William B. Brasso

601 total citations
8 papers, 410 citations indexed

About

William B. Brasso is a scholar working on Clinical Biochemistry, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, William B. Brasso has authored 8 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Biochemistry, 4 papers in Molecular Medicine and 2 papers in Infectious Diseases. Recurrent topics in William B. Brasso's work include Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). William B. Brasso is often cited by papers focused on Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). William B. Brasso collaborates with scholars based in United States, Denmark and Germany. William B. Brasso's co-authors include Brandi Limbago, Angella Charnot‐Katsikas, Stephen G. Jenkins, J. Kristie Johnson, David Lonsway, Zabrina Lockett, Patricia J. Simner, April M. Bobenchik, Sanchita Basu Das and Virginia Pierce and has published in prestigious journals such as Journal of Clinical Microbiology and American Journal of Veterinary Research.

In The Last Decade

William B. Brasso

8 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William B. Brasso United States	6	358	192	178	91	62	8	410
K. Wilkinson United Kingdom	6	322 0.9×	182 0.9×	166 0.9×	57 0.6×	45 0.7×	7	401
Daniela Cejas Argentina	12	347 1.0×	132 0.7×	183 1.0×	80 0.9×	90 1.5×	28	458
Trevor Winstanley United Kingdom	4	245 0.7×	130 0.7×	99 0.6×	55 0.6×	48 0.8×	4	348
Angela de Haan Netherlands	6	402 1.1×	186 1.0×	193 1.1×	88 1.0×	94 1.5×	11	467
Leonor Guerriero Argentina	10	489 1.4×	134 0.7×	246 1.4×	107 1.2×	81 1.3×	13	533
Lauraine Gauthier France	12	367 1.0×	124 0.6×	212 1.2×	80 0.9×	84 1.4×	17	448
Desirée Gijón Spain	12	292 0.8×	106 0.6×	127 0.7×	66 0.7×	70 1.1×	14	418
Silvia Bracco Italy	9	337 0.9×	84 0.4×	156 0.9×	78 0.9×	70 1.1×	12	390
Silke Polsfuß Switzerland	8	322 0.9×	93 0.5×	137 0.8×	80 0.9×	74 1.2×	9	443
Diana Doyle Ireland	4	289 0.8×	102 0.5×	169 0.9×	46 0.5×	49 0.8×	6	320

Countries citing papers authored by William B. Brasso

Since Specialization

Citations

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

Fields of papers citing papers by William B. Brasso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Brasso. 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 William B. Brasso. The network helps show where William B. Brasso may publish in the future.

Co-authorship network of co-authors of William B. Brasso

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

All Works

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8 of 8 papers shown

Simner, Patricia J., J. Kristie Johnson, William B. Brasso, et al.. (2017). Multicenter Evaluation of the Modified Carbapenem Inactivation Method and the Carba NP for Detection of Carbapenemase-Producing Pseudomonas aeruginosa and Acinetobacter baumannii. Journal of Clinical Microbiology. 56(1). 48 indexed citations

Pierce, Virginia, Patricia J. Simner, David Lonsway, et al.. (2017). Modified Carbapenem Inactivation Method for Phenotypic Detection of Carbapenemase Production among Enterobacteriaceae. Journal of Clinical Microbiology. 55(8). 2321–2333. 285 indexed citations

Turner, David P. J., et al.. (2017). High-Stringency Evaluation of the Automated BD Phoenix CPO Detect and Rapidec Carba NP Tests for Detection and Classification of Carbapenemases. Journal of Clinical Microbiology. 55(12). 3437–3443. 32 indexed citations

Simjee, Shabbir, Štefan Schwarz, Robert E. Badal, et al.. (2011). VET05-R : Generation, presentation, and application of antimicrobial susceptibility test data for bacteria of animal origin : A Report. 17 indexed citations

Swenson, Jana M., William B. Brasso, Mary Jane Ferraro, et al.. (2009). Correlation of Cefoxitin MICs with the Presence of mecA in Staphylococcus spp. Journal of Clinical Microbiology. 47(6). 1902–1905. 11 indexed citations

Swenson, Jana M., William B. Brasso, Mary Jane Ferraro, et al.. (2007). Detection of Inducible Clindamycin Resistance in Staphylococci by Broth Microdilution Using Erythromycin-Clindamycin Combination Wells. Journal of Clinical Microbiology. 45(12). 3954–3957. 11 indexed citations

Schultze, W. D. & William B. Brasso. (1987). Characterization and identification of Mycobacterium smegmatis in bovine mastitis. American Journal of Veterinary Research. 48(5). 739–742. 4 indexed citations

Schultze, W. D., et al.. (1985). Dairy herd problem with mastitis caused by a rapidly growing Mycobacterium species. American Journal of Veterinary Research. 46(1). 42–47. 2 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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