Sara Calvo

96 total papers · 595 total citations
46 papers, 336 citations indexed

About

Sara Calvo is a scholar working on Neurology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sara Calvo has authored 46 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 9 papers in Epidemiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sara Calvo's work include Parkinson's Disease Mechanisms and Treatments (13 papers), Neurological disorders and treatments (9 papers) and Genetic Neurodegenerative Diseases (7 papers). Sara Calvo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (13 papers), Neurological disorders and treatments (9 papers) and Genetic Neurodegenerative Diseases (7 papers). Sara Calvo collaborates with scholars based in Spain, United States and Cameroon. Sara Calvo's co-authors include Juan M. Soria, Susana Romo, Esther Cubo, Yolanda Picó, Natividad Mariscal, Xavier Sòria‐Perpinyà, Juan Arnáez, Juan Valencia-Ramos, Silvia M. Albillos and María Victoria Perea Bartolomé and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Neurology.

In The Last Decade

Sara Calvo

43 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Calvo 77 49 45 39 36 46 336
Hsin‐Chi Tsai 85 1.1× 19 0.4× 78 1.7× 42 1.1× 9 0.3× 47 400
R. Besser 45 0.6× 70 1.4× 59 1.3× 29 0.7× 13 0.4× 37 365
Mohammad Aftabuddin 18 0.2× 67 1.4× 46 1.0× 53 1.4× 14 0.4× 33 401
B.M. Evans 64 0.8× 38 0.8× 21 0.5× 160 4.1× 67 1.9× 12 395
Emily Underwood 38 0.5× 35 0.7× 46 1.0× 70 1.8× 13 0.4× 77 396
Nguyễn Trung Kiên 16 0.2× 21 0.4× 30 0.7× 44 1.1× 7 0.2× 49 367
Xueyuan Liu 56 0.7× 46 0.9× 61 1.4× 8 0.2× 82 2.3× 34 362
Xiangqin Zhou 115 1.5× 37 0.8× 44 1.0× 26 0.7× 24 0.7× 34 379
Hiroko Ogata 18 0.2× 36 0.7× 56 1.2× 15 0.4× 25 0.7× 35 363
E Bental 61 0.8× 32 0.7× 18 0.4× 118 3.0× 59 1.6× 37 309

Countries citing papers authored by Sara Calvo

Since Specialization
Citations

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

Fields of papers citing papers by Sara Calvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Calvo

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