Vanesa M. Tomatis

18 total papers · 622 total citations
12 papers, 437 citations indexed

About

Vanesa M. Tomatis is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vanesa M. Tomatis has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vanesa M. Tomatis's work include Cellular transport and secretion (8 papers), Ubiquitin and proteasome pathways (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Vanesa M. Tomatis is often cited by papers focused on Cellular transport and secretion (8 papers), Ubiquitin and proteasome pathways (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Vanesa M. Tomatis collaborates with scholars based in Australia, United Kingdom and Argentina. Vanesa M. Tomatis's co-authors include Guillermo A. Gómez, José L. Daniotti, Frédéric A. Meunier, Andreas Papadopulos, Rachel S. Gormal, Sally Martin, Nancy T. Malintan, Brett M. Collins, Rafael G. Oliveira and Emma Sierecki and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Vanesa M. Tomatis

12 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Vanesa M. Tomatis 329 234 74 54 34 12 437
Martin Billger 245 0.7× 179 0.8× 91 1.2× 32 0.6× 37 1.1× 22 449
J Lamprecht 239 0.7× 126 0.5× 75 1.0× 34 0.6× 31 0.9× 13 399
Albert W. Probert 241 0.7× 108 0.5× 145 2.0× 68 1.3× 35 1.0× 11 413
Emma Connell 297 0.9× 236 1.0× 90 1.2× 83 1.5× 29 0.9× 11 430
M.R. Nance 349 1.1× 135 0.6× 96 1.3× 21 0.4× 23 0.7× 9 487
Masanao Toshimori 382 1.2× 172 0.7× 49 0.7× 26 0.5× 37 1.1× 9 492
Ken Hatanaka 330 1.0× 207 0.9× 108 1.5× 26 0.5× 89 2.6× 9 451
Ryuichi Nishigaki 278 0.8× 102 0.4× 38 0.5× 51 0.9× 46 1.4× 12 409
Mitchell H. Omar 270 0.8× 94 0.4× 83 1.1× 27 0.5× 30 0.9× 17 421
Ruth Zeidman 399 1.2× 123 0.5× 100 1.4× 39 0.7× 27 0.8× 11 481

Countries citing papers authored by Vanesa M. Tomatis

Since Specialization
Citations

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

Fields of papers citing papers by Vanesa M. Tomatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanesa M. Tomatis

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026