Will S. Redfern

476 total citations
18 papers, 294 citations indexed

About

Will S. Redfern is a scholar working on Small Animals, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Will S. Redfern has authored 18 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Small Animals, 5 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Will S. Redfern's work include Animal testing and alternatives (9 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Pharmaceutical studies and practices (3 papers). Will S. Redfern is often cited by papers focused on Animal testing and alternatives (9 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Pharmaceutical studies and practices (3 papers). Will S. Redfern collaborates with scholars based in United Kingdom, United States and Spain. Will S. Redfern's co-authors include Jean‐Pierre Valentin, Lorna Ewart, Chris Pollard, Silvana Lindgren, Tim Hammond, Pierre Lainée, Rob Wallis, Mark Pinches, Sally Robinson and Russell Bialecki and has published in prestigious journals such as Scientific Reports, British Journal of Pharmacology and Toxicology Letters.

In The Last Decade

Will S. Redfern

18 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Will S. Redfern United Kingdom 8 78 74 73 56 44 18 294
Rob Wallis United Kingdom 12 142 1.8× 59 0.8× 163 2.2× 54 1.0× 50 1.1× 23 445
Nick McMahon United Kingdom 8 357 4.6× 52 0.7× 241 3.3× 53 0.9× 64 1.5× 15 505
David G. Hattan United States 10 23 0.3× 122 1.6× 103 1.4× 42 0.8× 19 0.4× 13 512
Chieko Kasai Japan 7 255 3.3× 19 0.3× 228 3.1× 204 3.6× 19 0.4× 9 422
Alessandra Giarola United States 6 29 0.4× 37 0.5× 32 0.4× 38 0.7× 10 0.2× 13 138
Sophie Kervyn Belgium 7 4 0.1× 50 0.7× 66 0.9× 183 3.3× 21 0.5× 14 407
Angela L. Short United States 5 18 0.2× 9 0.1× 158 2.2× 120 2.1× 21 0.5× 8 371
Hideto Kuwayama Japan 15 145 1.9× 17 0.2× 270 3.7× 56 1.0× 3 0.1× 52 580
Kratika Daniel United States 7 57 0.7× 4 0.1× 449 6.2× 273 4.9× 11 0.3× 24 642
Justyna Kulpa United States 11 13 0.2× 9 0.1× 165 2.3× 31 0.6× 4 0.1× 24 410

Countries citing papers authored by Will S. Redfern

Since Specialization
Citations

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

Fields of papers citing papers by Will S. Redfern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will S. Redfern

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

All Works

18 of 18 papers shown
1.
Winter, Matthew J., Aya Takesono, Jonathan S. Ball, et al.. (2021). Functional brain imaging in larval zebrafish for characterising the effects of seizurogenic compounds acting via a range of pharmacological mechanisms. British Journal of Pharmacology. 178(13). 2671–2689. 17 indexed citations
2.
Delaunois, Annie, Warren D. Anderson, Kylie A. Beattie, et al.. (2021). Applying the CiPA approach to evaluate cardiac proarrhythmia risk of some antimalarials used off‐label in the first wave of COVID‐19. Clinical and Translational Science. 14(3). 1133–1146. 25 indexed citations
3.
Winter, Matthew J., Jeremy Metz, Jon T. Brown, et al.. (2017). 4-dimensional functional profiling in the convulsant-treated larval zebrafish brain. Scientific Reports. 7(1). 6581–6581. 33 indexed citations
4.
Pugsley, Michael K., Simon Authier, John Koerner, et al.. (2017). An Overview of the Safety Pharmacology Society (SPS) Strategic Plan (2016-2018). Journal of Pharmacological and Toxicological Methods. 88. 246–246. 1 indexed citations
5.
Mead, Andy, Hamid Amouzadeh, Kathryn Chapman, et al.. (2016). Assessing the predictive value of the rodent neurofunctional assessment for commonly reported adverse events in phase I clinical trials. Regulatory Toxicology and Pharmacology. 80. 348–357. 47 indexed citations
6.
Authier, Simon, Michael J. Curtis, Maxim Soloviev, et al.. (2015). The Diplomate in Safety Pharmacology (DSP) certification scheme. Journal of Pharmacological and Toxicological Methods. 75. 1–4. 5 indexed citations
7.
Redfern, Will S.. (2015). Inclusion of Safety Pharmacology Endpoints in Repeat-Dose Toxicity Studies. Handbook of experimental pharmacology. 229. 353–381. 10 indexed citations
8.
Klein, Stéphanie & Will S. Redfern. (2015). Cardiovascular safety risk assessment for new candidate drugs from functional and pathological data: Conference report. Journal of Pharmacological and Toxicological Methods. 76. 1–6. 5 indexed citations
9.
Redfern, Will S., J. Douglas Armstrong, Ben Allison, et al.. (2014). Rodent big brother: Development and validation of a home cage automated behavioural monitoring system for use in repeat-dose toxicity studies in rats. Toxicology Letters. 229. S47–S48. 3 indexed citations
10.
Redfern, Will S., Lorna Ewart, Pierre Lainée, et al.. (2013). Functional assessments in repeat-dose toxicity studies: the art of the possible. Toxicology Research. 2(4). 209–209. 39 indexed citations
11.
Prior, Helen, et al.. (2012). Inclusion of microchip transponder body temperature measurements in safety pharmacology and toxicology studies. Journal of Pharmacological and Toxicological Methods. 66(2). 192–192. 4 indexed citations
12.
Winter, Matthew J., et al.. (2012). Ototoxin-induced cellular damage in neuromasts disrupts lateral line function in larval zebrafish. Journal of Pharmacological and Toxicological Methods. 66(2). 163–163. 5 indexed citations
13.
Redfern, Will S., et al.. (2011). Streamlined functional measurements for early toxicology studies in rodents. Journal of Pharmacological and Toxicological Methods. 64(1). e20–e20. 4 indexed citations
14.
Ewart, Lorna, et al.. (2011). A potential algorithm for predicting drug-induced nausea in man. Journal of Pharmacological and Toxicological Methods. 64(1). e57–e57. 4 indexed citations
15.
Redfern, Will S., et al.. (2011). Trends in safety pharmacology: Analysis of posters presented to the safety pharmacology society (SPS) 2001–2010. Journal of Pharmacological and Toxicological Methods. 64(1). e1–e1. 3 indexed citations
16.
Ewart, Lorna, Russell Bialecki, Tim Hammond, et al.. (2010). Can the animal model framework be applied to non-cardiovascular safety pharmacology models?. Journal of Pharmacological and Toxicological Methods. 62(2). e28–e29. 1 indexed citations
17.
Redfern, Will S., Lorna Ewart, Tim Hammond, et al.. (2010). Impact and prevalence of safety pharmacology-related toxicities throughout the pharmaceutical life cycle. Journal of Pharmacological and Toxicological Methods. 62(2). e29–e29. 25 indexed citations
18.
Valentin, Jean‐Pierre, Russell Bialecki, Lorna Ewart, et al.. (2009). A framework to assess the translation of safety pharmacology data to humans. Journal of Pharmacological and Toxicological Methods. 60(2). 152–158. 63 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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