Dave Baker

548 total citations
9 papers, 223 citations indexed

About

Dave Baker is a scholar working on Molecular Biology, Endocrinology and Food Science. According to data from OpenAlex, Dave Baker has authored 9 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Endocrinology and 3 papers in Food Science. Recurrent topics in Dave Baker's work include Salmonella and Campylobacter epidemiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Bacteriophages and microbial interactions (2 papers). Dave Baker is often cited by papers focused on Salmonella and Campylobacter epidemiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Bacteriophages and microbial interactions (2 papers). Dave Baker collaborates with scholars based in United Kingdom, Australia and Israel. Dave Baker's co-authors include Anuradha Ravi, Mark J. Pallen, Roberto M. La Ragione, Rachel Gilroy, Evelien M. Adriaenssens, Aharon Oren, Roy R. Chaudhuri, Neil Hall, Sheikh Jarju and Daniel L. Horton and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and BMC Microbiology.

In The Last Decade

Dave Baker

8 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dave Baker United Kingdom 6 114 51 50 44 39 9 223
Vinícius Augusto Carvalho de Abreu Brazil 9 110 1.0× 61 1.2× 57 1.1× 38 0.9× 37 0.9× 21 285
Rachel Gilroy United Kingdom 6 112 1.0× 30 0.6× 49 1.0× 75 1.7× 15 0.4× 8 216
Lorena Mejía Ecuador 10 61 0.5× 35 0.7× 27 0.5× 81 1.8× 37 0.9× 16 259
Martina Florianová Czechia 11 105 0.9× 49 1.0× 57 1.1× 86 2.0× 86 2.2× 21 291
Elizabeth Fernández‐Rendón Mexico 10 85 0.7× 134 2.6× 72 1.4× 40 0.9× 38 1.0× 10 342
Gavin Fenske United States 7 91 0.8× 35 0.7× 41 0.8× 106 2.4× 41 1.1× 10 242
Cristina Merla Italy 8 46 0.4× 33 0.6× 15 0.3× 38 0.9× 75 1.9× 23 178
Hazuki Teshima United States 12 149 1.3× 54 1.1× 68 1.4× 25 0.6× 25 0.6× 28 370
Mario Castillo–Ruiz Chile 11 77 0.7× 67 1.3× 57 1.1× 121 2.8× 17 0.4× 24 275
Matthew Stuart-Edwards Canada 3 130 1.1× 59 1.2× 79 1.6× 42 1.0× 69 1.8× 3 284

Countries citing papers authored by Dave Baker

Since Specialization
Citations

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

Fields of papers citing papers by Dave Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave Baker

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

All Works

9 of 9 papers shown
2.
Kalmár, Lajos, et al.. (2024). Identification of Campylobacter jejuni and Campylobacter coli genes contributing to oxidative stress response using TraDIS analysis. BMC Microbiology. 24(1). 46–46. 3 indexed citations
3.
Turner, A. Keith, Dave Baker, Muhammad Yasir, et al.. (2023). Application of TraDIS to define the core essential genome of Campylobacter jejuni and Campylobacter coli. BMC Microbiology. 23(1). 97–97. 4 indexed citations
4.
Gilroy, Rachel, Anuradha Ravi, Evelien M. Adriaenssens, et al.. (2022). Metagenomic investigation of the equine faecal microbiome reveals extensive taxonomic diversity. PeerJ. 10. e13084–e13084. 21 indexed citations
5.
Hem, Sopheak, Ethan R. Wyrsch, Barbara Drigo, et al.. (2022). Genomic Analysis of Carbapenem-Resistant Comamonas in Water Matrices: Implications for Public Health and Wastewater Treatments. Applied and Environmental Microbiology. 88(13). e0064622–e0064622. 20 indexed citations
6.
Gilroy, Rachel, Anuradha Ravi, María Getino, et al.. (2021). Extensive microbial diversity within the chicken gut microbiome revealed by metagenomics and culture. PeerJ. 9. e10941–e10941. 123 indexed citations
7.
Hem, Sopheak, Veronica M. Jarocki, Dave Baker, et al.. (2021). Genomic analysis of Elizabethkingia species from aquatic environments: Evidence for potential clinical transmission. Current Research in Microbial Sciences. 3. 100083–100083. 17 indexed citations
8.
Nasher, Fauzy, Abdi Elmi, Umer Zeeshan Ijaz, et al.. (2021). MdaB and NfrA, Two Novel Reductases Important in the Survival and Persistence of the Major Enteropathogen Campylobacter jejuni. Journal of Bacteriology. 204(1). e0042121–e0042121. 5 indexed citations
9.
Wyrsch, Ethan R., Monika Dolejská, Marc S. Marenda, et al.. (2021). Genomic comparisons of Escherichia coli ST131 from Australia. Microbial Genomics. 7(12). 30 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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