Anna Cascante

1.4k citations
26 papers · 1.1k · h-index 18

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • RNA Interference and Gene Delivery 12
    • Advanced biosensing and bioanalysis techniques 7
    • DNA and Nucleic Acid Chemistry 2
    • Virus-based gene therapy research 10

Anna Cascante

26 papers receiving 1.1k citations

Peers

Anna Cascante
Comparison fields: 5 of 101
  • Genetics 339
  • Biomaterials 154
  • Molecular Biology 696
  • Biotechnology 86
  • Developmental Neuroscience 40
Replace M.J. Escámez with:
M.J. Escámez Spain
Weidan Peng United States
Wenbin Ying United States
Khursheed Anwer United States
Daniel Goula France
Jinlong Yin South Korea
Bassima Abdallah France
Stephan Tiede Germany
Jozef Bízik Slovakia
Sukhen C. Ghosh United States
Anna Cascante relative to M.J. Escámez Spain M.J. Escámez's profile →
Citations per field
00.5×3.1×
M.J. Escámez · 1×
Citations per year

Countries citing papers authored by Anna Cascante

Since Specialization
Citations

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

Fields of papers citing papers by Anna Cascante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Cascante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Cascante Line = papers co-authored together Anna Cascante links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003231
2 201086
3 200886
4 201880
5 201473
6 201562
7 201858
8 200343
9 201441
10 201940
11 201938
12 200933
13 201130
14 201829
15 202027
16 200724
17 201921
18 200918
19 200517
20 200215

About Anna Cascante

Anna Cascante is a scholar working on Molecular Biology, Genetics, Oncology, Biotechnology and Biomaterials, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Virus-based gene therapy research (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Cancer Research and Treatments (5 papers), CAR-T cell therapy research (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Cancer-related Molecular Pathways (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Genetics (339 citations), Biomaterials (154 citations), Molecular Biology (696 citations), Biotechnology (86 citations) and Developmental Neuroscience (40 citations). Anna Cascante has collaborated with scholars based in Spain, Sweden and Netherlands. Frequent co-authors include Cristina Fillat, Salvador Borrós, Meritxell Carrió, Bruno Sangro, Víctor Ramos, Ola Hermanson, Cristina Fornaguera, Nathaly Segovia, Pere Dosta and Núria Rubio. Their work appears in journals such as Advanced Healthcare Materials, International Journal of Pharmaceutics, Acta Biomaterialia, Drug Delivery and Journal of Biological Chemistry.

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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