Brian E. Scully

59 papers receiving 1.6k citations

Peers

Brian E. Scully
Comparison fields: 5 of 80
  • Applied Microbiology and Biotechnology 88
  • Molecular Medicine 209
  • Pharmacology 427
  • Microbiology 23
  • Endocrinology 75
Replace Naoyuki Miyashita with:
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Ines Zollner‐Schwetz Austria
Yoshihito Niki Japan
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Michael L. Corrado United States
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I. M. Hoepelman Netherlands
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Citations per year

Countries citing papers authored by Brian E. Scully

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Brian E. Scully Line = papers co-authored together Brian E. Scully links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993153
2 1986140
3
The influence of infection on survival and successful transplantation in patients with left ventricular assist devices.
1997131
4 200078
5 198772
6 200071
7 200769
8 198568
9
Ciprofloxacin therapy in cystic fibrosis.
198766
10 199253
11 198347
12
Pharmacokinetics of ceftriaxone after intravenous infusion and intramuscular injection.
198445
13 199745
14 200344
15 198441
16 198541
17 198338
18 201038
19 198535
20
Treatment of serious infections with intravenous ciprofloxacin.
198732

About Brian E. Scully

Brian E. Scully is a scholar working on Pharmacology, Molecular Medicine, Applied Microbiology and Biotechnology, Infectious Diseases and Epidemiology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (24 papers), Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (5 papers), Mechanical Circulatory Support Devices (4 papers), Urinary Tract Infections Management (3 papers), Cystic Fibrosis Research Advances (3 papers), Pneumonia and Respiratory Infections (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (88 citations), Molecular Medicine (209 citations), Pharmacology (427 citations), Microbiology (23 citations) and Endocrinology (75 citations). Brian E. Scully has collaborated with scholars based in United States and Ireland. Frequent co-authors include Harold C. Neu, Harold C. Neu, William Mandell, David R. Spriggs, Neu Hc, Carlton C. McGregor, Larry L. Schulman, Phyllis Della‐Latta, Edward A. Swabb and Susan Whittier. Their work appears in journals such as Clinical Infectious Diseases, The American Journal of Medicine, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy and The Lancet.

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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