Lourdes Mateu

2.9k citations
48 papers · 474 indexed · h-index 12
Topics
COVID-19 Clinical Research Studies (15 papers)Long-Term Effects of COVID-19 (14 papers)SARS-CoV-2 and COVID-19 Research (10 papers)

In The Last Decade

Lourdes Mateu

47 papers receiving 455 citations

Peers

Lourdes Mateu
Comparison fields: 5 of 91
  • Infectious Diseases 237
  • Neurology 133
  • Epidemiology 107
  • Cardiology and Cardiovascular Medicine 77
  • Surgery 52
Replace Silvana Sanna with:
Silvana Sanna Italy
Natalia E. Castillo Almeida United States
Ananthakrishnan Ramani United States
Khin M. Gyi United Kingdom
Jennifer Foley United States
Hasan Selçuk Özger Türkiye
W.G. Flight United Kingdom
Fernando Salgado Spain
Linna Huang China
Alessandro Torre Italy
Lourdes Mateu relative to Silvana Sanna Italy Silvana Sanna's profile →
Citations per field
00.5×10×15×19.3×
Silvana Sanna · 1×
Citations per year

Countries citing papers authored by Lourdes Mateu

Since Specialization
Citations

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

Fields of papers citing papers by Lourdes Mateu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lourdes Mateu

This figure shows the co-authorship network connecting the top 25 collaborators of Lourdes Mateu. A scholar is included among the top collaborators of Lourdes Mateu 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 Lourdes Mateu. Lourdes Mateu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 4
4 9
5 12
6 1
7 1
8 1
9 66
10
Stable neutralizing-antibody levels 6 months after mild and severe COVID-19 episode
0
11 17
12 7
13 3
14 3
15 31
16 4
17 3
18 5
19 3
20 13

About Lourdes Mateu

Lourdes Mateu is a scholar working on Infectious Diseases, Endocrinology and Microbiology, having authored 48 papers that have together received 474 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (15 papers), Long-Term Effects of COVID-19 (14 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Microbiology (30 citations), Infectious Diseases (237 citations) and Endocrinology (45 citations). Lourdes Mateu has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Antoni Bayés‐Genís, Nieves Sopena, Miquel Sabrià, Núria Vallejo, Albert Teis, Roger Paredes, María Luisa Pedro-Botet, Bonaventura Clotet, Marian García-Núñez and Marta Massanella. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases and Scientific Reports.

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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