Hayley Wickens

19 total papers · 597 total citations
15 papers, 454 citations indexed

About

Hayley Wickens is a scholar working on Applied Microbiology and Biotechnology, General Health Professions and Molecular Biology. According to data from OpenAlex, Hayley Wickens has authored 15 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Applied Microbiology and Biotechnology, 5 papers in General Health Professions and 4 papers in Molecular Biology. Recurrent topics in Hayley Wickens's work include Antibiotic Use and Resistance (9 papers), Antibiotic Resistance in Bacteria (3 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Hayley Wickens is often cited by papers focused on Antibiotic Use and Resistance (9 papers), Antibiotic Resistance in Bacteria (3 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Hayley Wickens collaborates with scholars based in United Kingdom, Mexico and Jamaica. Hayley Wickens's co-authors include R. J. Pinney, D.J. Mason, Diane Ashiru‐Oredope, Vanya Gant, Alison Holmes, Ann Jacklin, Mark Gilchrist, Jacqueline Sneddon, Philip Howard and W. Lawson and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, International Journal of Pharmaceutics and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Hayley Wickens

13 papers receiving 445 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hayley Wickens	246	133	115	96	58	15	454
Nilam Patel	230 0.9×	99 0.7×	36 0.3×	65 0.7×	160 2.8×	15	517
Elizabeth Leung	192 0.8×	68 0.5×	87 0.8×	52 0.5×	113 1.9×	23	508
Matthew J. Labreche	93 0.4×	76 0.6×	52 0.5×	46 0.5×	109 1.9×	16	510
Muhammad Majid Aziz	262 1.1×	93 0.7×	153 1.3×	42 0.4×	133 2.3×	31	510
Anahí Dreser	256 1.0×	108 0.8×	102 0.9×	47 0.5×	78 1.3×	35	540
María Victoria Gil-Navarro	203 0.8×	52 0.4×	74 0.6×	153 1.6×	160 2.8×	46	500
Barry Strickland–Hodge	237 1.0×	100 0.8×	161 1.4×	33 0.3×	82 1.4×	27	430
Bing Lv	230 0.9×	57 0.4×	84 0.7×	66 0.7×	93 1.6×	20	452
Caijun Yang	272 1.1×	93 0.7×	110 1.0×	60 0.6×	104 1.8×	36	507
Martin H. Adelman	99 0.4×	31 0.2×	54 0.5×	115 1.2×	94 1.6×	19	423

Countries citing papers authored by Hayley Wickens

Since Specialization

Citations

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

Fields of papers citing papers by Hayley Wickens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayley Wickens

This figure shows the co-authorship network connecting the top 25 collaborators of Hayley Wickens. A scholar is included among the top collaborators of Hayley Wickens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hayley Wickens. Hayley Wickens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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