Darrell R. Galloway

2.5k total citations
51 papers, 1.6k citations indexed

About

Darrell R. Galloway is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Darrell R. Galloway has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 23 papers in Genetics and 15 papers in Immunology. Recurrent topics in Darrell R. Galloway's work include Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (11 papers) and Toxin Mechanisms and Immunotoxins (11 papers). Darrell R. Galloway is often cited by papers focused on Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (11 papers) and Toxin Mechanisms and Immunotoxins (11 papers). Darrell R. Galloway collaborates with scholars based in United States, United Kingdom and Germany. Darrell R. Galloway's co-authors include Alfred Mateczun, A C Morgan, R. Reisfeld, Sukjoon Park, Richard C. Hedstrom, O R Pavlovskis, Les Baillie, Clement E. Furlong, Stephen H. Leppla and Daniel J. Wozniak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Darrell R. Galloway

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darrell R. Galloway United States 25 1.1k 492 373 292 230 51 1.6k
G. Jonah Rainey United States 19 1.1k 1.0× 531 1.1× 332 0.9× 223 0.8× 326 1.4× 27 1.7k
Esteban Veiga Spain 20 846 0.8× 284 0.6× 368 1.0× 201 0.7× 90 0.4× 34 1.9k
H Domdey Germany 19 768 0.7× 210 0.4× 352 0.9× 143 0.5× 103 0.4× 35 1.3k
Jerry M. Keith United States 22 1.1k 1.0× 349 0.7× 208 0.6× 137 0.5× 157 0.7× 30 1.9k
Joëlle E. Gabay United States 25 1.0k 0.9× 348 0.7× 706 1.9× 159 0.5× 89 0.4× 29 2.2k
John Fikes United States 30 1.9k 1.7× 451 0.9× 1.4k 3.8× 147 0.5× 381 1.7× 49 3.3k
Jürgen Hess Germany 21 348 0.3× 142 0.3× 431 1.2× 181 0.6× 152 0.7× 28 1.3k
Ronald A. Craig United States 17 708 0.6× 217 0.4× 463 1.2× 106 0.4× 74 0.3× 31 1.6k
Katherine Makepeace United Kingdom 28 1.1k 1.0× 473 1.0× 614 1.6× 184 0.6× 237 1.0× 44 2.9k
K Okuda Japan 24 642 0.6× 177 0.4× 862 2.3× 70 0.2× 214 0.9× 66 1.7k

Countries citing papers authored by Darrell R. Galloway

Since Specialization
Citations

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

Fields of papers citing papers by Darrell R. Galloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrell R. Galloway. 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 Darrell R. Galloway. The network helps show where Darrell R. Galloway may publish in the future.

Co-authorship network of co-authors of Darrell R. Galloway

This figure shows the co-authorship network connecting the top 25 collaborators of Darrell R. Galloway. A scholar is included among the top collaborators of Darrell R. Galloway 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 Darrell R. Galloway. Darrell R. Galloway 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.
Galloway, Darrell R., Jiahui Li, Frank W. Falkenberg, et al.. (2024). Co-formulation of the rF1V plague vaccine with depot-formulated cytokines enhances immunogenicity and efficacy to elicit protective responses against aerosol challenge in mice. Frontiers in Immunology. 15. 1277526–1277526. 2 indexed citations
2.
Brenneman, Karen E., Mehmet Doğanay, Stanley Goldman, et al.. (2011). The early humoral immune response toBacillus anthracistoxins in patients infected with cutaneous anthrax. FEMS Immunology & Medical Microbiology. 62(2). 164–172. 24 indexed citations
3.
Legutki, Joseph Barten, et al.. (2007). Analysis of peptide mimotopes of Burkholderia pseudomallei exopolysaccharide. Vaccine. 25(45). 7796–7805. 13 indexed citations
4.
Sozhamannan, Shanmuga, Derrick E. Fouts, Darrell R. Galloway, et al.. (2006). The Bacillus anthracis chromosome contains four conserved, excision-proficient, putative prophages. BMC Microbiology. 6(1). 34–34. 43 indexed citations
5.
Dakappagari, Naveen, et al.. (2005). Intracellular delivery of a novel multiepitope peptide vaccine by an amphipathic peptide carrier enhances cytotoxic T‐cell responses in HLA‐A*201 mice. Journal of Peptide Research. 65(2). 189–199. 18 indexed citations
6.
Kim, Tae-Geum, Darrell R. Galloway, & William H. R. Langridge. (2004). Synthesis and Assembly of Anthrax Lethal Factor-Cholera Toxin B-Subunit Fusion Protein in Transgenic Potato. Molecular Biotechnology. 28(3). 175–184. 18 indexed citations
7.
Zwick, Michael E., David J. Cutler, Timothy D. Read, et al.. (2004). Microarray-based resequencing of multiple Bacillus anthracisisolates. Genome biology. 6(1). R10–R10. 54 indexed citations
8.
Galloway, Darrell R., et al.. (2004). Genetic immunization against anthrax. Vaccine. 22(13-14). 1604–1608. 53 indexed citations
9.
Galloway, Darrell R. & Les Baillie. (2004). DNA vaccines against anthrax. Expert Opinion on Biological Therapy. 4(10). 1661–1667. 16 indexed citations
10.
Legutki, Joseph Barten, et al.. (2002). Enhancement of the protective efficacy of anoprFDNA vaccine againstPseudomonas aeruginosa. FEMS Immunology & Medical Microbiology. 33(2). 89–99. 29 indexed citations
11.
Galloway, Darrell R., et al.. (2001). Protection againstPseudomonas aeruginosaChronic Lung Infection in Mice by Genetic Immunization against Outer Membrane Protein F (OprF) ofP. aeruginosa. Infection and Immunity. 69(5). 3510–3515. 52 indexed citations
12.
Denis-Mize, Kimberly, et al.. (2000). Analysis of immunization with DNA encodingPseudomonas aeruginosaexotoxin A. FEMS Immunology & Medical Microbiology. 27(2). 147–154. 24 indexed citations
13.
Lippolis, John D., et al.. (2000). Pseudomonas Exotoxin-Mediated Delivery of Exogenous Antigens to MHC Class I and Class II Processing Pathways. Cellular Immunology. 203(2). 75–83. 14 indexed citations
14.
Han, Xiang Y. & Darrell R. Galloway. (1995). Active Site Mutations of Pseudomonas aeruginosa Exotoxin A. Journal of Biological Chemistry. 270(2). 679–684. 19 indexed citations
15.
Hiremath, Leena, et al.. (1995). ToxR (RegA) activates Escherichia coli RNA polymerase to initiate transcription of Pseudomonas aeruginosa toxA. Gene. 154(1). 15–21. 6 indexed citations
16.
Galloway, Darrell R.. (1991). Pseudomonas aeruginosa elastase and elastolysis revisited: recent developments. Molecular Microbiology. 5(10). 2315–2321. 95 indexed citations
17.
18.
Darzins, Aldis, et al.. (1990). Revised nucleotide sequence of thelasA gene fromPseudomonas aeruginosaPAO1. Nucleic Acids Research. 18(21). 6444–6444. 11 indexed citations
19.
Galloway, Darrell R., et al.. (1989). Biochemical Analysis of CRM 66. Journal of Biological Chemistry. 264(25). 14869–14873. 8 indexed citations
20.
Morgan, A C, Darrell R. Galloway, & R. Reisfeld. (1981). Production and Characterization of Monoclonal Antibody to a Melanoma Specific Glycoprotein. Hybridoma. 1(1). 27–36. 142 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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