Freya Smith

765 total citations
11 papers, 75 citations indexed

About

Freya Smith is a scholar working on Agronomy and Crop Science, Infectious Diseases and Microbiology. According to data from OpenAlex, Freya Smith has authored 11 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 4 papers in Infectious Diseases and 4 papers in Microbiology. Recurrent topics in Freya Smith's work include Animal Disease Management and Epidemiology (5 papers), Microbial infections and disease research (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Freya Smith is often cited by papers focused on Animal Disease Management and Epidemiology (5 papers), Microbial infections and disease research (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Freya Smith collaborates with scholars based in United Kingdom, France and Ireland. Freya Smith's co-authors include Richard J. Delahay, Robbie A. McDonald, Andrew Robertson, Andrew J. Young, Terry Burke, David J. Hodgson, Dipesh Davé, Eamonn Gormley, Sandrine Lesellier and Mark A. Chambers and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Animal Ecology.

In The Last Decade

Freya Smith

10 papers receiving 72 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Freya Smith United Kingdom	6	28	26	25	19	16	11	75
Ken Sojonky Canada	5	55 2.0×	37 1.4×	51 2.0×	53 2.8×	22 1.4×	6	148
Jolene A. Giacinti Canada	6	12 0.4×	23 0.9×	19 0.8×	38 2.0×	4 0.3×	20	93
Elinor Jax Sweden	5	24 0.9×	17 0.7×	10 0.4×	28 1.5×	5 0.3×	9	81
Kristyna Rysava United Kingdom	6	19 0.7×	28 1.1×	5 0.2×	38 2.0×	10 0.6×	12	88
Julie North United States	3	8 0.3×	40 1.5×	21 0.8×	20 1.1×	10 0.6×	5	89
Steven Fiddaman United Kingdom	7	28 1.0×	29 1.1×	14 0.6×	25 1.3×	2 0.1×	12	111
Timothy Linder United States	4	13 0.5×	150 5.8×	22 0.9×	10 0.5×	4 0.3×	7	185
Paulo P. Ferreira Brazil	3	67 2.4×	9 0.3×	9 0.4×	24 1.3×	6 0.4×	4	102
André Burger United Kingdom	6	81 2.9×	92 3.5×	8 0.3×	20 1.1×	6 0.4×	15	198
Rebecca K. Borchering United States	9	14 0.5×	62 2.4×	8 0.3×	49 2.6×	4 0.3×	14	148

Countries citing papers authored by Freya Smith

Since Specialization

Citations

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

Fields of papers citing papers by Freya Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freya Smith

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

All Works

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11 of 11 papers shown

1.

Jinks, Rachel C., Sandrine Lesellier, Freya Smith, et al.. (2025). Evaluating sensitivity and specificity of the DPP Vet TB assay in badgers using Bayesian latent class models. PLoS ONE. 20(3). e0313825–e0313825.

2.

Smith, Freya, et al.. (2021). A novel approach for trap-side restraint and blood sampling in European badgers. European Journal of Wildlife Research. 67(5). 3 indexed citations

3.

Delahay, Richard J., et al.. (2021). Serologic responses correlate with current but not future bacterial shedding in badgers naturally infected with Mycobacterium bovis. Transboundary and Emerging Diseases. 69(4). 1922–1932. 2 indexed citations

4.

Ashford, Roland T., Paul Anderson, Dipesh Davé, et al.. (2020). Evaluation of the Dual Path Platform (DPP) VetTB assay for the detection of Mycobacterium bovis infection in badgers. Preventive Veterinary Medicine. 180. 105005–105005. 16 indexed citations

5.

Smith, Freya, Graham Smith, Peter Gill, et al.. (2020). Estimating wildlife vaccination coverage using genetic methods. Preventive Veterinary Medicine. 183. 105096–105096. 3 indexed citations

6.

Smith, Freya, et al.. (2020). Badger vaccination in England: Progress, operational effectiveness and participant motivations. People and Nature. 2(3). 761–775. 10 indexed citations

7.

Cunningham, Andrew A., et al.. (2019). Apparent absence of Batrachochytrium salamandrivorans in wild urodeles in the United Kingdom. Scientific Reports. 9(1). 2831–2831. 5 indexed citations

8.

Duff, J. Paul, et al.. (2019). 20 years of national wildlife disease surveillance. Veterinary Record. 184(17). 520–521. 6 indexed citations

9.

Delahay, Richard J., Freya Smith, Andrew Robertson, et al.. (2018). Inbreeding intensifies sex‐ and age‐dependent disease in a wild mammal. Journal of Animal Ecology. 87(6). 1500–1511. 22 indexed citations

10.

Olney, Peter, et al.. (1984). Breeding and hand‐rearing the Andean condor at London Zoo. International Zoo Yearbook. 23(1). 7–11. 6 indexed citations

11.

Olney, Peter, et al.. (1983). Breeding and hand-rearing the Andean condor at London Zoo.. International Zoo Yearbook. 23(1). 7–11. 2 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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