S.J. Pedler

889 citations
32 papers · 588 indexed · h-index 16

Impact in

Papers in

S.J. Pedler

30 papers receiving 520 citations

Peers

S.J. Pedler
Comparison fields: 5 of 95
  • Clinical Biochemistry 100
  • Molecular Medicine 73
  • Infectious Diseases 229
  • Endocrinology 42
  • Critical Care and Intensive Care Medicine 36
Replace Margaret Webster with:
Margaret Webster United Kingdom
Herman Baer United States
Hisashi Baba Japan
A Digranes Norway
Joel D. Brown United States
M Vorachit Thailand
P. Ispahani United Kingdom
Antonia Kolokathis United States
Robert M. Swenson United States
Manuel L. Fernández Guerrero Spain
S.J. Pedler relative to Margaret Webster United Kingdom Margaret Webster's profile →
Citations per field
00.5×5.5×
Margaret Webster · 1×
Citations per year

Countries citing papers authored by S.J. Pedler

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Pedler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200711
2 200233
3
Further evidence of cross-infection with Pseudomonas aeruginosa in a regional cystic fibrosis clinic: A referring centre as a probable source
20010
4 19993
5 199834
6 199811
7 19965
8 199541
9 199510
10 199417
11 199450
12 19949
13 199316
14 199263
15 199240
16 199143
17 19918
18 19904
19 198534
20 198024

About S.J. Pedler

S.J. Pedler is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 32 papers that have together received 588 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Salmonella and Campylobacter epidemiology (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Mycobacterium research and diagnosis (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Clinical Biochemistry (100 citations), Molecular Medicine (73 citations), Infectious Diseases (229 citations), Endocrinology (42 citations) and Critical Care and Intensive Care Medicine (36 citations). S.J. Pedler has collaborated with scholars based in United Kingdom. Frequent co-authors include J. Gray, Aodhán S. Breathnach, Donna E. Stewart, David R. Jenkins, A. J. Bint, Andrew Berrington, Phil Marsh, Peter M. Hawkey, Julie Graham and Suzann K. Campbell. Their work appears in journals such as Journal of Hospital Infection, Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Journal of Clinical Pathology and European Journal of Clinical Microbiology & 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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