Vanessa Casas

571 total citations
16 papers, 431 citations indexed

About

Vanessa Casas is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Vanessa Casas has authored 16 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Immunology. Recurrent topics in Vanessa Casas's work include Glycosylation and Glycoproteins Research (4 papers), Analytical chemistry methods development (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Vanessa Casas is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Analytical chemistry methods development (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Vanessa Casas collaborates with scholars based in Spain, Germany and Australia. Vanessa Casas's co-authors include Montserrat Carrascal, Joaquín Abián, David Ovelleiro, Marina Gay, R. Cela, Laia Bonjoch, Daniel Closa, Carmen Garcı́a-Jares, Marı́a Llompart and Thierry Dagnac and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Chromatography A and Frontiers in Microbiology.

In The Last Decade

Vanessa Casas

16 papers receiving 426 citations

Peers

Vanessa Casas
Comparison fields: 5 of 81
  • Molecular Biology 197
  • Spectroscopy 112
  • Analytical Chemistry 67
  • Immunology 61
  • Food Science 47
Replace Emma Plana with:
Emma Plana Spain
Lihong Shi China
Jinghua Zhang China
Ignacio Abaitua Borda Spain
Maria Helena Bellini Brazil
Jianyu Zhu China
Eugene A. Beck Switzerland
Wendy M. Bonner Australia
Xiaoyuan Tian China
Emma Plana Spain View profile →
Citations per field, relative to Vanessa Casas
Vanessa Casas · 1×
Citations per year, relative to Vanessa Casas
Vanessa Casas · 1×

Countries citing papers authored by Vanessa Casas

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Casas

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 27
2 18
3 7
4 21
5 10
6 12
7 67
8 18
9 6
10 33
11 14
12 47
13 65
14 23
15 13
16 50

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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