Penelope A Bryant

93 papers receiving 2.0k citations

Peers

Penelope A Bryant
Comparison fields: 5 of 135
  • Applied Microbiology and Biotechnology 142
  • Infectious Diseases 498
  • Endocrine and Autonomic Systems 157
  • Clinical Biochemistry 141
  • Epidemiology 712
Replace Philipp Köhler with:
Philipp Köhler Switzerland
Joseph Doyle Australia
George A. Syrogiannopoulos Greece
Magnús Gottfreðsson Iceland
Fabienne Brégeon France
Martín Krause Germany
Hiroyuki Suematsu Japan
Russell W. Steele United States
Cindy L. Munro United States
Jan L. L. Kimpen Netherlands
Penelope A Bryant relative to Philipp Köhler Switzerland Philipp Köhler's profile →
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Citations per year

Countries citing papers authored by Penelope A Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Penelope A Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Penelope A Bryant. 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 Penelope A Bryant. The network helps show where Penelope A Bryant may publish in the future.

Co-authors

The 25 scholars most cited alongside Penelope A Bryant, 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 Penelope A Bryant Line = papers co-authored together Penelope A Bryant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004384
2 2004163
3 2009111
4 201365
5 201759
6 201757
7 201256
8 200256
9 200455
10 201751
11 201650
12 201448
13 200441
14 201940
15 202139
16 202038
17 201433
18
Influence of cage shelf level on retinal atrophy in mice.
198230
19 202028
20 201526

About Penelope A Bryant

Penelope A Bryant is a scholar working on Epidemiology, Infectious Diseases, Pharmacology, Applied Microbiology and Biotechnology and Public Health, Environmental and Occupational Health, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (21 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers), Pneumonia and Respiratory Infections (12 papers), Streptococcal Infections and Treatments (11 papers), Pediatric Urology and Nephrology Studies (9 papers), Pharmaceutical studies and practices (7 papers), Emergency and Acute Care Studies (7 papers) and Urinary Tract Infections Management (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (142 citations), Infectious Diseases (498 citations), Endocrine and Autonomic Systems (157 citations), Clinical Biochemistry (141 citations) and Epidemiology (712 citations). Penelope A Bryant has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nigel Curtis, John Trinder, Roy M. Robins‐Browne, Franz E Babl, Jonathan R. Carapetis, Deon J. Venter, Sandy M Hopper, Andrew J. Daley, Naomi Katz and Christopher C. Blyth. Their work appears in journals such as The Pediatric Infectious Disease Journal, Archives of Disease in Childhood, Journal of the Pediatric Infectious Diseases Society, The Lancet Infectious Diseases and Open Forum Infectious Diseases.

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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