Dídac Casas‐Alba

554 total citations
20 papers, 248 citations indexed

About

Dídac Casas‐Alba is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Dídac Casas‐Alba has authored 20 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Dídac Casas‐Alba's work include Genetics and Neurodevelopmental Disorders (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Dídac Casas‐Alba is often cited by papers focused on Genetics and Neurodevelopmental Disorders (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Dídac Casas‐Alba collaborates with scholars based in Spain, United States and Belgium. Dídac Casas‐Alba's co-authors include Carmen Muñoz‐Almagro, Cristian Launes, Mercedes Serrano, Antonio Federico Martínez‐Monseny, Thaís Armangué, María Cabrerizo, Iolanda Jordán, Jordi Muchart, Daniel Cuadras and Ana Valero and has published in prestigious journals such as Neurology, Annals of Neurology and Scientific Reports.

In The Last Decade

Dídac Casas‐Alba

17 papers receiving 247 citations

Peers

Dídac Casas‐Alba
Comparison fields: 5 of 55
  • Molecular Biology 126
  • Infectious Diseases 59
  • Cardiology and Cardiovascular Medicine 54
  • Genetics 43
  • Epidemiology 40
Replace Zongbo Chen with:
Zongbo Chen China
Liying Liu China
Dinesh Kabra India
Vikas Ghai United States
Lesley H. Wise United Kingdom
Cindy Rechner Germany
Mary T. Bausch-Jurken United States
Qiujiang Du Canada
K Kawanishi Japan
Min Xiang China
Zongbo Chen China View profile →
Citations per field, relative to Dídac Casas‐Alba
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Citations per year, relative to Dídac Casas‐Alba
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Countries citing papers authored by Dídac Casas‐Alba

Since Specialization
Citations

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

Fields of papers citing papers by Dídac Casas‐Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dídac Casas‐Alba. 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 Dídac Casas‐Alba. The network helps show where Dídac Casas‐Alba may publish in the future.

Co-authorship network of co-authors of Dídac Casas‐Alba

This figure shows the co-authorship network connecting the top 25 collaborators of Dídac Casas‐Alba. A scholar is included among the top collaborators of Dídac Casas‐Alba 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 Dídac Casas‐Alba. Dídac Casas‐Alba 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 0
2 0
3 0
4 1
5 3
6 4
7 6
8 7
9 32
10 3
11 21
12 7
13 48
14 15
15 1
16 5
17 26
18 14
19 50
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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