Eleanor Raffan

763 total citations
20 papers, 357 citations indexed

About

Eleanor Raffan is a scholar working on Genetics, Small Animals and Equine. According to data from OpenAlex, Eleanor Raffan has authored 20 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Small Animals and 5 papers in Equine. Recurrent topics in Eleanor Raffan's work include Veterinary Medicine and Surgery (8 papers), Human-Animal Interaction Studies (7 papers) and Veterinary Equine Medical Research (5 papers). Eleanor Raffan is often cited by papers focused on Veterinary Medicine and Surgery (8 papers), Human-Animal Interaction Studies (7 papers) and Veterinary Equine Medical Research (5 papers). Eleanor Raffan collaborates with scholars based in United Kingdom, South Sudan and Australia. Eleanor Raffan's co-authors include Robert K. Semple, Stephen O’Rahilly, Jane Wardle, Stephen Smith, Shelley L. Holden, John M. Rawlings, T. Scase, Alexander J. German, Penny Watson and Rachel M. Hackett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Eleanor Raffan

19 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleanor Raffan United Kingdom 11 131 128 61 58 49 20 357
Tamberlyn D. Moyers United States 9 177 1.4× 90 0.7× 59 1.0× 67 1.2× 24 0.5× 14 421
Trisha J. Oura United States 10 85 0.6× 37 0.3× 23 0.4× 44 0.8× 27 0.6× 25 333
K. Tomsa Switzerland 11 120 0.9× 47 0.4× 21 0.3× 30 0.5× 42 0.9× 15 322
B. F. Feldman United States 13 59 0.5× 29 0.2× 26 0.4× 37 0.6× 34 0.7× 45 471
Carole A. Zerbe United States 13 160 1.2× 50 0.4× 43 0.7× 30 0.5× 54 1.1× 22 398
Piotr Wilkołek Poland 11 30 0.2× 22 0.2× 17 0.3× 25 0.4× 39 0.8× 51 316
Craig Weinkauf United States 12 38 0.3× 44 0.3× 34 0.6× 23 0.4× 75 1.5× 44 461
Stefan Schellenberg Switzerland 13 157 1.2× 40 0.3× 36 0.6× 13 0.2× 16 0.3× 15 341
Anne‐Christine Merveille Belgium 11 25 0.2× 28 0.2× 41 0.7× 15 0.3× 31 0.6× 33 224
James R. McClure United States 13 64 0.5× 45 0.4× 74 1.2× 27 0.5× 33 0.7× 36 390

Countries citing papers authored by Eleanor Raffan

Since Specialization
Citations

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

Fields of papers citing papers by Eleanor Raffan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleanor Raffan

This figure shows the co-authorship network connecting the top 25 collaborators of Eleanor Raffan. A scholar is included among the top collaborators of Eleanor Raffan 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 Eleanor Raffan. Eleanor Raffan 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.
Mills, Daniel S., et al.. (2025). GWAS for behavioral traits in golden retrievers identifies genes implicated in human temperament, mental health, and cognition. Proceedings of the National Academy of Sciences. 122(48). e2421757122–e2421757122.
2.
Raffan, Eleanor, et al.. (2024). The impact of restricted grazing systems on the behaviour and welfare of ponies. Equine Veterinary Journal. 57(3). 737–744. 1 indexed citations
3.
Packer, Rowena M. A., et al.. (2024). Caregiver‐reported increased food motivation and adiposity in dogs receiving antiseizure drugs. Veterinary Record. 195(12). e4907–e4907. 2 indexed citations
4.
Dittmann, Marie T., Gabriella Lakatos, Jacek Mokrosiński, et al.. (2024). Low resting metabolic rate and increased hunger due to β-MSH and β-endorphin deletion in a canine model. Science Advances. 10(10). eadj3823–eadj3823. 5 indexed citations
5.
Raffan, Eleanor, et al.. (2023). Obesity risk factors in British Labrador retrievers: Effect of sex, neuter status, age, chocolate coat colour and food motivation. Veterinary Record. 194(6). e3410–e3410. 7 indexed citations
6.
Pegram, Camilla, Eleanor Raffan, Emily White, et al.. (2021). Frequency, breed predisposition and demographic risk factors for overweight status in dogs in theUK. Journal of Small Animal Practice. 62(7). 521–530. 39 indexed citations
7.
Webb, Thomas L., et al.. (2020). Understanding obesity among companion dogs: New measures of owner’s beliefs and behaviour and associations with body condition scores. Preventive Veterinary Medicine. 180. 105029–105029. 11 indexed citations
8.
Raffan, Eleanor, et al.. (2020). The Genetic Basis of Obesity and Related Metabolic Diseases in Humans and Companion Animals. Genes. 11(11). 1378–1378. 29 indexed citations
9.
Raffan, Eleanor, Stephen Smith, Stephen O’Rahilly, & Jane Wardle. (2015). Development, factor structure and application of the Dog Obesity Risk and Appetite (DORA) questionnaire. PeerJ. 3. e1278–e1278. 36 indexed citations
10.
Raffan, Eleanor, et al.. (2014). The coding sequence of POMC and obesity and appetite in Labrador retriever dogs. The Lancet. 383. S86–S86. 4 indexed citations
11.
Raffan, Eleanor. (2013). The big problem: battling companion animal obesity. Veterinary Record. 173(12). 287–291. 18 indexed citations
12.
Ahmed, Maqbool, Eleanor Raffan, Colin L. Stewart, et al.. (2012). Identification and Characterisation of a Novel Pathogenic Mutation in the Human Lipodystrophy Gene AGPAT2. JIMD Reports. 9. 73–80. 11 indexed citations
13.
Raffan, Eleanor, Liam A. Hurst, Saeed Al Turki, et al.. (2011). Early Diagnosis of Werner's Syndrome Using Exome-Wide Sequencing in a Single, Atypical Patient. SHILAP Revista de lepidopterología. 2. 8–8. 9 indexed citations
14.
Raffan, Eleanor, Maria A. Soos, Nuno Rocha, et al.. (2011). Founder effect in the Horn of Africa for an insulin receptor mutation that may impair receptor recycling. Diabetologia. 54(5). 1057–1065. 9 indexed citations
15.
Raffan, Eleanor & Robert K. Semple. (2011). Next generation sequencing--implications for clinical practice. British Medical Bulletin. 99(1). 53–71. 37 indexed citations
16.
Raffan, Eleanor, J. Loureiro, Joanna Dukes‐McEwan, et al.. (2009). The Cardiac Biomarker NT-proBNP Is Increased in Dogs with Azotemia. Journal of Veterinary Internal Medicine. 23(6). 1184–1189. 28 indexed citations
17.
Raffan, Eleanor, et al.. (2008). Ascites is a Negative Prognostic Indicator in Chronic Hepatitis in Dogs. Journal of Veterinary Internal Medicine. 23(1). 63–66. 29 indexed citations
18.
Raffan, Eleanor, Anja Kipar, P. J. Barber, & Alex Freeman. (2007). Transitional cell carcinoma forming a perirenal cyst in a cat. Journal of Small Animal Practice. 49(3). 144–147. 10 indexed citations
19.
Raffan, Eleanor, et al.. (2006). Standardized Positioning Is Essential for Precise Determination of Body Composition Using Dual-Energy X-Ray Absorptiometry in Dogs. Journal of Nutrition. 136(7). 1976S–1978S. 42 indexed citations
20.

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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