A.M. Wade-Evans

855 total citations
23 papers, 724 citations indexed

About

A.M. Wade-Evans is a scholar working on Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, A.M. Wade-Evans has authored 23 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, Evolution, Behavior and Systematics, 13 papers in Infectious Diseases and 13 papers in Agronomy and Crop Science. Recurrent topics in A.M. Wade-Evans's work include Vector-Borne Animal Diseases (16 papers), Animal Disease Management and Epidemiology (13 papers) and Viral Infections and Vectors (9 papers). A.M. Wade-Evans is often cited by papers focused on Vector-Borne Animal Diseases (16 papers), Animal Disease Management and Epidemiology (13 papers) and Viral Infections and Vectors (9 papers). A.M. Wade-Evans collaborates with scholars based in United Kingdom, United States and Australia. A.M. Wade-Evans's co-authors include John R. Jenkins, Peter Mertens, Christopher J. Bostock, Peter M. Chumakov, Christine M. Addison, H W Stürzbecher, Viviana Teresa Orlandi, C. Hamblin, Antonio Toniolo and Luigi Biancone and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

A.M. Wade-Evans

23 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.M. Wade-Evans United Kingdom 13 329 325 266 215 180 23 724
Hanxin Lu United States 18 399 1.2× 170 0.5× 169 0.6× 352 1.6× 52 0.3× 26 1.3k
Kate Hole Canada 16 103 0.3× 218 0.7× 331 1.2× 294 1.4× 117 0.7× 28 849
Thi Lien-Anh Nguyên Belgium 15 134 0.4× 90 0.3× 97 0.4× 340 1.6× 201 1.1× 23 868
I. W. Halliburton United Kingdom 21 54 0.2× 69 0.2× 73 0.3× 222 1.0× 129 0.7× 38 1.2k
Isabelle Schwartz‐Cornil France 16 92 0.3× 69 0.2× 109 0.4× 123 0.6× 66 0.4× 22 837
M E Andrew Australia 16 159 0.5× 64 0.2× 93 0.3× 123 0.6× 62 0.3× 20 803
Juan Pablo Jaworski Argentina 12 92 0.3× 112 0.3× 158 0.6× 120 0.6× 32 0.2× 22 503
J K Battles United States 12 125 0.4× 50 0.2× 88 0.3× 114 0.5× 58 0.3× 12 477
C A Bohan United States 13 180 0.5× 69 0.2× 95 0.4× 257 1.2× 65 0.4× 14 762
Jayati Mullick India 15 246 0.7× 10 0.0× 142 0.5× 107 0.5× 63 0.3× 35 791

Countries citing papers authored by A.M. Wade-Evans

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Wade-Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M. Wade-Evans. 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.M. Wade-Evans. The network helps show where A.M. Wade-Evans may publish in the future.

Co-authorship network of co-authors of A.M. Wade-Evans

This figure shows the co-authorship network connecting the top 25 collaborators of A.M. Wade-Evans. A scholar is included among the top collaborators of A.M. Wade-Evans 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.M. Wade-Evans. A.M. Wade-Evans 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.
Ferguson, David, A.M. Wade-Evans, P. Silvera, et al.. (2007). Preparation and characterization of new challenge stocks of SIVmac32H J5 following rapid serial passage of virus in vivo. Journal of Medical Primatology. 36(3). 131–142. 6 indexed citations
2.
3.
Wade-Evans, A.M., Jim Stott, Tomáš Hanke, et al.. (2001). Specific Proliferative T Cell Responses and Antibodies Elicited by Vaccination with Simian Immunodeficiency Virus Nef Do Not Confer Protection against Virus Challenge. AIDS Research and Human Retroviruses. 17(16). 1517–1526. 6 indexed citations
4.
Wade-Evans, A.M., et al.. (2001). Cloning and Sequencing of Cynomolgus Macaque CCR3, GPR15, and STRL33: Potential Coreceptors for HIV Type 1, HIV Type 2, and SIV. AIDS Research and Human Retroviruses. 17(4). 371–375. 4 indexed citations
5.
Conaldi, Pier Giulio, Luigi Biancone, Antonella Bottelli, et al.. (1998). HIV-1 kills renal tubular epithelial cells in vitro by triggering an apoptotic pathway involving caspase activation and Fas upregulation.. Journal of Clinical Investigation. 102(12). 2041–2049. 139 indexed citations
6.
Hamblin, C., et al.. (1998). Bluetongue virus serotypes 1 and 3 infection in Poll Dorset sheep. Australian Veterinary Journal. 76(9). 622–629. 19 indexed citations
7.
Wade-Evans, A.M., L. Pullen, C. Hamblin, et al.. (1998). VP7 from African horse sickness virus serotype 9 protects mice against a lethal, heterologous serotype challenge. PubMed. 14. 211–219. 5 indexed citations
8.
Wade-Evans, A.M., et al.. (1997). African horsesickness virus VP7 sub-unit vaccine protects mice against a lethal, heterologous serotype challenge.. Journal of General Virology. 78(7). 1611–1616. 16 indexed citations
9.
10.
Zientara, Stéphan, et al.. (1995). Application of the polymerase chain reaction to the detection of African horse sickness viruses. Journal of Virological Methods. 53(1). 47–54. 17 indexed citations
11.
Rawlings, Peter, J. N. Burroughs, Martin Wellby, et al.. (1995). Proteolytic cleavage of VP2, an outer capsid protein of African horse sickness virus, by species-specific serum proteases enhances infectivity in Culicoides. Journal of General Virology. 76(10). 2607–2611. 12 indexed citations
12.
Pritchard, L.I., A.R. Gould, William C. Wilson, et al.. (1995). Complete nucleotide sequence of RNA segment 3 of bluetongue virus serotype 2 (Ona-A). Phylogenetic analyses reveal the probable origin and relationship with other orbiviruses. Virus Research. 35(3). 247–261. 51 indexed citations
13.
Wade-Evans, A.M., et al.. (1993). The use of African horse sickness virus VP7 antigen, synthesised in bacteria, and anti-VP7 monoclonal antibodies in a competitive ELISA. Journal of Virological Methods. 45(2). 179–188. 26 indexed citations
14.
15.
Wade-Evans, A.M.. (1990). Complete sequence of genome segment 10, encoding the NS3 protein, of bluetongue virus, serotype 1 from South Africa. Nucleic Acids Research. 18(16). 4920–4920. 6 indexed citations
16.
17.
Wade-Evans, A.M.. (1990). The complete nucleotide sequence of genome segment 7 of bluetongue virus, serotype 1 from South Africa. Nucleic Acids Research. 18(16). 4919–4919. 10 indexed citations
18.
Wade-Evans, A.M., Peter Mertens, & Christopher J. Bostock. (1990). Development of the polymerase chain reaction for the detection of bluetongue virus in tissue samples. Journal of Virological Methods. 30(1). 15–24. 63 indexed citations
19.
Takamatsu, H., J. N. Burroughs, A.M. Wade-Evans, & Peter Mertens. (1990). Identification of a bluetongue virus serotype 1-specific ovine helper T-cell determinant in outer capsid protein VP2. Virology. 177(1). 396–400. 11 indexed citations
20.
Wade-Evans, A.M., et al.. (1988). Sequence analysis and in vitro expression of a cDNA clone of genome segment 5 from bluetongue virus, serotype 1 from South Africa. Virus Research. 11(3). 227–240. 26 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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