Peter Angell

744 total citations
33 papers, 557 citations indexed

About

Peter Angell is a scholar working on Materials Chemistry, Civil and Structural Engineering and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peter Angell has authored 33 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 9 papers in Civil and Structural Engineering and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peter Angell's work include Corrosion Behavior and Inhibition (12 papers), Concrete Corrosion and Durability (8 papers) and Hormonal and reproductive studies (7 papers). Peter Angell is often cited by papers focused on Corrosion Behavior and Inhibition (12 papers), Concrete Corrosion and Durability (8 papers) and Hormonal and reproductive studies (7 papers). Peter Angell collaborates with scholars based in United Kingdom, United States and Australia. Peter Angell's co-authors include D. C. White, A. H. L. Chamberlain, Greg Whyte, Neil Chester, John Somauroo, Keith George, Daniel J. Green, Marc W. Mittelman, David C. White and Keith George and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Sports Medicine and Corrosion Science.

In The Last Decade

Peter Angell

32 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Angell United Kingdom 15 192 106 92 88 81 33 557
Yanxiu Wang China 17 33 0.2× 42 0.4× 119 1.3× 44 0.5× 24 0.3× 67 801
Fang Wen China 14 185 1.0× 8 0.1× 188 2.0× 88 1.0× 214 2.6× 33 844
Holly M. Johnston Canada 8 28 0.1× 40 0.4× 72 0.8× 120 1.4× 20 0.2× 10 446
Wanyu Wang China 15 34 0.2× 22 0.2× 94 1.0× 6 0.1× 140 1.7× 47 618
Jahangir A. Khawaja Finland 7 325 1.7× 26 0.2× 186 2.0× 162 2.0× 16 1.3k
Haiqin Ren China 13 279 1.5× 12 0.1× 60 0.7× 140 1.6× 44 0.5× 21 517
Gabriella Geiger United States 11 63 0.3× 40 0.4× 187 2.0× 1 0.0× 44 0.5× 28 673
Muhammad Azeem Pakistan 11 83 0.4× 8 0.1× 20 0.2× 40 0.5× 27 0.3× 43 368

Countries citing papers authored by Peter Angell

Since Specialization
Citations

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

Fields of papers citing papers by Peter Angell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Angell

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

All Works

20 of 20 papers shown
1.
Carpenter, Hillary M., Lyn Howard, J. D. Maxwell, et al.. (2025). Left atrial stiffness and its association to left ventricular geometry in resistance trained athletes using anabolic-androgenic steroids. European Heart Journal - Cardiovascular Imaging. 26(Supplement_1).
2.
Kirk, Christopher, James J. Malone, & Peter Angell. (2022). Intra-unit reliability and movement variability of submission grappling external load as measured by torso mounted accelerometery. Biology of Sport. 40(2). 457–464. 3 indexed citations
3.
4.
Roche, Denise M., et al.. (2018). Evaluating the progressive cardiovascular health benefits of short-term high-intensity interval training. European Journal of Applied Physiology. 118(10). 2259–2268. 15 indexed citations
5.
Angell, Peter, Daniel J. Green, Rachel N. Lord, et al.. (2018). Acute cardiovascular responses to resistance exercise in anabolic steroids users: A preliminary investigation. Science & Sports. 33(6). 339–346. 4 indexed citations
6.
Auley, Mark T. Mc, Kathleen M. Mooney, Peter Angell, & Stephen J. Wilkinson. (2015). Mathematical Modelling of Metabolic Regulation in Aging. Metabolites. 5(2). 232–251. 19 indexed citations
7.
Angell, Peter, Tevfik F. Ismail, Andrew Jabbour, et al.. (2014). Ventricular structure, function, and focal fibrosis in anabolic steroid users: a CMR study. European Journal of Applied Physiology. 114(5). 921–928. 24 indexed citations
8.
Beynon, Caryl, Rhiannon Whitaker, N. Timothy Cable, et al.. (2013). Exercise referral for drug users aged 40 and over: results of a pilot study in the UK. BMJ Open. 3(5). e002619–e002619. 6 indexed citations
9.
Angell, Peter, Neil Chester, Nicholas Sculthorpe, et al.. (2012). Performance enhancing drug abuse and cardiovascular risk in athletes: implications for the clinician. British Journal of Sports Medicine. 46(Suppl 1). i78–i84. 39 indexed citations
10.
Angell, Peter, Neil Chester, Daniel J. Green, et al.. (2012). Anabolic Steroids and Cardiovascular Risk. Sports Medicine. 42(2). 119–134. 66 indexed citations
11.
Ismail, Tevfik F., Peter Angell, Andrew Jabbour, et al.. (2012). Cardiac effects of anabolic steroid use amongst recreational body builders - a CMR study. Journal of Cardiovascular Magnetic Resonance. 14(S1). 3 indexed citations
12.
Sculthorpe, Nicholas, Fergal Grace, Peter Angell, Julien S. Baker, & Keith George. (2012). Cardiovascular risk and androgenic anabolic steroids. British Journal of Cardiac Nursing. 7(6). 266–275. 2 indexed citations
13.
Angell, Peter, Neil Chester, Daniel J. Green, et al.. (2011). Anabolic Steroid Use and Longitudinal, Radial, and Circumferential Cardiac Motion. Medicine & Science in Sports & Exercise. 44(4). 583–590. 19 indexed citations
14.
Angell, Peter. (1999). Understanding microbially influenced corrosion as biofilm-mediated changes in surface chemistry. Current Opinion in Biotechnology. 10(3). 269–272. 40 indexed citations
15.
Buchanan, R. A., et al.. (1997). Microbially influenced corrosion of Fe-, Ni-, Cu-, Al-, and Ti-based weldments. Materials performance. 36(6). 46–55. 1 indexed citations
16.
Little, Brenda J., Patricia Wagner, Peter Angell, & David White. (1996). Correlation between localized anodic areas and Oceanospirillum biofilms on copper. International Biodeterioration & Biodegradation. 37(3-4). 159–162. 19 indexed citations
17.
Angell, Peter, et al.. (1995). The Role of Oceanospirillum Exopolymer in Marine Copper Corrosion. 3 indexed citations
18.
Angell, Peter & A. H. L. Chamberlain. (1991). The role of extracellular products in copper colonisation. International Biodeterioration. 27(2). 135–143. 25 indexed citations
19.
Angell, Peter, David R. Langley, & A. H. L. Chamberlain. (1989). Localisation of luciferase in luminous marine bacteria by gold immunocytochemical labelling. FEMS Microbiology Letters. 65(1-2). 177–181. 5 indexed citations
20.
Chamberlain, A. H. L., et al.. (1988). Technical note: Staining procedures for characterising biofilms in corrosion investigations. British Corrosion Journal. 23(3). 197–198. 23 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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