Vanessa Partridge

10 total papers · 474 total citations
6 papers, 378 citations indexed

About

Vanessa Partridge is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Physiology. According to data from OpenAlex, Vanessa Partridge has authored 6 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Physiology. Recurrent topics in Vanessa Partridge's work include Alzheimer's disease research and treatments (2 papers), Animal Behavior and Reproduction (2 papers) and Medicinal Plants and Neuroprotection (1 paper). Vanessa Partridge is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Animal Behavior and Reproduction (2 papers) and Medicinal Plants and Neuroprotection (1 paper). Vanessa Partridge collaborates with scholars based in Canada, United States and Bulgaria. Vanessa Partridge's co-authors include Adriana Ducatenzeiler, Maria Teresa Ferretti, S.T.M. Allard, A. Claudio Cuello, John Buckland‐Nicks, Moshe Szyf, Wanda León, F. Vercauteren, Fabio Canneva and William L. Klein and has published in prestigious journals such as Journal of Alzheimer s Disease, Journal of Neuroinflammation and Biological Bulletin.

In The Last Decade

Vanessa Partridge

6 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Vanessa Partridge 227 106 87 75 52 6 378
Aida Adlimoghaddam 123 0.5× 61 0.6× 56 0.6× 108 1.4× 39 0.8× 12 365
Andrew R. Gustavson 190 0.8× 188 1.8× 54 0.6× 62 0.8× 64 1.2× 8 367
Shannon Leslie 202 0.9× 130 1.2× 117 1.3× 109 1.5× 38 0.7× 12 368
Angela Holly Villamagna 183 0.8× 64 0.6× 65 0.7× 56 0.7× 51 1.0× 9 377
Beverly J. French 43 0.2× 24 0.2× 71 0.8× 154 2.1× 93 1.8× 18 412
Vanessa Kazlauckas 73 0.3× 47 0.4× 125 1.4× 72 1.0× 52 1.0× 10 415
Amy S. Fisher 134 0.6× 26 0.2× 176 2.0× 148 2.0× 19 0.4× 13 422
James Lui 215 0.9× 35 0.3× 21 0.2× 71 0.9× 12 0.2× 4 385
Nicole Berchtold 164 0.7× 61 0.6× 57 0.7× 226 3.0× 40 0.8× 5 407
Anita Kurunczi 67 0.3× 40 0.4× 82 0.9× 67 0.9× 9 0.2× 10 356

Countries citing papers authored by Vanessa Partridge

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Partridge

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Partridge. A scholar is included among the top collaborators of Vanessa Partridge 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 Vanessa Partridge. Vanessa Partridge 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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