David A. Bankert

648 total citations
17 papers, 463 citations indexed

About

David A. Bankert is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Clinical Biochemistry. According to data from OpenAlex, David A. Bankert has authored 17 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Clinical Biochemistry. Recurrent topics in David A. Bankert's work include Bacterial Identification and Susceptibility Testing (8 papers), Streptococcal Infections and Treatments (6 papers) and Infective Endocarditis Diagnosis and Management (4 papers). David A. Bankert is often cited by papers focused on Bacterial Identification and Susceptibility Testing (8 papers), Streptococcal Infections and Treatments (6 papers) and Infective Endocarditis Diagnosis and Management (4 papers). David A. Bankert collaborates with scholars based in United States, United Kingdom and Switzerland. David A. Bankert's co-authors include James A. Kellogg, John P. Manzella, Steven L. Shapiro, Jonathan Liss, Michael H. Goodstein, Marie Smith, Vishnu Chaturvedi, Gaby E. Pfyffer, Timothy E. Kiehn and Kelly Parsey and has published in prestigious journals such as Journal of Clinical Microbiology, The Journal of Pediatrics and American Journal of Clinical Pathology.

In The Last Decade

David A. Bankert

17 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Bankert United States 9 270 265 188 82 43 17 463
Barbara Lucignano Italy 7 96 0.4× 183 0.7× 175 0.9× 87 1.1× 63 1.5× 16 370
Kim L. Joho United States 6 100 0.4× 282 1.1× 130 0.7× 171 2.1× 21 0.5× 8 366
Yuliya Zboromyrska Spain 13 89 0.3× 188 0.7× 184 1.0× 173 2.1× 53 1.2× 32 456
Marisa Dolina Switzerland 8 53 0.2× 130 0.5× 139 0.7× 51 0.6× 80 1.9× 10 299
J. K. Oberoi India 8 57 0.2× 169 0.6× 78 0.4× 85 1.0× 25 0.6× 11 304
Elżbieta Stefaniuk Poland 10 77 0.3× 160 0.6× 112 0.6× 143 1.7× 56 1.3× 21 383
Wanita J. Howard United States 8 59 0.2× 211 0.8× 240 1.3× 162 2.0× 94 2.2× 10 544
Amedeo Moretti Italy 10 89 0.3× 184 0.7× 137 0.7× 102 1.2× 38 0.9× 16 334
Annick Billoët France 8 495 1.8× 290 1.1× 67 0.4× 44 0.5× 30 0.7× 10 629
Gérald Touak France 13 482 1.8× 247 0.9× 81 0.4× 171 2.1× 26 0.6× 21 533

Countries citing papers authored by David A. Bankert

Since Specialization
Citations

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

Fields of papers citing papers by David A. Bankert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Bankert. 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 David A. Bankert. The network helps show where David A. Bankert may publish in the future.

Co-authorship network of co-authors of David A. Bankert

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

All Works

17 of 17 papers shown
1.
Bankert, David A., et al.. (2011). Comparison of the BD Affirm VPIII Test to Primary Care and Clinical Laboratory Methods for the Diagnosis of Bacterial Vaginosis and Yeast Vaginitis. Infectious Diseases in Clinical Practice. 19(4). 273–275. 3 indexed citations
2.
Kellogg, James A., et al.. (2001). Identification of Streptococcus pneumoniae Revisited. Journal of Clinical Microbiology. 39(9). 3373–3375. 45 indexed citations
3.
Kellogg, James A., et al.. (2001). Application of the Sherlock Mycobacteria Identification System Using High-Performance Liquid Chromatography in a Clinical Laboratory. Journal of Clinical Microbiology. 39(3). 964–970. 41 indexed citations
4.
Kellogg, James A., John P. Manzella, & David A. Bankert. (2000). Frequency of Low-Level Bacteremia in Children from Birth to Fifteen Years of Age. Journal of Clinical Microbiology. 38(6). 2181–2185. 5 indexed citations
5.
Kellogg, James A., John P. Manzella, & David A. Bankert. (2000). Frequency of Low-Level Bacteremia in Children from Birth to Fifteen Years of Age. Journal of Clinical Microbiology. 38(6). 2181–2185. 116 indexed citations
6.
Kellogg, James A., David A. Bankert, & Vishnu Chaturvedi. (1999). Variation in Microbial Identification System Accuracy for Yeast Identification Depending on Commercial Source of Sabouraud Dextrose Agar. Journal of Clinical Microbiology. 37(6). 2080–2083. 7 indexed citations
7.
Kellogg, James A., David A. Bankert, & Vishnu Chaturvedi. (1998). Limitations of the Current Microbial Identification System for Identification of Clinical Yeast Isolates. Journal of Clinical Microbiology. 36(5). 1197–1200. 21 indexed citations
8.
Kellogg, James A., et al.. (1997). Frequency of low level bacteremia in infants from birth to two months of age. The Pediatric Infectious Disease Journal. 16(4). 381–385. 125 indexed citations
9.
Kellogg, James A., et al.. (1996). Identification of clinical isolates of non-Enterobacteriaceae gram-negative rods by computer-assisted gas-liquid chromatography. Journal of Clinical Microbiology. 34(4). 1003–1006. 5 indexed citations
10.
Kellogg, James A., et al.. (1995). Occurrence and Documentation of Low-Level Bacteremia in a Community Hospital’s Patient Population. American Journal of Clinical Pathology. 104(5). 524–529. 4 indexed citations
11.
Kellogg, James A., et al.. (1994). Clinical comparison of isolator and thiol broth with ESP aerobic and anaerobic bottles for recovery of pathogens from blood. Journal of Clinical Microbiology. 32(9). 2050–2055. 31 indexed citations
12.
Kellogg, James A., et al.. (1994). Justification and Implementation of a Policy Requiring Two Blood Cultures When One Is Ordered. Laboratory Medicine. 25(5). 323–330. 16 indexed citations
13.
Kellogg, James A., et al.. (1991). Detection of group a streptococci by aerobic culture and a new simplified immunoassay in three pediatric practices and a hospital laboratory. Journal of Clinical Laboratory Analysis. 5(5). 367–371. 2 indexed citations
14.
Kellogg, James A., et al.. (1988). Performance of the tandem ICON strep A® enzyme immunoassay system for detection of group a streptococci from oropharyngeal swabs. Journal of Clinical Laboratory Analysis. 2(4). 205–208. 2 indexed citations
15.
Kellogg, James A., et al.. (1987). Comparison of the TestPack Strep A® Enzyme Immunoassay System with Anaerobically Incubated Cultures for Detection of Group A Streptococci from Oropharyngeal Swabs. American Journal of Clinical Pathology. 88(5). 631–634. 14 indexed citations
16.
17.
Kellogg, James A., et al.. (1986). Suitability of a Throat Culture Method for Evaluation of Group A Streptococcal Antigen Detection Kits. American Journal of Clinical Pathology. 86(5). 624–628. 8 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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