A. Davis

1.2k total citations
32 papers, 627 citations indexed

About

A. Davis is a scholar working on Molecular Biology, Parasitology and Epidemiology. According to data from OpenAlex, A. Davis has authored 32 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Parasitology and 4 papers in Epidemiology. Recurrent topics in A. Davis's work include Parasites and Host Interactions (10 papers), Prion Diseases and Protein Misfolding (9 papers) and Neurological diseases and metabolism (3 papers). A. Davis is often cited by papers focused on Parasites and Host Interactions (10 papers), Prion Diseases and Protein Misfolding (9 papers) and Neurological diseases and metabolism (3 papers). A. Davis collaborates with scholars based in United Kingdom, United States and Australia. A. Davis's co-authors include J. E. Biles, Anna Ulrich, Elil Renganathan, Lorenzo Savioli, K. Behbehani, Antonio Montresor, Marion M. Simmons, Timm Konold, Y. I. Spencer and G. Webbe and has published in prestigious journals such as JAMA, Journal of General Virology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

In The Last Decade

A. Davis

30 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Davis United Kingdom	15	287	220	131	116	91	32	627
Pyo Yun Cho South Korea	12	348 1.2×	83 0.4×	177 1.4×	86 0.7×	17 0.2×	37	513
Quentin Bickle United Kingdom	12	356 1.2×	62 0.3×	224 1.7×	91 0.8×	45 0.5×	14	765
Ju Yeong Kim South Korea	11	117 0.4×	73 0.3×	43 0.3×	31 0.3×	46 0.5×	59	455
Dalia S. Ashour Egypt	13	280 1.0×	119 0.5×	158 1.2×	17 0.1×	9 0.1×	42	577
A. Avagyan Germany	10	218 0.8×	189 0.9×	93 0.7×	47 0.4×	12 0.1×	12	751
Tong-Soo Kim South Korea	11	291 1.0×	86 0.4×	117 0.9×	45 0.4×	19 0.2×	21	530
Workineh Torben United States	19	535 1.9×	84 0.4×	358 2.7×	130 1.1×	79 0.9×	28	745
Chien‐Wen Su United States	11	164 0.6×	243 1.1×	48 0.4×	45 0.4×	7 0.1×	27	494
Soraya Gaze Brazil	17	640 2.2×	162 0.7×	302 2.3×	123 1.1×	32 0.4×	28	995
Anna Zawistowska‐Deniziak Poland	14	208 0.7×	124 0.6×	95 0.7×	31 0.3×	4 0.0×	36	467

Countries citing papers authored by A. Davis

Since Specialization

Citations

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

Fields of papers citing papers by A. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Davis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gurumurthy, Meera, et al.. (2025). Treatment outcomes in people with diabetes and multidrug-resistant tuberculosis (MDR TB) enrolled in the STREAM clinical trial. PLOS Global Public Health. 5(4). e0004259–e0004259.

Martin, P.A.J., Susan Gibson‐Kueh, David L. Morgan, et al.. (2017). First detection ofEdwardsiella ictaluri(Proteobacteria: Enterobacteriaceae) in wild Australian catfish. Journal of Fish Diseases. 41(2). 199–208. 8 indexed citations

Daniels, Peter T., Chris Morrissy, Paul Selleck, et al.. (2014). Development of Veterinary Laboratory Networks for Avian Influenza and Other Emerging Infectious Disease Control: The Southeast Asian Experience. EcoHealth. 11(1). 44–49. 4 indexed citations

Traub, Rebecca J., et al.. (2010). Prevalence of Cysticercus bovis in Australian cattle. Australian Veterinary Journal. 88(7). 260–262. 10 indexed citations

Stack, M.J., S. Jo Moore, A. Davis, et al.. (2010). Bovine Spongiform Encephalopathy: Investigation of Phenotypic Variation among Passive Surveillance Cases. Journal of Comparative Pathology. 144(4). 277–288. 15 indexed citations

Dexter, G., Sue C. Tongue, L. Heasman, et al.. (2009). The evaluation of exposure risks for natural transmission of scrapie within an infected flock. BMC Veterinary Research. 5(1). 38–38. 19 indexed citations

Simmons, Hugh, M. M. Simmons, Y. I. Spencer, et al.. (2009). Atypical scrapie in sheep from a UK research flock which is free from classical scrapie. BMC Veterinary Research. 5(1). 8–8. 41 indexed citations

Allison, Gordon, Pauline Rees Stevens, L. Heasman, et al.. (2008). Effect of scrapie incubation on the concentrations of plasma amino acids and L-lactate in infected lambs. Veterinary Research Communications. 32(8). 591–597. 1 indexed citations

Konold, Timm, Alberto Vidal‐Diez, Raül Tortosa, et al.. (2008). Pruritus is a common feature in sheep infected with the BSE agent. BMC Veterinary Research. 4(1). 16–16. 29 indexed citations

10.

Konold, Timm, A. Davis, Melanie Chaplin, et al.. (2007). Clinical findings in two cases of atypical scrapie in sheep: a case report. BMC Veterinary Research. 3(1). 2–2. 36 indexed citations

11.

Arnold, Mark, J. B. M. Ryan, Timm Konold, et al.. (2007). Estimating the temporal relationship between PrPSc detection and incubation period in experimental bovine spongiform encephalopathy of cattle. Journal of General Virology. 88(11). 3198–3208. 46 indexed citations

12.

Charlton, Adrian J., et al.. (2005). Scrapie infection alters the distribution of plasma metabolites in diseased Cheviot sheep indicating a change in energy metabolism. Research in Veterinary Science. 80(3). 275–280. 8 indexed citations

13.

Davis, A.. (2003). Clinical trials in parasitic diseases. Transactions of the Royal Society of Tropical Medicine and Hygiene. 98(3). 139–141. 10 indexed citations

14.

Davis, A.. (2000). The Professor Gerald Webbe Memorial lecture: Global control of schistosomiasis. Transactions of the Royal Society of Tropical Medicine and Hygiene. 94(6). 609–615. 2 indexed citations

15.

Savioli, Lorenzo, Elil Renganathan, Antonio Montresor, A. Davis, & K. Behbehani. (1997). Control of schistosomiasis — A global picture. Parasitology Today. 13(11). 444–448. 70 indexed citations

16.

Davis, A., Bryan A. White, & Matthew B. Wheeler. (1993). A TaqI RFLP at the porcine low density lipoprotein receptor (LDLR) locus. Animal Genetics. 24(4). 330–330. 2 indexed citations

17.

Davis, A., P. Jordan, G. Webbe, & R. F. Sturrock. (1993). Antischistosomal drugs and clinical practice.. 367–404. 29 indexed citations

18.

Davis, A., et al.. (1990). The epidemiology and chemotherapy of schistosomiasis and other snail-borne trematode infections.. Japanese Journal of Tropical Medicine and Hygiene. 18(3). 215–228. 1 indexed citations

19.

Davis, A., et al.. (1981). The schistosomiasis problem in the world: results of a WHO questionnaire survey.. PubMed. 59(1). 115–27. 61 indexed citations

20.

Davis, A.. (1981). Goals of applied chemotherapeutic research in schistosomiasis.. PubMed. 22(1 Suppl 4). 73–6, 190. 1 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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