Carol Webster

874 citations
17 papers · 615 indexed · h-index 14

Impact in

Papers in

Carol Webster

17 papers receiving 589 citations

Peers

Carol Webster
Comparison fields: 5 of 87
  • Molecular Medicine 285
  • Clinical Biochemistry 164
  • Applied Microbiology and Biotechnology 48
  • Endocrinology 106
  • Infectious Diseases 187
Replace Francisca Molina with:
Francisca Molina Spain
Kathrine Dornbusch Sweden
T. Fosse France
E Molitoris United States
Jainn-Ming Shyr Taiwan
Rebecca A. Hutton United States
A. Florijn Netherlands
Patti M. Raney United States
María Isabel Morosini Spain
M E Kaufmann United Kingdom
Carol Webster relative to Francisca Molina Spain Francisca Molina's profile →
Citations per field
00.5×10×14×
Francisca Molina · 1×
Citations per year

Countries citing papers authored by Carol Webster

Since Specialization
Citations

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

Fields of papers citing papers by Carol Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Webster. 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 Carol Webster. The network helps show where Carol Webster may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 202215
2 2017220
3 200296
4 200021
5 199914
6 199857
7 199840
8 199614
9 199624
10 199620
11 19933
12 199115
13 198813
14 19857
15 198513
16 196838
17 19585

About Carol Webster

Carol Webster is a scholar working on Molecular Medicine, Endocrinology, Clinical Biochemistry, Human Factors and Ergonomics and Small Animals, having authored 17 papers that have together received 615 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (5 papers), Vibrio bacteria research studies (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (285 citations), Clinical Biochemistry (164 citations), Applied Microbiology and Biotechnology (48 citations), Endocrinology (106 citations) and Infectious Diseases (187 citations). Carol Webster has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Erika Matuschek, Gunnar Kahlmeter, Jenny Åhman, K. J. Towner, H. Humphreys, Rebecca Curran, Satoshi Hori, Mark C. Enright, Tyrone L. Pitt and Adriana Tami. Their work appears in journals such as Journal of Hospital Infection, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Medical Microbiology, Journal of Antimicrobial Chemotherapy and Microbial Pathogenesis.

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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