S. Armstrong Hewitt

1.1k total citations
41 papers, 898 citations indexed

About

S. Armstrong Hewitt is a scholar working on Animal Science and Zoology, Food Science and Small Animals. According to data from OpenAlex, S. Armstrong Hewitt has authored 41 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 15 papers in Food Science and 12 papers in Small Animals. Recurrent topics in S. Armstrong Hewitt's work include Pharmacological Effects and Assays (15 papers), Pesticide Residue Analysis and Safety (14 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). S. Armstrong Hewitt is often cited by papers focused on Pharmacological Effects and Assays (15 papers), Pesticide Residue Analysis and Safety (14 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). S. Armstrong Hewitt collaborates with scholars based in United Kingdom, Australia and Netherlands. S. Armstrong Hewitt's co-authors include D. G. Kennedy, Andrew Cannavan, W. John Blanchflower, Robert J. McCracken, John D. G. McEvoy, D. Glenn Kennedy, W.J. McCaughey, Christopher T. Elliott, P. B. Young and Christopher T. Elliott and has published in prestigious journals such as Journal of Chromatography A, Analytica Chimica Acta and The Analyst.

In The Last Decade

S. Armstrong Hewitt

41 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Armstrong Hewitt United Kingdom 18 327 301 189 157 149 41 898
John D. G. McEvoy United Kingdom 16 453 1.4× 302 1.0× 82 0.4× 137 0.9× 160 1.1× 41 975
Leendert A. van Ginkel Netherlands 19 323 1.0× 310 1.0× 250 1.3× 80 0.5× 211 1.4× 51 898
Piotr Jedziniak Poland 18 375 1.1× 367 1.2× 133 0.7× 160 1.0× 129 0.9× 64 960
Terence L. Fodey United Kingdom 21 353 1.1× 309 1.0× 107 0.6× 117 0.7× 445 3.0× 41 1.1k
Saskia S. Sterk Netherlands 21 438 1.3× 370 1.2× 303 1.6× 67 0.4× 291 2.0× 58 1.2k
Giancarlo Biancotto Italy 20 209 0.6× 171 0.6× 135 0.7× 50 0.3× 415 2.8× 55 1.0k
N. Haagsma Netherlands 16 191 0.6× 219 0.7× 165 0.9× 165 1.1× 255 1.7× 49 759
Jeffrey A Hurlbut United States 18 134 0.4× 191 0.6× 158 0.8× 301 1.9× 170 1.1× 61 939
Guy Degand Belgium 18 332 1.0× 177 0.6× 122 0.6× 63 0.4× 204 1.4× 27 853
M.I.N. Silveira Portugal 17 105 0.3× 353 1.2× 118 0.6× 81 0.5× 102 0.7× 28 863

Countries citing papers authored by S. Armstrong Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by S. Armstrong Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Armstrong Hewitt. 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 S. Armstrong Hewitt. The network helps show where S. Armstrong Hewitt may publish in the future.

Co-authorship network of co-authors of S. Armstrong Hewitt

This figure shows the co-authorship network connecting the top 25 collaborators of S. Armstrong Hewitt. A scholar is included among the top collaborators of S. Armstrong Hewitt 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 S. Armstrong Hewitt. S. Armstrong Hewitt 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.
Berendsen, B.J.A., Thijs Meijer, Robin S. Wegh, et al.. (2016). A critical assessment of the performance criteria in confirmatory analysis for veterinary drug residue analysis using mass spectrometric detection in selected reaction monitoring mode. Drug Testing and Analysis. 8(5-6). 477–490. 13 indexed citations
2.
Kennedy, D. Glenn, et al.. (2009). Occurrence of α- and β-nortestosterone residues in the urine of injured male cattle. Food Additives & Contaminants Part A. 26(5). 683–691. 17 indexed citations
3.
4.
Kennedy, D. G., et al.. (1998). Monensin carry-over into unmedicated broiler feeds†. The Analyst. 123(12). 2529–2533. 22 indexed citations
5.
Kennedy, D. G., Robert J. McCracken, Andrew Cannavan, & S. Armstrong Hewitt. (1998). Use of liquid chromatography–mass spectrometry in the analysis of residues of antibiotics in meat and milk. Journal of Chromatography A. 812(1-2). 77–98. 125 indexed citations
6.
Kennedy, D. G., et al.. (1998). Zeranol is formed fromFusarium spp.toxins in cattlein vivo. Food Additives & Contaminants. 15(4). 393–400. 79 indexed citations
7.
Kennedy, D. G., Robert J. McCracken, S. Armstrong Hewitt, & John D. G. McEvoy. (1998). Metabolism of chlortetracycline: drug accumulation and excretion in the hen’s egg†. The Analyst. 123(12). 2443–2447. 15 indexed citations
8.
9.
Cannavan, Andrew, et al.. (1997). Determination of Trimethoprim in Tissues Using Liquid Chromatography–Thermospray Mass Spectrometry. The Analyst. 122(11). 1379–1382. 3 indexed citations
10.
Crooks, Steven R. H., et al.. (1996). The production of pig tissue sulphadimidine reference material. Food Additives & Contaminants. 13(2). 211–219. 6 indexed citations
11.
Kennedy, D. G., John D. G. McEvoy, W. John Blanchflower, et al.. (1995). Possible Naturally Occurring Zeranol in Bovine Bile in Northern Ireland. Journal of Veterinary Medicine Series B. 42(1-10). 509–512. 26 indexed citations
12.
Blanchflower, W. John, S. Armstrong Hewitt, Andrew Cannavan, Christopher T. Elliott, & D. G. Kennedy. (1993). Detection of clenbuterol residues in bovine liver, muscle, retina and urine using gas chromatography/mass spectrometry. Journal of Mass Spectrometry. 22(6). 326–330. 39 indexed citations
13.
Taylor, Subhashni, et al.. (1993). Plasma concentrations of fenbendazole and its metabolites in poultry after a single oral administration. Journal of Veterinary Pharmacology and Therapeutics. 16(3). 377–379. 1 indexed citations
14.
Hewitt, S. Armstrong, W. John Blanchflower, W.J. McCaughey, Christopher T. Elliott, & D. G. Kennedy. (1993). Liquid chromatography-thermospray mass spectrometric assay for trenbolone in bovine bile and faeces. Journal of Chromatography A. 639(2). 185–191. 19 indexed citations
15.
Kennedy, D. G., Andrew Cannavan, S. Armstrong Hewitt, D. A. Rice, & W. John Blanchflower. (1993). Determination of ivermectin residues in the tissues of Atlantic salmon(Salmo salar)using HPLC with fluorescence detection. Food Additives & Contaminants. 10(5). 579–584. 23 indexed citations
16.
Taylor, Subhashni, et al.. (1993). Effects of dietary variations on plasma concentrations of oral flukicides in sheep. Journal of Veterinary Pharmacology and Therapeutics. 16(1). 48–54. 8 indexed citations
17.
18.
Elliott, Christopher T., et al.. (1993). Improved detection of the beta-agonist clenbuterol by analysis of retina extracts. Veterinary Record. 132(12). 301–302. 13 indexed citations
19.
Hewitt, S. Armstrong, et al.. (1983). Renal Function in Australian Native Rodents. Australian Journal of Zoology. 31(4). 483–489. 2 indexed citations
20.
Hewitt, S. Armstrong. (1982). Method for the microassay of endogenous creatinine in blood and urine of small murid rodents. Laboratory Animals. 16(2). 201–203. 5 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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