Dennis R. Schaberg
- Clinical Biochemistry top 0.1%
- Bacterial Identification and Susceptibility Testing 19
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 16
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- Nosocomial Infections in ICU 7
- Infectious Diseases top 0.2%
- Antimicrobial Resistance in Staphylococcus 37
- Clostridium difficile and Clostridium perfringens research 11
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- Antibiotics Pharmacokinetics and Efficacy 15
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- Streptococcal Infections and Treatments 8
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- Infective Endocarditis Diagnosis and Management 7
Dennis R. Schaberg
91 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Clinical Biochemistry 1.3k
- Molecular Medicine 869
- Critical Care and Intensive Care Medicine 891
- Infectious Diseases 2.9k
- Applied Microbiology and Biotechnology 274
Countries citing papers authored by Dennis R. Schaberg
This map shows the geographic impact of Dennis R. Schaberg'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 Dennis R. Schaberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis R. Schaberg more than expected).
Fields of papers citing papers by Dennis R. Schaberg
This network shows the impact of papers produced by Dennis R. Schaberg. 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 Dennis R. Schaberg. The network helps show where Dennis R. Schaberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dennis R. Schaberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 53 | |
| 2 | 2001 | 42 | |
| 3 | 2000 | 2 | |
| 4 | 1999 | 123 | |
| 5 | 1997 | 4 | |
| 6 | 1997 | 39 | |
| 7 | 1994 | 22 | |
| 8 | 1994 | 27 | |
| 9 | Major Trends in the Microbial Etiiology of Nosocomial Infection | 1991 | 1 |
| 10 | Major trends in the microbial etiology of nosocomial infectionbreakdown → | 1991 | 940 |
| 11 | 1991 | 239 | |
| 12 | 1990 | 7 | |
| 13 | 1988 | 24 | |
| 14 | 1988 | 15 | |
| 15 | 1988 | 75 | |
| 16 | 1988 | 47 | |
| 17 | 1988 | 51 | |
| 18 | 1987 | 60 | |
| 19 | 1985 | 45 | |
| 20 | 1985 | 18 |
About Dennis R. Schaberg
Dennis R. Schaberg is a scholar working on Molecular Medicine, Clinical Biochemistry and Microbiology, having authored 91 papers that have together received 5.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (37 papers), Bacterial Identification and Susceptibility Testing (19 papers), Antibiotic Resistance in Bacteria (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Streptococcal Infections and Treatments (8 papers), Nosocomial Infections in ICU (7 papers) and Infective Endocarditis Diagnosis and Management (7 papers). The work is most often cited by research in Clinical Biochemistry (1.3k citations), Molecular Medicine (869 citations) and Critical Care and Intensive Care Medicine (891 citations). Dennis R. Schaberg has collaborated with scholars based in United States and Vietnam. Frequent co-authors include David H. Culver, Robert P. Gaynes, Carol A. Kauffman, Robert W. Haley, Marcus Zervos, John E. McGowan, Betty A. Forbes, Robert Fekety, Kent Crossley and Carol Chenoweth. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine and Neurology.
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.