Deborah Dean

6.0k total citations · 1 hit paper
99 papers, 4.3k citations indexed

About

Deborah Dean is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Deborah Dean has authored 99 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Microbiology, 53 papers in Epidemiology and 17 papers in Molecular Biology. Recurrent topics in Deborah Dean's work include Reproductive tract infections research (77 papers), Urinary Tract Infections Management (48 papers) and Bacterial Identification and Susceptibility Testing (14 papers). Deborah Dean is often cited by papers focused on Reproductive tract infections research (77 papers), Urinary Tract Infections Management (48 papers) and Bacterial Identification and Susceptibility Testing (14 papers). Deborah Dean collaborates with scholars based in United States, United Kingdom and Fiji. Deborah Dean's co-authors include Rebeca M. Plank, Timothy D. Read, João Paulo Gomes, Sandeep J. Joseph, Maria José Borrego, William Bruno, Russell E. Ware, Samir K. Ballas, Lynne Neumayr and Elliott Vichinsky and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Investigation.

In The Last Decade

Deborah Dean

96 papers receiving 4.1k citations

Hit Papers

Causes and Outcomes of the Acute Chest Syndrome in Sickle... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Dean United States 38 2.2k 1.5k 774 653 622 99 4.3k
Stanley M. Spinola United States 35 1.4k 0.6× 1.0k 0.7× 119 0.2× 462 0.7× 627 1.0× 128 3.7k
Wallace A. Clyde United States 37 2.4k 1.1× 3.6k 2.4× 86 0.1× 345 0.5× 177 0.3× 82 5.3k
Svend Birkelund Denmark 37 2.4k 1.1× 1.3k 0.9× 44 0.1× 237 0.4× 932 1.5× 154 3.9k
M.J. Day United Kingdom 32 375 0.2× 606 0.4× 89 0.1× 175 0.3× 363 0.6× 92 3.4k
Koichi Ohno Japan 33 261 0.1× 600 0.4× 90 0.1× 197 0.3× 786 1.3× 259 4.3k
M. La Plaça Italy 35 210 0.1× 1.3k 0.9× 164 0.2× 370 0.6× 831 1.3× 268 4.4k
J F Soothill United Kingdom 33 403 0.2× 639 0.4× 164 0.2× 177 0.3× 775 1.2× 102 4.3k
Richard L. Hodinka United States 36 467 0.2× 1.8k 1.2× 63 0.1× 113 0.2× 450 0.7× 108 3.7k
O. Brad Spiller United Kingdom 36 547 0.3× 1.2k 0.8× 51 0.1× 149 0.2× 392 0.6× 121 3.1k
Evelyne T. Lennette United States 32 93 0.0× 2.2k 1.5× 827 1.1× 698 1.1× 311 0.5× 54 6.0k

Countries citing papers authored by Deborah Dean

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Dean. A scholar is included among the top collaborators of Deborah Dean 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 Deborah Dean. Deborah Dean 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
2.
Seth-Smith, Helena M. B., et al.. (2024). Chlamydia suis undergoes interclade recombination promoting Tet-island exchange. BMC Genomics. 25(1). 724–724.
3.
Greub, Gilbert, Trestan Pillonel, Patrik M. Bavoil, et al.. (2023). Use of gene sequences as type for naming prokaryotes: Recommendations of the international committee on the taxonomy of chlamydiae. New Microbes and New Infections. 54. 101158–101158. 3 indexed citations
4.
Joseph, Sandeep J., et al.. (2023). Patterns of within-host spread of Chlamydia trachomatis between vagina, endocervix and rectum revealed by comparative genomic analysis. Frontiers in Microbiology. 14. 1154664–1154664. 4 indexed citations
5.
Bowden, Katherine E., Sandeep J. Joseph, Noa Ziklo, et al.. (2021). Whole-Genome Enrichment and Sequencing of Chlamydia trachomatis Directly from Patient Clinical Vaginal and Rectal Swabs. mSphere. 6(2). 17 indexed citations
7.
Dean, Deborah, Phillip A. Wadl, Ðenita Hadziabdic, et al.. (2015). Analysis of Genetic Diversity and Population Structure for the Native Tree Viburnum rufidulum Occurring in Kentucky and Tennessee. Journal of the American Society for Horticultural Science. 140(6). 523–531. 7 indexed citations
8.
Batteiger, Byron E., et al.. (2014). Novel Chlamydia trachomatis Strains in Heterosexual Sex Partners, Indianapolis, Indiana, USA. Emerging infectious diseases. 20(11). 1841–1847.
9.
Dean, Deborah, Rosemary S. Turingan, Sandeep J. Joseph, et al.. (2012). A Multiplexed Microfluidic PCR Assay for Sensitive and Specific Point-of-Care Detection of Chlamydia trachomatis. PLoS ONE. 7(12). e51685–e51685. 13 indexed citations
10.
Joseph, Sandeep J., Xavier Didelot, Henry J.C. de Vries, et al.. (2012). Population Genomics of Chlamydia trachomatis: Insights on Drift, Selection, Recombination, and Population Structure. Molecular Biology and Evolution. 29(12). 3933–3946. 75 indexed citations
11.
Dean, Deborah, Phillip A. Wadl, Xinwang Wang, et al.. (2011). Screening and Characterization of 11 Novel Microsatellite Markers from Viburnum dilatatum. HortScience. 46(11). 1456–1459. 6 indexed citations
12.
Dean, Deborah, Phillip A. Wadl, Ðenita Hadziabdic, et al.. (2010). Development of Microsatellite Markers from Crape Myrtle (Lagerstroemia L.). HortScience. 45(5). 842–844. 13 indexed citations
13.
Dean, Deborah, William Bruno, Raymond Wan, et al.. (2009). Predicting Phenotype and Emerging Strains amongChlamydia trachomatisInfections. Emerging infectious diseases. 15(9). 1385–1394. 73 indexed citations
14.
Nunes, Alexandra, et al.. (2007). Comparative Expression Profiling of the Chlamydia trachomatis pmp Gene Family for Clinical and Reference Strains. PLoS ONE. 2(9). e878–e878. 39 indexed citations
15.
Gomes, João Paulo, William Bruno, Alexandra Nunes, et al.. (2006). Evolution ofChlamydia trachomatisdiversity occurs by widespread interstrain recombination involving hotspots. Genome Research. 17(1). 50–60. 99 indexed citations
16.
Shrier, Lydia A., et al.. (2004). Limitations of screening tests for the detection of Chlamydia trachomatis in asymptomatic adolescent and young adult women. American Journal of Obstetrics and Gynecology. 190(3). 654–662. 20 indexed citations
17.
Dean, Deborah, Lynne Neumayr, Samir K. Ballas, et al.. (2003). Chlamydia pneumoniae and Acute Chest Syndrome in Patients With Sickle Cell Disease. Journal of Pediatric Hematology/Oncology. 25(1). 46–55. 38 indexed citations
18.
Dean, Deborah, et al.. (1997). Molecular and mutation trends analyses of omp1 alleles for serovar E of Chlamydia trachomatis. Implications for the immunopathogenesis of disease.. Journal of Clinical Investigation. 99(3). 475–483. 58 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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