spitzer, He S. Yang, Christopher Tomas, Jeffrey A. Beamish, Wouter T. Hendriksen, Hendrik P. J. Bonarius and Eleftherios T. Papoutsakis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Reviews Microbiology and Journal of Bacteriology.

In The Last Decade

Keith V. Alsaker

7 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith V. Alsaker United States 7 714 381 186 181 67 7 855
Ralf‐Jörg Fischer Germany 17 683 1.0× 413 1.1× 108 0.6× 116 0.6× 91 1.4× 24 882
Lee D. Mermelstein United States 9 515 0.7× 358 0.9× 185 1.0× 91 0.5× 59 0.9× 10 632
Stefan M. Gaida United States 10 813 1.1× 422 1.1× 192 1.0× 52 0.3× 45 0.7× 11 976
Christopher Tomas United States 5 605 0.8× 391 1.0× 130 0.7× 76 0.4× 66 1.0× 6 669
Daniel J. Petersen United States 19 511 0.7× 235 0.6× 160 0.9× 93 0.5× 89 1.3× 36 929
Muhammad Ehsaan United Kingdom 9 532 0.7× 278 0.7× 161 0.9× 346 1.9× 15 0.2× 11 896
Cuauhtémoc Licona‐Cassani Mexico 14 457 0.6× 157 0.4× 83 0.4× 54 0.3× 26 0.4× 51 699
Michael Y. Kiriukhin Russia 12 270 0.4× 123 0.3× 71 0.4× 64 0.4× 31 0.5× 22 479
Courtney M. Johnson United States 12 285 0.4× 195 0.5× 56 0.3× 92 0.5× 17 0.3× 20 654
Kevin S. Myers United States 14 451 0.6× 120 0.3× 199 1.1× 26 0.1× 33 0.5× 50 700

Countries citing papers authored by Keith V. Alsaker

Since Specialization
Citations

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

Fields of papers citing papers by Keith V. Alsaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith V. Alsaker. 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 Keith V. Alsaker. The network helps show where Keith V. Alsaker may publish in the future.

Co-authorship network of co-authors of Keith V. Alsaker

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

All Works

7 of 7 papers shown
1.
Alsaker, Keith V., Carlos J. Paredes, & Eleftherios T. Papoutsakis. (2009). Metabolite stress and tolerance in the production of biofuels and chemicals: Gene‐expression‐based systems analysis of butanol, butyrate, and acetate stresses in the anaerobe Clostridium acetobutylicum. Biotechnology and Bioengineering. 105(6). 1131–1147. 187 indexed citations
2.
Paredes, Carlos J., Keith V. Alsaker, & Eleftherios T. Papoutsakis. (2005). A comparative genomic view of clostridial sporulation and physiology. Nature Reviews Microbiology. 3(12). 969–978. 250 indexed citations
3.
Alsaker, Keith V., Carlos J. Paredes, & Eleftherios T. Papoutsakis. (2005). Design, optimization and validation of genomic DNA microarrays for examining theClostridium acetobutylicum transcriptome. Biotechnology and Bioprocess Engineering. 10(5). 432–443. 22 indexed citations
4.
Alsaker, Keith V. & Eleftherios T. Papoutsakis. (2005). Transcriptional Program of Early Sporulation and Stationary-Phase Events in Clostridium acetobutylicum. Journal of Bacteriology. 187(20). 7103–7118. 123 indexed citations
5.
Alsaker, Keith V., Thomas R. Spitzer, & Eleftherios T. Papoutsakis. (2004). Transcriptional Analysis of spo0A Overexpression in Clostridium acetobutylicum and Its Effect on the Cell's Response to Butanol Stress. Journal of Bacteriology. 186(7). 1959–1971. 133 indexed citations
6.
Tomas, Christopher, Keith V. Alsaker, Hendrik P. J. Bonarius, et al.. (2003). DNA Array-Based Transcriptional Analysis of Asporogenous, Nonsolventogenic Clostridium acetobutylicum Strains SKO1 and M5. Journal of Bacteriology. 185(15). 4539–4547. 91 indexed citations
7.
Yang, He S., et al.. (2003). A segmental nearest neighbor normalization and gene identification method gives superior results for DNA-array analysis. Proceedings of the National Academy of Sciences. 100(3). 1122–1127. 49 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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