R.J. Zabransky

745 total citations
42 papers, 598 citations indexed

About

R.J. Zabransky is a scholar working on Clinical Biochemistry, Infectious Diseases and Epidemiology. According to data from OpenAlex, R.J. Zabransky has authored 42 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Clinical Biochemistry, 18 papers in Infectious Diseases and 14 papers in Epidemiology. Recurrent topics in R.J. Zabransky's work include Bacterial Identification and Susceptibility Testing (25 papers), Antimicrobial Resistance in Staphylococcus (10 papers) and Antibiotic Resistance in Bacteria (7 papers). R.J. Zabransky is often cited by papers focused on Bacterial Identification and Susceptibility Testing (25 papers), Antimicrobial Resistance in Staphylococcus (10 papers) and Antibiotic Resistance in Bacteria (7 papers). R.J. Zabransky collaborates with scholars based in United States. R.J. Zabransky's co-authors include Vera L. Sutter, Arthur L. Barry, Tracy D. Wilkins, Edward K. L. Chan, Jill A. Johnston, Gail L. Woods, Melvin P. Weinstein, Michael A. Pfaller, Mary Jane Ferraro and Gary V. Doern and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Clinical Orthopaedics and Related Research.

In The Last Decade

R.J. Zabransky

38 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.J. Zabransky United States 14 289 254 139 138 100 42 598
E Molitoris United States 14 191 0.7× 157 0.6× 105 0.8× 136 1.0× 92 0.9× 26 512
Yung-Yuan Kwok United States 11 227 0.8× 166 0.7× 91 0.7× 73 0.5× 124 1.2× 18 445
J. H. Shlaes France 9 252 0.9× 500 2.0× 120 0.9× 93 0.7× 87 0.9× 9 648
J. Naidoo United Kingdom 13 239 0.8× 424 1.7× 136 1.0× 81 0.6× 139 1.4× 16 644
Toyoko Oguri Japan 15 135 0.5× 349 1.4× 229 1.6× 115 0.8× 66 0.7× 85 626
Kathrine Dornbusch Sweden 14 184 0.6× 242 1.0× 153 1.1× 370 2.7× 61 0.6× 41 754
Carol Webster United Kingdom 14 164 0.6× 187 0.7× 131 0.9× 285 2.1× 33 0.3× 17 615
Helen T. Fernandez United States 19 299 1.0× 417 1.6× 242 1.7× 141 1.0× 208 2.1× 26 865
Sharon A. Crawford United States 13 367 1.3× 502 2.0× 226 1.6× 195 1.4× 142 1.4× 27 852
Donna J. Blazevic United States 17 311 1.1× 245 1.0× 215 1.5× 177 1.3× 103 1.0× 62 942

Countries citing papers authored by R.J. Zabransky

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Zabransky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.J. Zabransky. 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 R.J. Zabransky. The network helps show where R.J. Zabransky may publish in the future.

Co-authorship network of co-authors of R.J. Zabransky

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Zabransky. A scholar is included among the top collaborators of R.J. Zabransky 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 R.J. Zabransky. R.J. Zabransky 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.
Zabransky, R.J., et al.. (1997). Methylobacterium spp. from a patient with multiple sclerosis. Clinical Microbiology Newsletter. 19(19). 150–152. 2 indexed citations
2.
Shattuck, Karen E., et al.. (1996). Colonization and infection associated with Malassezia and Candida species in a neonatal unit. Journal of Hospital Infection. 34(2). 123–129. 24 indexed citations
3.
Zabransky, R.J., Anthony R. DiNuzzo, & Gail L. Woods. (1995). Detection of vancomycin resistance in enterococci by the Alamar MIC system. Journal of Clinical Microbiology. 33(4). 791–793. 20 indexed citations
4.
Swenson, Jana M., Nancye C. Clark, Mary Jane Ferraro, et al.. (1994). Development of a standardized screening method for detection of vancomycin-resistant enterococci. Journal of Clinical Microbiology. 32(7). 1700–1704. 86 indexed citations
5.
Zabransky, R.J., et al.. (1994). Detection of vancomycin resistance in enterococci by the vitek AMS system. Diagnostic Microbiology and Infectious Disease. 20(2). 113–116. 13 indexed citations
6.
Zabransky, R.J.. (1989). Revisiting anaerobe susceptibility testing. Clinical Microbiology Newsletter. 11(24). 185–188. 6 indexed citations
7.
Zabransky, R.J., et al.. (1988). A multicenter study of the in vitro antianaerobic activity of cefotetan compared with other antimicrobial agents. The American Journal of Surgery. 155(5). 47–51.
8.
Dunne, W. Michael, et al.. (1986). Propionibacterium avidum as the etiologic agent of splenic abscess. Diagnostic Microbiology and Infectious Disease. 5(1). 87–92. 15 indexed citations
9.
Zabransky, R.J., et al.. (1986). Predicting theSusceptibility ofAnaerobes toCefoperazone, Cefotaxime, andCefoxitin withtheThioglycolate Broth DiskProcedure.
10.
Zabransky, R.J., et al.. (1986). Predicting the susceptibility of anaerobes to cefoperazone, cefotaxime, and cefoxitin with the thioglycolate broth disk procedure. Journal of Clinical Microbiology. 24(2). 181–185. 13 indexed citations
11.
Zabransky, R.J.. (1986). Reply. Clinical Microbiology Newsletter. 8(7). 50–50.
12.
Chan, Edward K. L., et al.. (1985). The Comparative In Vitro Susceptibility of Cefazolin-resistant Organisms to Six Cephalosporins, Four Penicillins, and Three Aminoglycosides. Diagnostic Microbiology and Infectious Disease. 3(6). 525–533. 1 indexed citations
13.
Sutter, Vera L., Arthur L. Barry, Tracy D. Wilkins, & R.J. Zabransky. (1979). Collaborative Evaluation of a Proposed Reference Dilution Method of Susceptibility Testing of Anaerobic Bacteria. Antimicrobial Agents and Chemotherapy. 16(4). 495–502. 100 indexed citations
14.
Dorff, Gerald J., et al.. (1978). Musculoskeletal Infections Due to Mycobactevium Kansasii. Clinical Orthopaedics and Related Research. 136(136). 244–246. 14 indexed citations
15.
Zabransky, R.J., et al.. (1977). Comparative Growth Rates of Selected Anaerobic Species in Four Commonly Used Broth Media. Antimicrobial Agents and Chemotherapy. 11(3). 482–490. 16 indexed citations
16.
Zabransky, R.J., et al.. (1969). Klebsiella, Enterobacter, and Serratia: Biochemical Differentiation and Susceptibility to Ampicillin and Three Cephalosporin Derivatives. Applied Microbiology. 18(2). 198–203. 5 indexed citations
17.
Zabransky, R.J., et al.. (1969). Pyocine Typing of Clinical Strains of Pseudomonas aeruginosa. Applied Microbiology. 17(2). 293–296. 7 indexed citations
18.
Zabransky, R.J., et al.. (1969). Identification of Nonfermenting Gram-negative Bacilli in the Clinical Laboratory. Applied Microbiology. 17(2). 331–332. 2 indexed citations
19.
Zabransky, R.J., et al.. (1969). Klebsiella, Enterobacter , and Serratia : Biochemical Differentiation and Susceptibility to Ampicillin and Three Cephalosporin Derivatives. Applied Microbiology. 18(2). 198–203. 12 indexed citations
20.
Zabransky, R.J., et al.. (1969). Identification of Nonfermenting Gram-negative Bacilli in the Clinical Laboratory. Applied Microbiology. 17(2). 331–332. 3 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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