Ana Canadas‐Sousa

39 total papers · 414 total citations
24 papers, 254 citations indexed

About

Ana Canadas‐Sousa is a scholar working on Pulmonary and Respiratory Medicine, Small Animals and Surgery. According to data from OpenAlex, Ana Canadas‐Sousa has authored 24 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 11 papers in Small Animals and 5 papers in Surgery. Recurrent topics in Ana Canadas‐Sousa's work include Veterinary Oncology Research (19 papers), Infectious Diseases and Mycology (9 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). Ana Canadas‐Sousa is often cited by papers focused on Veterinary Oncology Research (19 papers), Infectious Diseases and Mycology (9 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). Ana Canadas‐Sousa collaborates with scholars based in Portugal, United Kingdom and United States. Ana Canadas‐Sousa's co-authors include Patrícia Dias‐Pereira, Marta Santos, Rui Medeiros, Hugo Vilhena, Pedro Oliveira, Maria João Silva, Jorge Ribeiro, Isabel Pires, Fátima Gärtner and Irina Amorim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Veterinary Pathology.

In The Last Decade

Ana Canadas‐Sousa

23 papers receiving 241 citations

Author Peers

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

Author Last Decade Papers Cites
Ana Canadas‐Sousa 195 92 60 57 47 24 254
Timothy J. Stein 183 0.9× 91 1.0× 79 1.3× 72 1.3× 32 0.7× 24 317
Felipe Augusto Ruiz Sueiro 172 0.9× 93 1.0× 57 0.9× 37 0.6× 29 0.6× 29 204
Cecilia Robat 224 1.1× 114 1.2× 75 1.3× 28 0.5× 33 0.7× 20 312
H. Gamlem 207 1.1× 81 0.9× 118 2.0× 88 1.5× 49 1.0× 18 323
Liliane Cunha Campos 175 0.9× 98 1.1× 26 0.4× 56 1.0× 73 1.6× 19 241
Lisa A. Mestrinho 174 0.9× 95 1.0× 48 0.8× 66 1.2× 30 0.6× 37 281
Lidianne N. Monteiro 168 0.9× 96 1.0× 27 0.5× 44 0.8× 45 1.0× 24 222
Adriana Tomoko Nishiya 105 0.5× 55 0.6× 41 0.7× 58 1.0× 35 0.7× 16 182
M.A. Sánchez 143 0.7× 67 0.7× 91 1.5× 79 1.4× 47 1.0× 20 308
Chad Frank 105 0.5× 74 0.8× 42 0.7× 46 0.8× 23 0.5× 35 296

Countries citing papers authored by Ana Canadas‐Sousa

Since Specialization
Citations

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

Fields of papers citing papers by Ana Canadas‐Sousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Canadas‐Sousa. 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 Ana Canadas‐Sousa. The network helps show where Ana Canadas‐Sousa may publish in the future.

Co-authorship network of co-authors of Ana Canadas‐Sousa

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Canadas‐Sousa. A scholar is included among the top collaborators of Ana Canadas‐Sousa 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 Ana Canadas‐Sousa. Ana Canadas‐Sousa 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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