S. F. E. Scholes

1.2k total citations
51 papers, 678 citations indexed

About

S. F. E. Scholes is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, S. F. E. Scholes has authored 51 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 12 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Agronomy and Crop Science. Recurrent topics in S. F. E. Scholes's work include Vector-Borne Animal Diseases (12 papers), Animal Disease Management and Epidemiology (11 papers) and Microbial infections and disease research (8 papers). S. F. E. Scholes is often cited by papers focused on Vector-Borne Animal Diseases (12 papers), Animal Disease Management and Epidemiology (11 papers) and Microbial infections and disease research (8 papers). S. F. E. Scholes collaborates with scholars based in United Kingdom, Germany and United States. S. F. E. Scholes's co-authors include Camille Vaillant, Philip J. Peacock, D. F. Kelly, Martin Beer, A. Otter, Kore Schlottau, Dirk W. Höper, M. Jeffrey, Florian Pfaff and Bernd Hoffmann and has published in prestigious journals such as PLoS ONE, Emerging infectious diseases and Genomics.

In The Last Decade

S. F. E. Scholes

49 papers receiving 649 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. F. E. Scholes United Kingdom 16 279 185 163 151 121 51 678
Chang-Hee Kweon South Korea 17 492 1.8× 336 1.8× 164 1.0× 171 1.1× 109 0.9× 35 732
F. Hill Hong Kong 16 232 0.8× 137 0.7× 408 2.5× 322 2.1× 67 0.6× 52 826
D. E. Mattson United States 13 215 0.8× 150 0.8× 148 0.9× 99 0.7× 32 0.3× 25 509
Jung‐Yong Yeh South Korea 15 285 1.0× 47 0.3× 204 1.3× 185 1.2× 127 1.0× 52 744
Katinka Belák Sweden 14 215 0.8× 208 1.1× 278 1.7× 195 1.3× 142 1.2× 28 607
Murray Hazlett Canada 12 363 1.3× 221 1.2× 334 2.0× 249 1.6× 112 0.9× 27 627
T. J. Rasool India 17 225 0.8× 128 0.7× 313 1.9× 210 1.4× 136 1.1× 47 896
Nora Dinhopl Austria 14 131 0.5× 107 0.6× 111 0.7× 62 0.4× 74 0.6× 28 620
B. Makoschey Germany 14 312 1.1× 99 0.5× 302 1.9× 257 1.7× 81 0.7× 46 760
Hermann Nieper Germany 12 180 0.6× 180 1.0× 86 0.5× 100 0.7× 62 0.5× 18 587

Countries citing papers authored by S. F. E. Scholes

Since Specialization
Citations

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

Fields of papers citing papers by S. F. E. Scholes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. F. E. Scholes

This figure shows the co-authorship network connecting the top 25 collaborators of S. F. E. Scholes. A scholar is included among the top collaborators of S. F. E. Scholes 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. F. E. Scholes. S. F. E. Scholes 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.
Letko, Anna, et al.. (2023). Loss-of-function variant in the ovine TMCO6 gene in North Country Cheviot sheep with motor neuron disease. Genomics. 115(5). 110689–110689. 1 indexed citations
2.
Letko, Anna, Irene M. Häfliger, Timothy Geraghty, et al.. (2020). Deleterious AGXT Missense Variant Associated with Type 1 Primary Hyperoxaluria (PH1) in Zwartbles Sheep. Genes. 11(10). 1147–1147. 3 indexed citations
3.
Letko, Anna, et al.. (2020). Compound heterozygous PLA2G6 loss-of-function variants in Swaledale sheep with neuroaxonal dystrophy. Molecular Genetics and Genomics. 296(1). 235–242. 4 indexed citations
4.
Scholes, S. F. E., et al.. (2020). Selection of baseline blood pressure to guide management of hypotension during spinal anaesthesia for caesarean section. International Journal of Obstetric Anesthesia. 45. 130–132. 5 indexed citations
5.
6.
Russell, George C., S. F. E. Scholes, D. F. Twomey, et al.. (2014). Analysis of the genetic diversity of ovine herpesvirus 2 in samples from livestock with malignant catarrhal fever. Veterinary Microbiology. 172(1-2). 63–71. 14 indexed citations
7.
Jeffrey, M., et al.. (2013). GM2 Gangliosidosis in British Jacob Sheep. Journal of Comparative Pathology. 150(2-3). 253–257. 6 indexed citations
8.
Lambton, Sarah, Richard P. Smith, George Caldow, et al.. (2012). Factors Associated with Bovine Neonatal Pancytopenia (BNP) in Calves: A Case-Control Study. PLoS ONE. 7(5). e34183–e34183. 15 indexed citations
9.
Watson, Peter J., et al.. (2012). Haemorrhagic disease in cattle with genotype 1 bovine viral diarrhoea virus infection. Veterinary Record. 171(21). 530–530. 6 indexed citations
10.
Gill, Jennifer, Victoria M. James, Donna K. Harris, et al.. (2011). Identification of congenital muscular dystonia 2 associated with an inherited GlyT2 defect in Belgian Blue cattle from the United Kingdom. Animal Genetics. 43(3). 267–270. 10 indexed citations
11.
Jeffrey, M., S. F. E. Scholes, С. Мартин, et al.. (2011). Increased Immunohistochemical Labelling for Prion Protein Occurs in Diverse Neurological Disorders of Sheep: Relevance for Normal Cellular PrP Function. Journal of Comparative Pathology. 147(1). 46–54. 5 indexed citations
12.
Watson, Penny & S. F. E. Scholes. (2010). Bibersteinia trehalosi necrotising hepatitis associated with sudden death in an adult cow. Veterinary Record. 167(3). 100–102. 7 indexed citations
13.
Slater, Josh, et al.. (2009). Critical assessment of an in vitro bovine respiratory organ culture system: A model of bovine herpesvirus-1 infection. Journal of Virological Methods. 158(1-2). 123–129. 11 indexed citations
14.
Scholes, S. F. E., et al.. (2009). Clostridium perfringens type D epsilon intoxication in one‐day‐old calves. Veterinary Record. 164(26). 816–818. 11 indexed citations
15.
Willoughby, Kim, Francesca Chianini, Mark P. Dagleish, et al.. (2006). Detection of Louping ill virus in clinical specimens from mammals and birds using TaqMan RT-PCR. Journal of Virological Methods. 137(1). 21–28. 15 indexed citations
16.
Watson, Peter J., et al.. (2006). Characteristics, prevalence and aetiology of lesions of the oral mucosa in adult sheep. Veterinary Record. 158(20). 687–689. 4 indexed citations
17.
Watson, Penny & S. F. E. Scholes. (2004). Polioencephalomyelitis of unknown aetiology in a heifer.. PubMed. 154(24). 766–7. 4 indexed citations
18.
Otter, A., et al.. (1997). Results of a survey to determine whether Neospora is a significant cause of ovine abortion in England and Wales. Veterinary Record. 140(7). 175–177. 27 indexed citations
19.
Otter, A., et al.. (1997). Comparison of histology with maternal and fetal serology for the diagnosis of abortion due to bovine neosporosis. Veterinary Record. 141(19). 487–489. 27 indexed citations
20.
Scholes, S. F. E., Camille Vaillant, Philip J. Peacock, G. B. EDWARDS, & D. F. Kelly. (1993). Diagnosis of grass sickness by ileal biopsy. Veterinary Record. 133(1). 7–10. 39 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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