Jeffrey Driscoll

3.0k total citations
36 papers, 1.1k citations indexed

About

Jeffrey Driscoll is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Jeffrey Driscoll has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 33 papers in Epidemiology and 20 papers in Surgery. Recurrent topics in Jeffrey Driscoll's work include Tuberculosis Research and Epidemiology (34 papers), Mycobacterium research and diagnosis (32 papers) and Infectious Diseases and Tuberculosis (13 papers). Jeffrey Driscoll is often cited by papers focused on Tuberculosis Research and Epidemiology (34 papers), Mycobacterium research and diagnosis (32 papers) and Infectious Diseases and Tuberculosis (13 papers). Jeffrey Driscoll collaborates with scholars based in United States, United Kingdom and Russia. Jeffrey Driscoll's co-authors include Barry N. Kreiswirth, Harry Taber, Max Salfinger, Dick van Soolingen, Natalia Kurepina, Pablo Bifani, Kristin P. Bennett, Sonal S. Munsiff, Michael McGarry and Kristin Kremer and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and American Journal of Epidemiology.

In The Last Decade

Jeffrey Driscoll

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Driscoll United States 20 957 899 557 181 51 36 1.1k
Maryse Fauville‐Dufaux Belgium 16 764 0.8× 780 0.9× 364 0.7× 100 0.6× 35 0.7× 27 910
Valeriu Crudu United States 19 867 0.9× 751 0.8× 308 0.6× 202 1.1× 31 0.6× 55 1.0k
Tracy Dalton United States 11 701 0.7× 521 0.6× 195 0.4× 154 0.9× 20 0.4× 16 831
Joyce Wolfe Canada 18 685 0.7× 904 1.0× 195 0.4× 251 1.4× 64 1.3× 36 1.1k
Sophia B. Georghiou United States 14 671 0.7× 589 0.7× 228 0.4× 185 1.0× 33 0.6× 32 799
Nora Morcillo Argentina 18 710 0.7× 674 0.7× 227 0.4× 144 0.8× 23 0.5× 46 819
Florian Wölbeling Germany 6 256 0.3× 236 0.3× 122 0.2× 187 1.0× 36 0.7× 8 487
Aina Sievers Australia 14 606 0.6× 811 0.9× 256 0.5× 81 0.4× 21 0.4× 28 942
Kylie A. Farrow Australia 8 533 0.6× 237 0.3× 100 0.2× 109 0.6× 24 0.5× 8 629
Adwoa Asante-Poku Ghana 17 507 0.5× 551 0.6× 255 0.5× 74 0.4× 18 0.4× 55 671

Countries citing papers authored by Jeffrey Driscoll

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Driscoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Driscoll

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Driscoll. A scholar is included among the top collaborators of Jeffrey Driscoll 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 Jeffrey Driscoll. Jeffrey Driscoll 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.
Yakrus, Mitchell A., et al.. (2016). Molecular and Growth-Based Drug Susceptibility Testing ofMycobacterium tuberculosisComplex for Ethambutol Resistance in the United States. SHILAP Revista de lepidopterología. 2016. 1–5. 13 indexed citations
2.
Yakrus, Mitchell A., et al.. (2014). Concordance between Molecular and Phenotypic Testing of Mycobacterium tuberculosis Complex Isolates for Resistance to Rifampin and Isoniazid in the United States. Journal of Clinical Microbiology. 52(6). 1932–1937. 25 indexed citations
3.
Driscoll, Jeffrey. (2009). Spoligotyping for Molecular Epidemiology of the Mycobacterium tuberculosis Complex. Methods in molecular biology. 551. 117–128. 63 indexed citations
4.
5.
Driver, Cynthia R., Michelle Macaraig, Peter D. McElroy, et al.. (2006). Which Patients' Factors Predict the Rate of Growth of Mycobacterium tuberculosis Clusters in an Urban Community?. American Journal of Epidemiology. 164(1). 21–31. 13 indexed citations
6.
Driscoll, Jeffrey, et al.. (2006). Identifying Mycobacterium tuberculosis complex strain families using spoligotypes. Infection Genetics and Evolution. 6(6). 491–504. 105 indexed citations
7.
Driver, Cynthia R., et al.. (2006). Molecular epidemiology of tuberculosis after declining incidence, New York City, 2001–2003. Epidemiology and Infection. 135(4). 634–643. 18 indexed citations
8.
Smith, Noel H., Kristin Kremer, Jacqueline Inwald, et al.. (2005). Ecotypes of the Mycobacterium tuberculosis complex. Journal of Theoretical Biology. 239(2). 220–225. 139 indexed citations
9.
Larson, Janet L., Lauren A. Lambert, Rachel L. Stricof, et al.. (2003). Potential Nosocomial Exposure toMycobacterium tuberculosisFrom a Bronchoscope. Infection Control and Hospital Epidemiology. 24(11). 825–830. 31 indexed citations
10.
Nivin, Beth, et al.. (2002). Sputum Induction Problems Identified Through Genetic Fingerprinting. Infection Control and Hospital Epidemiology. 23(10). 580–583. 3 indexed citations
11.
Miller, Ann C., Robert Suruki, Sue C. Etkind, et al.. (2002). Genotyping Analyses of Tuberculosis Cases in U.S.- and Foreign-Born Massachusetts Residents. Emerging infectious diseases. 8(11). 1239–1245. 25 indexed citations
12.
Miller, Ann C., Edward A. Nardell, Sue C. Etkind, et al.. (2002). Estimated Costs of False Laboratory Diagnoses of Tuberculosis in Three Patients. Emerging infectious diseases. 8(11). 1264–1270. 24 indexed citations
13.
Munsiff, Sonal S., Beth Nivin, Jiehui Li, et al.. (2002). Molecular Epidemiology of Multidrug-Resistant Tuberculosis, New York City, 1995–1997. Emerging infectious diseases. 8(11). 1230–1238. 35 indexed citations
14.
Bifani, Pablo, Barun Mathema, Soraya L. Moghazeh, et al.. (2001). Molecular Identification of Streptomycin MonoresistantMycobacterium tuberculosisRelated to Multidrug-Resistant W Strain. Emerging infectious diseases. 7(5). 842–848. 1 indexed citations
15.
Bifani, Pablo, Barun Mathema, Soraya L. Moghazeh, et al.. (2001). Molecular Identification of Streptomycin MonoresistantMycobacterium tuberculosisRelated to Multidrug-Resistant W Strain. Emerging infectious diseases. 7(5). 842–848. 27 indexed citations
16.
Bifani, Pablo, et al.. (2000). Molecular Characterization of Mycobacterium tuberculosis H37Rv/Ra Variants: Distinguishing the Mycobacterial Laboratory Strain†. Journal of Clinical Microbiology. 38(9). 3200–3204. 34 indexed citations
17.
Fontanarosa, Phil, Pablo Bifani, Bo Shopsin, et al.. (2000). Molecular Epidemiology and Tuberculosis Control—Reply. JAMA. 284(3). 306–306. 1 indexed citations
18.
Nivin, Beth, Jeffrey Driscoll, Tom Glaser, Pablo Bifani, & Sonal S. Munsiff. (2000). Use of Spoligotype Analysis to Detect Laboratory Cross-Contamination. Infection Control and Hospital Epidemiology. 21(8). 525–527. 15 indexed citations
19.
Salfinger, Max, Yvonne M. Hale, & Jeffrey Driscoll. (1998). Diagnostic Tools in Tuberculosis. Respiration. 65(3). 163–170. 23 indexed citations
20.
Hill, Kevin P., et al.. (1995). Structural organization of a Bacillus subtilis operon encoding menaquinone biosynthetic enzymes. Gene. 167(1-2). 105–109. 20 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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