Angela Oates

423 total citations
17 papers, 288 citations indexed

About

Angela Oates is a scholar working on Molecular Biology, Rehabilitation and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Angela Oates has authored 17 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Rehabilitation and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Angela Oates's work include Wound Healing and Treatments (8 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Bacterial biofilms and quorum sensing (5 papers). Angela Oates is often cited by papers focused on Wound Healing and Treatments (8 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Bacterial biofilms and quorum sensing (5 papers). Angela Oates collaborates with scholars based in United Kingdom, United States and Italy. Angela Oates's co-authors include Andrew J. McBain, Andrew J.M. Boulton, Frank L. Bowling, Philip G. Bowler, Daniel Metcalf, Donna M. Johnson, Pietro Matricardi, Chiara Di Meo, Elita Montanari and Una Adderley and has published in prestigious journals such as Journal of Bacteriology, Journal of Clinical Microbiology and Molecules.

In The Last Decade

Angela Oates

14 papers receiving 281 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Angela Oates United Kingdom	10	101	88	59	41	34	17	288
Allie Clinton Smith United States	8	113 1.1×	125 1.4×	47 0.8×	44 1.1×	44 1.3×	13	313
Sarah B. Chaney United States	6	111 1.1×	226 2.6×	23 0.4×	19 0.5×	24 0.7×	11	357
Kirsty Holden United Kingdom	6	97 1.0×	48 0.5×	23 0.4×	25 0.6×	22 0.6×	7	260
G. Germann Germany	7	58 0.6×	50 0.6×	17 0.3×	10 0.2×	78 2.3×	16	281
Sophie Schuldiner France	12	325 3.2×	101 1.1×	341 5.8×	103 2.5×	57 1.7×	24	555
Irena Angelova‐Fischer Germany	18	34 0.3×	61 0.7×	8 0.1×	25 0.6×	14 0.4×	26	779
Silvestre Ortega‐Peña Mexico	9	32 0.3×	89 1.0×	6 0.1×	7 0.2×	74 2.2×	21	278
Lianghui Cheng Netherlands	12	29 0.3×	171 1.9×	14 0.2×	3 0.1×	35 1.0×	15	524
Suzana Erić Croatia	7	13 0.1×	128 1.5×	14 0.2×	6 0.1×	10 0.3×	10	278
Seitaro Nakagawa Japan	9	31 0.3×	143 1.6×	9 0.2×	5 0.1×	18 0.5×	17	453

Countries citing papers authored by Angela Oates

Since Specialization

Citations

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

Fields of papers citing papers by Angela Oates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Oates

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Oates. A scholar is included among the top collaborators of Angela Oates 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 Angela Oates. Angela Oates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Oates, Angela & Donna M. Johnson. (2025). ChatGPT in the Classroom: Evaluating its Role in Fostering Critical Evaluation Skills. International Journal of Artificial Intelligence in Education. 35(4). 1793–1824. 16 indexed citations

Nelson, E Andrea, Sarah Brown, Colin Everett, et al.. (2025). CODIFI2: Randomised controlled trial to compare clinical and cost‐effectiveness of swabs versus tissue sampling to inform management of infected diabetic foot ulcers. Diabetic Medicine. 42(5). e70009–e70009.

Bojke, Chris, E Andrea Nelson, Sarah Brown, et al.. (2025). Cost‐effectiveness of swab versus tissue sampling for infected diabetic foot ulcers from the CODIFI2 randomised controlled trial. Diabetic Medicine. 42(5). e15492–e15492.

Oates, Angela, Sarah Brown, Colin Everett, et al.. (2025). Concordance of molecular microbiology and conventional culture techniques for infected diabetic foot ulcer management. Diabetic Medicine. 42(9). e70089–e70089.

Arsić, Biljana, Jill Barber, Manikandan Kadirvel, et al.. (2022). Computational Studies on Selected Macrolides Active against Escherichia coli Combined with the NMR Study of Tylosin A in Deuterated Chloroform. Molecules. 27(21). 7280–7280. 3 indexed citations

Oates, Angela, et al.. (2022). Recipient Cell Factors Influence Interbacterial Competition Mediated by Two Distinct Burkholderia dolosa Contact-Dependent Growth Inhibition Systems. Journal of Bacteriology. 204(9). e0054121–e0054121. 2 indexed citations

Wagner, Nicole, et al.. (2019). Bioinformatic analysis suggests potential mechanisms underlying parasitoid venom evolution and function. Genomics. 112(2). 1096–1104. 12 indexed citations

Oates, Angela & Una Adderley. (2019). Survey of registered nurses’ selection of compression systems for the treatment of venous leg ulcers in the UK. Journal of Tissue Viability. 28(2). 115–119. 11 indexed citations

Myers‐Morales, Tanya, Angela Oates, Matthew S. Byrd, & Erin C. Garcia. (2019). Burkholderia cepacia Complex Contact-Dependent Growth Inhibition Systems Mediate Interbacterial Competition. Journal of Bacteriology. 201(12). 16 indexed citations

10.

Montanari, Elita, Chiara Di Meo, Angela Oates, Tommasina Coviello, & Pietro Matricardi. (2018). Pursuing Intracellular Pathogens with Hyaluronan. From a ‘Pro-Infection’ Polymer to a Biomaterial for ‘Trojan Horse’ Systems. Molecules. 23(4). 939–939. 13 indexed citations

11.

Oates, Angela, et al.. (2018). Modelling antisepsis using defined populations of facultative and anaerobic wound pathogens grown in a basally perfused biofilm model. Biofouling. 34(5). 507–518. 12 indexed citations

12.

Montanari, Elita, Angela Oates, Chiara Di Meo, et al.. (2018). Hyaluronan‐Based Nanohydrogels for Targeting Intracellular S. Aureus in Human Keratinocytes. Advanced Healthcare Materials. 7(12). e1701483–e1701483. 33 indexed citations

13.

Oates, Angela, et al.. (2017). The detrimental impact of extracellular bacterial proteases on wound healing. International Wound Journal. 14(6). 1237–1247. 58 indexed citations

14.

Oates, Angela & Andrew J. McBain. (2016). Growth of MRSA andPseudomonas aeruginosain a fine-celled foam model containing sessile commensal skin bacteria. Biofouling. 32(1). 25–33. 2 indexed citations

15.

Humphreys, Gavin J., Angela Oates, Ruth G. Ledder, & Andrew J. McBain. (2014). Faucicola mancuniensis gen. nov., sp. nov., isolated from the human oropharynx. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 65(Pt_1). 11–14. 5 indexed citations

16.

Oates, Angela, Frank L. Bowling, Andrew J.M. Boulton, et al.. (2014). The Visualization of Biofilms in Chronic Diabetic Foot Wounds Using Routine Diagnostic Microscopy Methods. Journal of Diabetes Research. 2014. 1–8. 53 indexed citations

17.

Oates, Angela, Frank L. Bowling, Andrew J.M. Boulton, & Andrew J. McBain. (2012). Molecular and Culture-Based Assessment of the Microbial Diversity of Diabetic Chronic Foot Wounds and Contralateral Skin Sites. Journal of Clinical Microbiology. 50(7). 2263–2271. 52 indexed citations

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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