A. Prysor Williams

85 papers receiving 3.7k citations

A. Prysor Williams's Hit Papers

The role of the natural environment in the emergence of antibiotic resistance in Gram-negative bacteria 2013 · 796 citations
7960+4+8Years since publication250500750

Peers

A. Prysor Williams
Comparison fields: 5 of 161
  • Molecular Medicine 469
  • Pollution 692
  • Applied Microbiology and Biotechnology 110
  • Endocrinology 272
  • Water Science and Technology 550
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Toshinari Maeda Japan
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Countries citing papers authored by A. Prysor Williams

Since Specialization
Citations

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

Fields of papers citing papers by A. Prysor Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of the natural environment in the emergence of antibiotic resistance in Gram-negative bacteria
Hit paper breakdown →
2013796
2 1991414
3 2014270
4 2015149
5 2012148
6 2011146
7 1997101
8 201397
9 201286
10 201481
11 200579
12 201578
13 200769
14 201566
15 201558
16 201957
17 200654
18 201251
19 202047
20 201446

About A. Prysor Williams

A. Prysor Williams is a scholar working on Water Science and Technology, Food Science, Soil Science, Ecology and Endocrinology, having authored 87 papers that have together received 3.8k indexed citations. Recurring topics across this work include Water-Energy-Food Nexus Studies (19 papers), Escherichia coli research studies (12 papers), Listeria monocytogenes in Food Safety (11 papers), Agriculture Sustainability and Environmental Impact (10 papers), Salmonella and Campylobacter epidemiology (10 papers), Soil Carbon and Nitrogen Dynamics (9 papers), Environmental Impact and Sustainability (9 papers) and Viral gastroenteritis research and epidemiology (8 papers). The work is most often cited by research in Molecular Medicine (469 citations), Pollution (692 citations), Applied Microbiology and Biotechnology (110 citations), Endocrinology (272 citations) and Water Science and Technology (550 citations). A. Prysor Williams has collaborated with scholars based in United Kingdom, Ireland and Australia. Frequent co-authors include Davey L. Jones, David Styles, Gareth Edwards‐Jones, Aonghus McNabola, Lisa M. Avery, Ken Killham, Paul Cross, P. J. A. Withers, Gareth Griffith and John Gallagher. Their work appears in journals such as Journal of Environmental Management, Journal of Applied Microbiology, Agriculture Ecosystems & Environment, Epidemiology and Infection and Journal of Cleaner Production.

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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