Alison M. Vine

598 total citations
8 papers, 475 citations indexed

About

Alison M. Vine is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Alison M. Vine has authored 8 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Agronomy and Crop Science. Recurrent topics in Alison M. Vine's work include T-cell and Retrovirus Studies (7 papers), Vector-Borne Animal Diseases (6 papers) and Animal Disease Management and Epidemiology (5 papers). Alison M. Vine is often cited by papers focused on T-cell and Retrovirus Studies (7 papers), Vector-Borne Animal Diseases (6 papers) and Animal Disease Management and Epidemiology (5 papers). Alison M. Vine collaborates with scholars based in United Kingdom, United States and Japan. Alison M. Vine's co-authors include Charles R. M. Bangham, Mitsuhiro Osame, Koichiro Usuku, Aviva Witkover, Shuji Izumo, Alun L. Lloyd, Katie Jeffery, Mike Bunce, Asna A. Siddiqui and Kenneth I. Welsh and has published in prestigious journals such as The Journal of Immunology, Philosophical Transactions of the Royal Society B Biological Sciences and The Journal of Infectious Diseases.

In The Last Decade

Alison M. Vine

8 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alison M. Vine United Kingdom	8	442	295	246	22	21	8	475
BRIAN HJELLE United States	8	261 0.6×	219 0.7×	196 0.8×	21 1.0×	37 1.8×	9	349
Aviva Witkover United Kingdom	13	593 1.3×	450 1.5×	385 1.6×	62 2.8×	30 1.4×	16	673
Trudie M. Hartley United States	10	431 1.0×	398 1.3×	341 1.4×	5 0.2×	21 1.0×	13	461
Ester Teresa González Argentina	9	196 0.4×	190 0.6×	147 0.6×	34 1.5×	45 2.1×	19	335
L LaGrenade Jamaica	7	423 1.0×	336 1.1×	309 1.3×	9 0.4×	16 0.8×	10	452
R. Kettmann Belgium	7	283 0.6×	224 0.8×	187 0.8×	70 3.2×	20 1.0×	12	332
Silvane Braga Santos Brazil	12	322 0.7×	166 0.6×	125 0.5×	12 0.5×	27 1.3×	21	380
Haruko Komoda Japan	8	755 1.7×	625 2.1×	572 2.3×	18 0.8×	23 1.1×	9	784
Marie-Hélène Cavanagh Canada	7	274 0.6×	230 0.8×	221 0.9×	50 2.3×	64 3.0×	7	359
Kunihiro Notake Japan	6	315 0.7×	239 0.8×	215 0.9×	29 1.3×	13 0.6×	10	358

Countries citing papers authored by Alison M. Vine

Since Specialization

Citations

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

Fields of papers citing papers by Alison M. Vine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison M. Vine. 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 Alison M. Vine. The network helps show where Alison M. Vine may publish in the future.

Co-authorship network of co-authors of Alison M. Vine

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

All Works

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8 of 8 papers shown

O’Connor, Geraldine M., Aidan MacNamara, Alison M. Vine, et al.. (2012). In contrast to HIV, KIR3DS1 does not influence outcome in HTLV-1 retroviral infection. Human Immunology. 73(8). 783–787. 7 indexed citations

MacNamara, Aidan, Alison M. Vine, Chloe L. Thio, et al.. (2011). KIR2DL2 Enhances Protective and Detrimental HLA Class I-Mediated Immunity in Chronic Viral Infection. PLoS Pathogens. 7(10). e1002270–e1002270. 62 indexed citations

Vine, Alison M., Adrian Heaps, Angelina J. Mosley, et al.. (2004). The Role of CTLs in Persistent Viral Infection: Cytolytic Gene Expression in CD8+ Lymphocytes Distinguishes between Individuals with a High or Low Proviral Load of Human T Cell Lymphotropic Virus Type 1. The Journal of Immunology. 173(8). 5121–5129. 71 indexed citations

Sabouri, Amir H., Mineki Saito, Alun L. Lloyd, et al.. (2004). Polymorphism in the Interleukin‐10 Promoter Affects Both Provirus Load and the Risk of Human T Lymphotropic Virus Type I–Associated Myelopathy/Tropical Spastic Paraparesis. The Journal of Infectious Diseases. 190(7). 1279–1285. 46 indexed citations

Vine, Alison M., Aviva Witkover, Alun L. Lloyd, et al.. (2002). Polygenic Control of Human T Lymphotropic Virus Type I (HTLV‐I) Provirus Load and the Risk of HTLV‐I–Associated Myelopathy/Tropical Spastic Paraparesis. The Journal of Infectious Diseases. 186(7). 932–939. 72 indexed citations

Jeffery, Katie, Asna A. Siddiqui, Mike Bunce, et al.. (2000). The Influence of HLA Class I Alleles and Heterozygosity on the Outcome of Human T Cell Lymphotropic Virus Type I Infection. The Journal of Immunology. 165(12). 7278–7284. 173 indexed citations

Vine, Alison M., et al.. (1999). Cytokine gene expression following neural grafts. Experimental Brain Research. 126(3). 281–288. 9 indexed citations

Bangham, Charles R. M., Sarah E. Hall, Katie Jeffery, et al.. (1999). Genetic control and dynamics of the cellular immune response to the human T–cell leukaemia virus, HTLV–I. Philosophical Transactions of the Royal Society B Biological Sciences. 354(1384). 691–700. 35 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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