María Casadellà

1.6k total citations
22 papers, 353 citations indexed

About

María Casadellà is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, María Casadellà has authored 22 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 15 papers in Virology and 5 papers in Molecular Biology. Recurrent topics in María Casadellà's work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (12 papers) and HIV/AIDS Research and Interventions (9 papers). María Casadellà is often cited by papers focused on HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (12 papers) and HIV/AIDS Research and Interventions (9 papers). María Casadellà collaborates with scholars based in Spain, United Kingdom and United States. María Casadellà's co-authors include Roger Paredes, Marc Noguera-Julián, Mariona Parera, Bonaventura Clotet, C. Rodríguez, Raph L Hamers, Yolanda Guillén, Tobias F. Rinke de Wit, Muntsa Rocafort and M. Luz Calle and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

María Casadellà

22 papers receiving 353 citations

Peers

María Casadellà
Comparison fields: 5 of 62
  • Infectious Diseases 217
  • Virology 201
  • Molecular Biology 137
  • Epidemiology 67
  • Emergency Medicine 49
Replace Greg K. Tharp with:
Greg K. Tharp United States
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M.-W. Ho Taiwan
Holger Melzl Germany
Patrick Jean-Pierre United States
Jean‐Marie Decazes France
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David Roy Canada
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Greg K. Tharp United States View profile →
Citations per field, relative to María Casadellà
María Casadellà · 1×
Citations per year, relative to María Casadellà
María Casadellà · 1×

Countries citing papers authored by María Casadellà

Since Specialization
Citations

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

Fields of papers citing papers by María Casadellà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Casadellà

This figure shows the co-authorship network connecting the top 25 collaborators of María Casadellà. A scholar is included among the top collaborators of María Casadellà 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 María Casadellà. María Casadellà 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
# Work Indexed citations
1 2
2 2
3 10
4 21
5 3
6 13
7 93
8 8
9 7
10 3
11 16
12 37
13 10
14 3
15 28
16 14
17 22
18 3
19 3
20 5

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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