Susana Salvarezza

13 total papers · 587 total citations
10 papers, 480 citations indexed

About

Susana Salvarezza is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Susana Salvarezza has authored 10 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Susana Salvarezza's work include Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Susana Salvarezza is often cited by papers focused on Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Susana Salvarezza collaborates with scholars based in United States, Argentina and United Kingdom. Susana Salvarezza's co-authors include Enrique Rodríguez-Boulan, Ryan Schreiner, Sylvie Deborde, Ami A. Deora, Emilie Perret, Diego Gravotta, Roberto A. Rovasio, Matthew D. Shair, Eric Macia and Ji‐Long Chen and has published in prestigious journals such as Nature, The FASEB Journal and Journal of Cell Science.

In The Last Decade

Susana Salvarezza

10 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Susana Salvarezza 317 269 60 53 43 10 480
José-Marı́a Trifaró 329 1.0× 247 0.9× 93 1.6× 53 1.0× 34 0.8× 17 502
André Lampe 313 1.0× 250 0.9× 51 0.8× 41 0.8× 40 0.9× 7 499
Fanny Momboisse 324 1.0× 274 1.0× 89 1.5× 86 1.6× 36 0.8× 18 471
Jason O. Burnette 287 0.9× 294 1.1× 50 0.8× 75 1.4× 72 1.7× 7 479
Susumu Higa 301 0.9× 241 0.9× 62 1.0× 23 0.4× 64 1.5× 7 498
Ulrike Honnert 351 1.1× 204 0.8× 44 0.7× 37 0.7× 21 0.5× 11 465
Oliver Thompson 344 1.1× 116 0.4× 35 0.6× 40 0.8× 49 1.1× 9 462
J M Sontag 372 1.2× 275 1.0× 105 1.8× 81 1.5× 44 1.0× 11 539
Takuya Tomemori 314 1.0× 164 0.6× 30 0.5× 75 1.4× 32 0.7× 14 501
Yury J. Sigal 335 1.1× 157 0.6× 45 0.8× 46 0.9× 18 0.4× 9 411

Countries citing papers authored by Susana Salvarezza

Since Specialization
Citations

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

Fields of papers citing papers by Susana Salvarezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Salvarezza

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