Maria Saigí

113 total papers · 885 total citations
24 papers, 372 citations indexed

About

Maria Saigí is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Maria Saigí has authored 24 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Pulmonary and Respiratory Medicine and 8 papers in Immunology. Recurrent topics in Maria Saigí's work include Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (5 papers) and Lung Cancer Research Studies (5 papers). Maria Saigí is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (5 papers) and Lung Cancer Research Studies (5 papers). Maria Saigí collaborates with scholars based in Spain, United States and France. Maria Saigí's co-authors include Montse Sánchez‐Céspedes, Ernest Nadal, Juan J. Alburquerque-Béjar, Eva Pros, Octavio A. Romero, Élisabeth Brambilla, Manel Esteller, Anna Esteve‐Codina, Javier J. Zulueta and Ángel Díaz‐Lagares and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Maria Saigí

21 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Saigí 198 166 141 103 64 24 372
Rebecca Pharaon 180 0.9× 209 1.3× 164 1.2× 82 0.8× 64 1.0× 27 405
Peter Houghton 169 0.9× 150 0.9× 165 1.2× 76 0.7× 42 0.7× 20 397
Nicole Liscia 130 0.7× 222 1.3× 109 0.8× 104 1.0× 72 1.1× 29 365
Christina Alidousty 209 1.1× 116 0.7× 102 0.7× 131 1.3× 72 1.1× 18 406
Jun Yan 201 1.0× 108 0.7× 98 0.7× 68 0.7× 56 0.9× 22 399
Audrey Le Formal 188 0.9× 204 1.2× 170 1.2× 95 0.9× 95 1.5× 18 418
Corrado Gallo Stampino 184 0.9× 238 1.4× 103 0.7× 58 0.6× 39 0.6× 31 420
Davide Bosso 130 0.7× 129 0.8× 164 1.2× 70 0.7× 40 0.6× 18 356
Kevin S. Quackenbush 227 1.1× 215 1.3× 70 0.5× 111 1.1× 28 0.4× 17 419
Hongge Liang 143 0.7× 173 1.0× 171 1.2× 56 0.5× 41 0.6× 26 362

Countries citing papers authored by Maria Saigí

Since Specialization
Citations

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

Fields of papers citing papers by Maria Saigí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Saigí

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