Anna Casanovas

53 total papers · 956 total citations
38 papers, 790 citations indexed

About

Anna Casanovas is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Anna Casanovas has authored 38 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Anna Casanovas's work include Amyotrophic Lateral Sclerosis Research (9 papers), Nerve injury and regeneration (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Anna Casanovas is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (9 papers), Nerve injury and regeneration (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Anna Casanovas collaborates with scholars based in Spain, Germany and United States. Anna Casanovas's co-authors include Josep E. Esquerda, Jordi Calderó, Lídia Piedrafita, Olga Tarabal, Marta Hereu, Joan Ribera, V. Riveros‐Moreno, Albert Sorribas, Jaume Rosselló and Elisabet Dachs Cabanas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Anna Casanovas

35 papers receiving 778 citations

Author Peers

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

Author Last Decade Papers Cites
Anna Casanovas 326 247 232 190 129 38 790
Olga Tarabal 295 0.9× 250 1.0× 249 1.1× 208 1.1× 105 0.8× 27 730
Mandi Gandelman 280 0.9× 186 0.8× 340 1.5× 149 0.8× 123 1.0× 17 728
Paula A. Pousinha 240 0.7× 271 1.1× 178 0.8× 84 0.4× 164 1.3× 20 803
Kim A. Staats 352 1.1× 118 0.5× 380 1.6× 199 1.0× 128 1.0× 26 838
Valentina La Cognata 325 1.0× 183 0.7× 217 0.9× 126 0.7× 93 0.7× 48 732
Chunli Zhao 304 0.9× 184 0.7× 219 0.9× 119 0.6× 115 0.9× 48 767
Marie‐Françoise Ritz 350 1.1× 212 0.9× 144 0.6× 65 0.3× 119 0.9× 40 884
So Yoen Choi 506 1.6× 158 0.6× 240 1.0× 96 0.5× 105 0.8× 22 803
Katrin Trautmann 312 1.0× 193 0.8× 105 0.5× 68 0.4× 79 0.6× 26 763
Kadiombo Bantubungi 373 1.1× 346 1.4× 133 0.6× 54 0.3× 182 1.4× 22 869

Countries citing papers authored by Anna Casanovas

Since Specialization
Citations

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

Fields of papers citing papers by Anna Casanovas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Casanovas

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