Alison M. Vine

11 total papers · 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, Koichiro Usuku, Mitsuhiro Osame, Aviva Witkover, Shuji Izumo, Katie Jeffery, Alun L. Lloyd, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alison M. Vine 442 295 246 22 21 8 475
Trudie M. Hartley 431 1.0× 398 1.3× 341 1.4× 5 0.2× 21 1.0× 13 461
Guangyong Ma 319 0.7× 264 0.9× 253 1.0× 76 3.5× 29 1.4× 16 417
Adrian Heaps 374 0.8× 234 0.8× 181 0.7× 21 1.0× 24 1.1× 12 517
Taketo Kawanishi 380 0.9× 285 1.0× 225 0.9× 24 1.1× 16 0.8× 10 419
L LaGrenade 423 1.0× 336 1.1× 309 1.3× 9 0.4× 16 0.8× 10 452
Kazuo Tajima 213 0.5× 144 0.5× 158 0.6× 47 2.1× 21 1.0× 9 417
Y Takiuchi 505 1.1× 400 1.4× 382 1.6× 16 0.7× 20 1.0× 7 526
Eric Wattel 387 0.9× 297 1.0× 258 1.0× 96 4.4× 10 0.5× 9 526
Seiichiro Minato 339 0.8× 208 0.7× 180 0.7× 37 1.7× 14 0.7× 12 418
Uma Sinha-Datta 310 0.7× 208 0.7× 207 0.8× 130 5.9× 34 1.6× 11 440

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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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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