Gerald B. Koudelka

1.7k total citations
63 papers, 1.4k citations indexed

About

Gerald B. Koudelka is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Gerald B. Koudelka has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Ecology and 25 papers in Genetics. Recurrent topics in Gerald B. Koudelka's work include Bacteriophages and microbial interactions (37 papers), Bacterial Genetics and Biotechnology (25 papers) and DNA and Nucleic Acid Chemistry (16 papers). Gerald B. Koudelka is often cited by papers focused on Bacteriophages and microbial interactions (37 papers), Bacterial Genetics and Biotechnology (25 papers) and DNA and Nucleic Acid Chemistry (16 papers). Gerald B. Koudelka collaborates with scholars based in United States, Germany and Spain. Gerald B. Koudelka's co-authors include Stephen C. Harrison, Mark Ptashne, Steven A. Mauro, Pehr B. Harbury, William Lainhart, Jason W. Arnold, Loren Dean Williams, Derrick Watkins, Jian Xu and Adam C. Bell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gerald B. Koudelka

63 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald B. Koudelka United States 21 950 542 454 327 189 63 1.4k
Roy David Magnuson United States 11 876 0.9× 470 0.9× 767 1.7× 155 0.5× 79 0.4× 14 1.3k
Tanja M. Gruber United States 12 1.1k 1.2× 461 0.9× 825 1.8× 98 0.3× 107 0.6× 14 1.4k
Nicholas R. De Lay United States 19 1.0k 1.1× 448 0.8× 703 1.5× 150 0.5× 66 0.3× 27 1.3k
L. Buts Belgium 19 940 1.0× 310 0.6× 470 1.0× 251 0.8× 134 0.7× 46 1.4k
Gioacchino Micheli Italy 21 871 0.9× 218 0.4× 466 1.0× 375 1.1× 200 1.1× 33 1.4k
Ellen M. Quardokus United States 18 1.2k 1.3× 475 0.9× 935 2.1× 255 0.8× 86 0.5× 26 1.7k
Jürgen Lassak Germany 20 1.4k 1.5× 343 0.6× 516 1.1× 175 0.5× 57 0.3× 37 1.7k
Byoung‐Mo Koo United States 17 1.4k 1.5× 450 0.8× 916 2.0× 156 0.5× 84 0.4× 26 1.8k
Takeyoshi Miki Japan 23 1.0k 1.1× 263 0.5× 696 1.5× 274 0.8× 171 0.9× 44 1.5k
Aswin Sai Narain Seshasayee India 21 1.3k 1.3× 409 0.8× 728 1.6× 179 0.5× 183 1.0× 60 1.6k

Countries citing papers authored by Gerald B. Koudelka

Since Specialization
Citations

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

Fields of papers citing papers by Gerald B. Koudelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald B. Koudelka. 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 Gerald B. Koudelka. The network helps show where Gerald B. Koudelka may publish in the future.

Co-authorship network of co-authors of Gerald B. Koudelka

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald B. Koudelka. A scholar is included among the top collaborators of Gerald B. Koudelka 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 Gerald B. Koudelka. Gerald B. Koudelka 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.
Chen, Gong, et al.. (2023). A prophage encoded ribosomal RNA methyltransferase regulates the virulence of Shiga-toxin-producing Escherichia coli (STEC). Nucleic Acids Research. 52(2). 856–871. 2 indexed citations
2.
Berger, Michael, et al.. (2019). Transcriptional and Translational Inhibitors Block SOS Response and Shiga Toxin Expression in Enterohemorrhagic Escherichia coli. Scientific Reports. 9(1). 18777–18777. 23 indexed citations
3.
Koudelka, Gerald B., et al.. (2018). Evolution of STEC virulence: Insights from the antipredator activities of Shiga toxin producing E. coli. International Journal of Medical Microbiology. 308(7). 956–961. 17 indexed citations
4.
Clark, Eric M., et al.. (2018). Molecular Mechanisms Governing “Hair-Trigger” Induction of Shiga Toxin-Encoding Prophages. Viruses. 10(5). 228–228. 13 indexed citations
5.
Koudelka, Gerald B., et al.. (2018). Cheating, facilitation and cooperation regulate the effectiveness of phage‐encoded exotoxins as antipredator molecules. MicrobiologyOpen. 8(2). e00636–e00636. 8 indexed citations
6.
Williams, Loren Dean, et al.. (2014). Specific minor groove solvation is a crucial determinant of DNA binding site recognition. Nucleic Acids Research. 42(22). 14053–14059. 10 indexed citations
7.
Arnold, Jason W. & Gerald B. Koudelka. (2013). The T rojan H orse of the microbiological arms race: phage‐encoded toxins as a defence against eukaryotic predators. Environmental Microbiology. 16(2). 454–466. 36 indexed citations
8.
Mauro, Steven A. & Gerald B. Koudelka. (2011). Shiga Toxin: Expression, Distribution, and Its Role in the Environment. Toxins. 3(6). 608–625. 65 indexed citations
9.
Lainhart, William, et al.. (2009). Shiga Toxin as a Bacterial Defense against a Eukaryotic Predator, Tetrahymena thermophila. Journal of Bacteriology. 191(16). 5116–5122. 86 indexed citations
10.
Watkins, Derrick, Chiaolong Hsiao, Kristen Kruger Woods, Gerald B. Koudelka, & Loren Dean Williams. (2008). P22 c2 Repressor−Operator Complex:  Mechanisms of Direct and Indirect Readout. Biochemistry. 47(8). 2325–2338. 56 indexed citations
11.
Koudelka, Gerald B., et al.. (2006). Indirect Readout of DNA Sequence by Proteins: The Roles of DNA Sequence‐Dependent Intrinsic and Extrinsic Forces. Progress in nucleic acid research and molecular biology. 81. 143–177. 39 indexed citations
12.
Mauro, Steven A. & Gerald B. Koudelka. (2004). Monovalent Cations Regulate DNA Sequence Recognition by 434 Repressor. Journal of Molecular Biology. 340(3). 445–457. 12 indexed citations
13.
Xu, Jian & Gerald B. Koudelka. (2001). Repression of Transcription Initiation at 434 PR by 434 Repressor: Effects on Transition of a Closed to an Open Promoter Complex. Journal of Molecular Biology. 309(3). 573–587. 8 indexed citations
14.
Xu, Jian & Gerald B. Koudelka. (2000). DNA Sequence Requirements for the Activation of 434 P RM Transcription by 434 Repressor. DNA and Cell Biology. 19(10). 621–630. 5 indexed citations
15.
Koudelka, Gerald B.. (2000). Cooperativity: Action at a distance in a classic system. Current Biology. 10(19). R704–R707. 6 indexed citations
16.
Xu, Jian & Gerald B. Koudelka. (1998). DNA-based Positive Control Mutants in the Binding Site Sequence of 434 Repressor. Journal of Biological Chemistry. 273(37). 24165–24172. 11 indexed citations
17.
Koudelka, Gerald B.. (1998). Recognition of DNA structure by 434 repressor. Nucleic Acids Research. 26(2). 669–675. 30 indexed citations
18.
Hilchey, Shannon P., Lin Wu, & Gerald B. Koudelka. (1997). Recognition of Nonconserved Bases in the P22 Operator by P22 Repressor Requires Specific Interactions between Repressor and Conserved Bases. Journal of Biological Chemistry. 272(32). 19898–19905. 9 indexed citations
19.
Bell, Adam C. & Gerald B. Koudelka. (1993). Operator Sequence Context Influences Amino Acid-Base-pair Interactions in 434 Repressor-Operator Complexes. Journal of Molecular Biology. 234(3). 542–553. 30 indexed citations
20.
Koudelka, Gerald B.. (1991). Bending of synthetic bacteriophage 434 operators by bacteriophage 434 proteins. Nucleic Acids Research. 19(15). 4115–4119. 27 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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