Rosana Álvarez

227 total papers · 6.0k total citations
169 papers, 5.0k citations indexed

About

Rosana Álvarez is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rosana Álvarez has authored 169 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Organic Chemistry, 61 papers in Molecular Biology and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rosana Álvarez's work include Catalytic Cross-Coupling Reactions (29 papers), Asymmetric Synthesis and Catalysis (27 papers) and Catalytic C–H Functionalization Methods (26 papers). Rosana Álvarez is often cited by papers focused on Catalytic Cross-Coupling Reactions (29 papers), Asymmetric Synthesis and Catalysis (27 papers) and Catalytic C–H Functionalization Methods (26 papers). Rosana Álvarez collaborates with scholars based in Spain, France and United States. Rosana Álvarez's co-authors include Ángel R. de Lera, Olalla Nieto Faza, Belén Vaz, Carlos Silva López, Hinrich Gronemeyer, José M. Aurrecoechea, Susana Álvarez, Marta Domínguez, Álvaro Iglesias and Kilian Muñiz and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Rosana Álvarez

169 papers receiving 5.0k citations

Author Peers

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

Author Last Decade Papers Cites
Rosana Álvarez 2.9k 1.8k 527 346 273 169 5.0k
Hideko Nagasawa 1.8k 0.6× 2.4k 1.4× 199 0.4× 531 1.5× 222 0.8× 195 6.6k
Takamitsu Hosoya 5.1k 1.7× 2.8k 1.6× 384 0.7× 268 0.8× 264 1.0× 266 8.2k
Masatoshi Shibuya 2.6k 0.9× 2.7k 1.5× 468 0.9× 211 0.6× 429 1.6× 144 6.9k
George Kokotos 1.9k 0.7× 3.1k 1.7× 309 0.6× 167 0.5× 407 1.5× 197 5.4k
Kenji Monde 2.1k 0.7× 2.5k 1.4× 174 0.3× 280 0.8× 248 0.9× 199 5.4k
Shiro Ikegami 3.6k 1.2× 2.1k 1.2× 450 0.9× 422 1.2× 126 0.5× 238 5.7k
Ye Zhang 1.7k 0.6× 1.7k 1.0× 196 0.4× 506 1.5× 577 2.1× 191 4.5k
Liangren Zhang 2.3k 0.8× 2.7k 1.6× 268 0.5× 343 1.0× 151 0.6× 236 6.1k
Hongbin Sun 1.8k 0.6× 3.6k 2.1× 215 0.4× 397 1.1× 109 0.4× 211 7.3k
Francesco Nicotra 2.3k 0.8× 2.6k 1.5× 193 0.4× 405 1.2× 174 0.6× 214 5.2k

Countries citing papers authored by Rosana Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Rosana Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosana Álvarez

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