Matilde de las Rivas

544 citations
11 papers · 418 indexed · h-index 10
Topics
Glycosylation and Glycoproteins Research (9 papers)Galectins and Cancer Biology (7 papers)Carbohydrate Chemistry and Synthesis (6 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
SpainDenmarkPortugal

In The Last Decade

Matilde de las Rivas

11 papers receiving 418 citations

Peers

Matilde de las Rivas
Comparison fields: 5 of 60
  • Molecular Biology 353
  • Organic Chemistry 184
  • Immunology 130
  • Biotechnology 37
  • Radiology, Nuclear Medicine and Imaging 33
Replace Valegh Faid with:
Valegh Faid France
Katherine A. Davies Australia
Osama Albarbarawi United Kingdom
Elisabeth Mohorko Switzerland
Š. Toma Japan
Astrid Blume Germany
Ciara A. McManus Ireland
Weiqian Cao China
Hsiu‐Chin Huang Taiwan
Sam J. Moons Netherlands
Matilde de las Rivas relative to Valegh Faid France Valegh Faid's profile →
Citations per field
00.5×
Valegh Faid · 1×
Citations per year

Countries citing papers authored by Matilde de las Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Matilde de las Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilde de las Rivas. 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 Matilde de las Rivas. The network helps show where Matilde de las Rivas may publish in the future.

Co-authorship network of co-authors of Matilde de las Rivas

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 16
2 59
3 32
4 7
5 75
6 16
7 39
8 38
9 41
10 20
11 75

About Matilde de las Rivas

Matilde de las Rivas is a scholar working on Immunology, Organic Chemistry and Molecular Biology, having authored 11 papers that have together received 418 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Galectins and Cancer Biology (7 papers) and Carbohydrate Chemistry and Synthesis (6 papers). The work is most often cited by research in Organic Chemistry (184 citations), Immunology (130 citations) and Molecular Biology (353 citations). Matilde de las Rivas has collaborated with scholars based in Spain, Denmark and Portugal. Frequent co-authors include Ramón Hurtado‐Guerrero, Erandi Lira‐Navarrete, Thomas Gerken, Henrik Clausen, Ismael Compañón, Francisco Corzana, Filipa Marcelo, Helena Coelho, Pau Bernadó and Jesús Jiménez‐Barbero. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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