A. C. Scott

22 papers receiving 324 citations

Peers

A. C. Scott
Comparison fields: 5 of 78
  • Endocrinology 145
  • Applied Microbiology and Biotechnology 11
  • Microbiology 36
  • Infectious Diseases 98
  • Small Animals 34
Replace M. J. Leyland with:
M. J. Leyland United Kingdom
Isobel Rutherford United States
Kiyohito Ishikawa Japan
Leonid Titov Belarus
J.H. Andrew Australia
A. F. Hallett South Africa
Christine Médaille France
Kiyoshi Negayama Japan
Eileen L. Randall United States
P.H. Chandrasekar United States
A. C. Scott relative to M. J. Leyland United Kingdom M. J. Leyland's profile →
Citations per field
00.5×3.5×
M. J. Leyland · 1×
Citations per year

Countries citing papers authored by A. C. Scott

Since Specialization
Citations

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

Fields of papers citing papers by A. C. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198291
2 198353
3 198834
4 196932
5 198725
6 198223
7 199021
8 196219
9 196211
10 198510
11 197710
12 198310
13 19808
14 19776
15 19625
16 19855
17 19864
18 19714
19 19813
20 19682

About A. C. Scott

A. C. Scott is a scholar working on Endocrinology, Infectious Diseases, Pharmacology, Molecular Biology and Ecology, having authored 22 papers that have together received 380 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Bacteriophages and microbial interactions (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Endocrinology (145 citations), Applied Microbiology and Biotechnology (11 citations), Microbiology (36 citations), Infectious Diseases (98 citations) and Small Animals (34 citations). A. C. Scott has collaborated with scholars based in United Kingdom, United Arab Emirates and Canada. Frequent co-authors include J.A. Morris, W.J. Sojka, C.J. Thorns, W.K. Stewart, Laura W. Fleming, Peter Davey, Ian D. Duncan, G. Phillips, L. O. White and T. A. Moreland. Their work appears in journals such as The Lancet, Journal of Antimicrobial Chemotherapy, Microbiology, Peritoneal Dialysis International and Journal of Medical Microbiology.

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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