S. Chappell

446 total citations
9 papers, 283 citations indexed

About

S. Chappell is a scholar working on Food Science, Molecular Medicine and Endocrinology. According to data from OpenAlex, S. Chappell has authored 9 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 4 papers in Molecular Medicine and 3 papers in Endocrinology. Recurrent topics in S. Chappell's work include Salmonella and Campylobacter epidemiology (7 papers), Antibiotic Resistance in Bacteria (4 papers) and Aquaculture disease management and microbiota (3 papers). S. Chappell is often cited by papers focused on Salmonella and Campylobacter epidemiology (7 papers), Antibiotic Resistance in Bacteria (4 papers) and Aquaculture disease management and microbiota (3 papers). S. Chappell collaborates with scholars based in United Kingdom, United States and Grenada. S. Chappell's co-authors include I. McLaren, C. Wray, Robert Davies, S. J. S. Pascoe, S. J. Evans, C. Byrne, Richard P. Smith, J. C. Gibbens, G. A. Paiba and T. Cheasty and has published in prestigious journals such as Journal of Applied Microbiology, Journal of Food Protection and Veterinary Record.

In The Last Decade

S. Chappell

9 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Chappell United Kingdom	9	215	129	76	72	72	9	283
A. Aladueña Spain	11	327 1.5×	141 1.1×	95 1.3×	65 0.9×	98 1.4×	14	383
Monica Staffolani Italy	7	236 1.1×	116 0.9×	65 0.9×	72 1.0×	130 1.8×	14	304
Taru Lienemann Finland	10	237 1.1×	187 1.4×	70 0.9×	128 1.8×	56 0.8×	17	372
George Moutafis Australia	6	187 0.9×	107 0.8×	56 0.7×	68 0.9×	96 1.3×	7	317
Ibrahim Adisa Raufu Nigeria	12	226 1.1×	121 0.9×	57 0.8×	59 0.8×	73 1.0×	35	332
Anthony Pavic Australia	9	246 1.1×	57 0.4×	72 0.9×	104 1.4×	54 0.8×	20	329
Bonnie Kissler United States	10	336 1.6×	82 0.6×	159 2.1×	92 1.3×	68 0.9×	14	407
Karin Pries Germany	6	225 1.0×	262 2.0×	60 0.8×	192 2.7×	105 1.5×	7	386
Cristina de Frutos Spain	11	178 0.8×	87 0.7×	41 0.5×	51 0.7×	144 2.0×	15	313
María Inés Caffer Argentina	11	206 1.0×	127 1.0×	50 0.7×	66 0.9×	126 1.8×	28	357

Countries citing papers authored by S. Chappell

Since Specialization

Citations

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

Fields of papers citing papers by S. Chappell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chappell

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

All Works

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9 of 9 papers shown

Horton, Robert A., Daisy Duncan, Luke Randall, et al.. (2016). Longitudinal study of CTX-M ESBL-producing E. coli strains on a UK dairy farm. Research in Veterinary Science. 109. 107–113. 20 indexed citations

Hariharan, Harry, et al.. (2013). Prevalence, Serovars, and Antimicrobial Susceptibility of Salmonella Isolated from Blue Land Crabs (Cardisoma guanhumi) in Grenada, West Indies. Journal of Food Protection. 76(7). 1270–1273. 15 indexed citations

Davison, Nicholas J., S. Chappell, Emma Stubberfield, et al.. (2010). Prevalence of a host‐adapted group B Salmonella enterica in harbour porpoises ( Phocoena phocoena ) from the south‐west coast of England. Veterinary Record. 167(5). 173–176. 9 indexed citations

Liébana, E., C. Clouting, Claire Cassar, et al.. (2002). Investigation of the genetic diversity among isolates of Salmonella enterica serovar Dublin from animals and humans from England, Wales and Ireland. Journal of Applied Microbiology. 93(5). 732–744. 32 indexed citations

Chappell, S., et al.. (2002). Antimicrobial resistance in Salmonella isolated from animals and their environment in England and Wales from 1988 to 1999. Veterinary Record. 150(21). 649–654. 41 indexed citations

Paiba, G. A., S. J. S. Pascoe, J. W. Wilesmith, et al.. (2002). Faecal carriage of verocytotoxin‐producing Escherichia coli 0157 in cattle and sheep at slaughter in Great Britain. Veterinary Record. 150(19). 593–598. 85 indexed citations

Davies, R. H., et al.. (2001). Increase in Salmonella enterica subspecies diarizonae serovar 61:k:l,5,(7) in sheep. Veterinary Record. 149(18). 555–557. 27 indexed citations

Davies, Rob, et al.. (1999). Nalidixic acid resistance in salmonellae isolated from turkeys and other livestock in Great Britain. Veterinary Record. 144(12). 320–322. 33 indexed citations

Wray, C., et al.. (1998). Salmonella Typhimurium DT104 in cattle in Great Britain.. PubMed. 213(12). 1732–3. 21 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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