Suzanne Dawid

1.3k total citations
33 papers, 908 citations indexed

About

Suzanne Dawid is a scholar working on Epidemiology, Microbiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Suzanne Dawid has authored 33 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Epidemiology, 20 papers in Microbiology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Suzanne Dawid's work include Pneumonia and Respiratory Infections (21 papers), Bacterial Infections and Vaccines (19 papers) and Streptococcal Infections and Treatments (12 papers). Suzanne Dawid is often cited by papers focused on Pneumonia and Respiratory Infections (21 papers), Bacterial Infections and Vaccines (19 papers) and Streptococcal Infections and Treatments (12 papers). Suzanne Dawid collaborates with scholars based in United States, United Kingdom and Australia. Suzanne Dawid's co-authors include Jeffrey N. Weiser, Joseph W. St. Geme, Aoife M. Roche, Travis J. Kochan, Stephen J. Barenkamp, David R. Hendrixson, Michael Sebert, Michael E. Watson, Victor J. DiRita and Betsy Foxman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Suzanne Dawid

32 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Dawid United States 18 475 367 261 202 134 33 908
Kate R. Fortney United States 25 387 0.8× 491 1.3× 263 1.0× 152 0.8× 161 1.2× 62 1.4k
Áine Fox Ireland 10 509 1.1× 320 0.9× 276 1.1× 151 0.7× 232 1.7× 14 1.1k
David P. J. Turner United Kingdom 22 537 1.1× 531 1.4× 312 1.2× 97 0.5× 251 1.9× 46 1.2k
Sarah M. Gilliland United Kingdom 9 420 0.9× 193 0.5× 111 0.4× 188 0.9× 141 1.1× 11 807
Andries J. van Tonder United Kingdom 19 713 1.5× 406 1.1× 378 1.4× 168 0.8× 366 2.7× 37 1.3k
Julia S. Bennett United Kingdom 13 549 1.2× 727 2.0× 452 1.7× 77 0.4× 108 0.8× 16 1.3k
Silvia Estevão Netherlands 13 345 0.7× 204 0.6× 164 0.6× 165 0.8× 163 1.2× 22 676
Teresa Street United Kingdom 11 244 0.5× 191 0.5× 284 1.1× 62 0.3× 208 1.6× 16 847
Evan Powell United States 11 370 0.8× 297 0.8× 232 0.9× 88 0.4× 52 0.4× 15 649
Aimee Tan Australia 15 217 0.5× 239 0.7× 210 0.8× 60 0.3× 145 1.1× 35 875

Countries citing papers authored by Suzanne Dawid

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Dawid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Dawid

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Dawid. A scholar is included among the top collaborators of Suzanne Dawid 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 Suzanne Dawid. Suzanne Dawid 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.
Garretto, Andrea, Suzanne Dawid, & Robert J. Woods. (2024). Increasing prevalence of bacteriocin carriage in a 6-year hospital cohort of E. faecium. Journal of Bacteriology. 206(12). e0029424–e0029424. 4 indexed citations
2.
Richardson, J. D., et al.. (2024). The pneumococcal bacteriocin streptococcin B is produced as part of the early competence cascade and promotes intraspecies competition. mBio. 16(2). e0299324–e0299324. 1 indexed citations
3.
Richardson, J. David, et al.. (2022). The Outer Surface Protease, SepM, Is Required for blp Locus Activation in Three of the Four Most Common Pherotypes of Streptococcus pneumoniae. Journal of Bacteriology. 204(11). e0019622–e0019622.
4.
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Yeşilkaya, Hasan, et al.. (2020). The pneumococcal social network. PLoS Pathogens. 16(10). e1008931–e1008931. 22 indexed citations
6.
Dawid, Suzanne, et al.. (2019). DNA methylation from a Type I restriction modification system influences gene expression and virulence in Streptococcus pyogenes. PLoS Pathogens. 15(6). e1007841–e1007841. 42 indexed citations
7.
Dawid, Suzanne, et al.. (2019). Characterization of the Competitive Pneumocin Peptides of Streptococcus pneumoniae. Frontiers in Cellular and Infection Microbiology. 9. 55–55. 14 indexed citations
8.
Dawid, Suzanne, et al.. (2017). Methylation-dependent DNA discrimination in natural transformation of Campylobacter jejuni. Proceedings of the National Academy of Sciences. 114(38). E8053–E8061. 41 indexed citations
9.
Lastours, Victoire de, Ryan E. Malosh, Kirtana Ramadugu, et al.. (2016). Co-colonization byStreptococcus pneumoniaeandStaphylococcus aureusin the throat during acute respiratory illnesses. Epidemiology and Infection. 144(16). 3507–3519. 18 indexed citations
10.
Kochan, Travis J., et al.. (2016). Coordinated Bacteriocin Expression and Competence in Streptococcus pneumoniae Contributes to Genetic Adaptation through Neighbor Predation. PLoS Pathogens. 12(2). e1005413–e1005413. 62 indexed citations
11.
Carey, Alison J., Jason B. Weinberg, Suzanne Dawid, et al.. (2016). Interleukin-17A Contributes to the Control of Streptococcus pyogenes Colonization and Inflammation of the Female Genital Tract. Scientific Reports. 6(1). 26836–26836. 23 indexed citations
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14.
Davis, Gregg S., James M. Hammond, Lixin Zhang, et al.. (2014). Prevalence, distribution, and sequence diversity of hmwA among commensal and otitis media non-typeable Haemophilus influenzae. Infection Genetics and Evolution. 28. 223–232. 12 indexed citations
15.
Davis, Gregg S., Simeone Marino, Carl F. Marrs, et al.. (2014). Phase variation and host immunity against high molecular weight (HMW) adhesins shape population dynamics of nontypeable Haemophilus influenzae within human hosts. Journal of Theoretical Biology. 355. 208–218. 9 indexed citations
16.
Dawid, Suzanne, et al.. (2014). Using the Overlay Assay to Qualitatively Measure Bacterial Production of and Sensitivity to Pneumococcal Bacteriocins. Journal of Visualized Experiments. e51876–e51876. 13 indexed citations
17.
Davis, Brian M., Allison E. Aiello, Suzanne Dawid, et al.. (2012). Influenza and Community-acquired Pneumonia Interactions: The Impact of Order and Time of Infection on Population Patterns. American Journal of Epidemiology. 175(5). 363–367. 22 indexed citations
18.
Shchepetov, Mikhail, Peter V. Adrian, Shabir A. Madhi, et al.. (2011). Conserved Mutations in the Pneumococcal Bacteriocin Transporter Gene, blpA , Result in a Complex Population Consisting of Producers and Cheaters. mBio. 2(5). 54 indexed citations
19.
Zaoutis, Theoklis E., Suzanne Dawid, & Jean O. Kim. (2002). Multidrug-Resistant Organisms in General Pediatrics. Pediatric Annals. 31(5). 313–320. 3 indexed citations
20.
Hendrixson, David R., et al.. (1999). Molecular determinants of the pathogenesis of disease due to non-typableHaemophilus influenzae. FEMS Microbiology Reviews. 23(2). 99–129. 94 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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