Brian E. Scully
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Resistance in Bacteria 16
-
- Antibiotic Use and Resistance 4
- Co-authors
- Harold C. NeuH. C. NeuDavid R. SpriggsEdward A. SwabbToshiharu HiroseCarlton C. McGregorPhyllis Della‐LattaLarry L. Schulman
- Journals
- Clinical Infectious Diseases (5 papers)The American Journal of Medicine (4 papers)Antimicrobial Agents and Chemotherapy (3 papers)Diagnostic Microbiology and Infectious Disease (3 papers)Circulation (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Brian E. Scully
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 311
- Applied Microbiology and Biotechnology 83
- Microbiology 24
- Pharmacology 393
- Endocrinology 106
Countries citing papers authored by Brian E. Scully
This map shows the geographic impact of Brian E. Scully'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 Brian E. Scully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Scully more than expected).
Fields of papers citing papers by Brian E. Scully
This network shows the impact of papers produced by Brian E. Scully. 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 Brian E. Scully. The network helps show where Brian E. Scully may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian E. Scully, 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 | 2023 | 8 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 7 | |
| 4 | 2016 | 12 | |
| 5 | 2011 | 5 | |
| 6 | 2010 | 34 | |
| 7 | 2007 | 12 | |
| 8 | 2005 | 23 | |
| 9 | 2005 | 14 | |
| 10 | 2003 | 41 | |
| 11 | 2002 | 15 | |
| 12 | 2000 | 69 | |
| 13 | 2000 | 64 | |
| 14 | 1998 | 23 | |
| 15 | 1993 | 141 | |
| 16 | 1991 | 5 | |
| 17 | 1991 | 10 | |
| 18 | 1989 | 10 | |
| 19 | 1988 | 20 | |
| 20 | 1985 | 25 |
About Brian E. Scully
Brian E. Scully is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Microbiology, Pharmacology and Infectious Diseases, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Pneumonia and Respiratory Infections (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Mycobacterium research and diagnosis (5 papers), Transplantation: Methods and Outcomes (4 papers), Antibiotic Use and Resistance (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). The work is most often cited by research in Molecular Medicine (311 citations), Applied Microbiology and Biotechnology (83 citations), Microbiology (24 citations), Pharmacology (393 citations) and Endocrinology (106 citations). Brian E. Scully has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Harold C. Neu, H. C. Neu, David R. Spriggs, Edward A. Swabb, Toshiharu Hirose, Carlton C. McGregor, Phyllis Della‐Latta, Larry L. Schulman, Mehmet C. Öz and Kwung P. Fu. Their work appears in journals such as Clinical Infectious Diseases, The American Journal of Medicine, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease and Circulation.
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.