Dolores Viña

3.1k citations
91 papers · 2.7k indexed · h-index 30
Topics
Cholinesterase and Neurodegenerative Diseases (25 papers)Synthesis and Biological Evaluation (19 papers)Computational Drug Discovery Methods (15 papers)
Partner nations
SpainItalyPortugal

In The Last Decade

Dolores Viña

89 papers receiving 2.7k citations

Peers

Dolores Viña
Comparison fields: 5 of 104
  • Organic Chemistry 1.6k
  • Pharmacology 1.2k
  • Molecular Biology 742
  • Computational Theory and Mathematics 536
  • Electrical and Electronic Engineering 299
Replace Leonardo Pisani with:
Leonardo Pisani Italy
Adriana Bolasco Italy
Matilde Yáñez Spain
Gülberk Uçar Türkiye
Marco Catto Italy
Franco Chimenti Italy
Ae Nim Pae South Korea
Ana Castro Spain
Githa Elizabeth Mathew India
Vincenzo Tumiatti Italy
Dolores Viña relative to Leonardo Pisani Italy Leonardo Pisani's profile →
Citations per field
00.5×1.5×
Leonardo Pisani · 1×
Citations per year

Countries citing papers authored by Dolores Viña

Since Specialization
Citations

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

Fields of papers citing papers by Dolores Viña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dolores Viña

This figure shows the co-authorship network connecting the top 25 collaborators of Dolores Viña. A scholar is included among the top collaborators of Dolores Viña 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 Dolores Viña. Dolores Viña 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
#WorkIndexed citations
1 0
2 3
3 6
4 4
5 4
6 7
7 3
8 15
9 18
10 27
11 40
12 92
13 18
14 45
15 8
16 29
17 36
18 63
19 26
20 82

About Dolores Viña

Dolores Viña is a scholar working on Pharmacology, Organic Chemistry and Computational Theory and Mathematics, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (25 papers), Synthesis and Biological Evaluation (19 papers) and Computational Drug Discovery Methods (15 papers). The work is most often cited by research in Pharmacology (1.2k citations), Organic Chemistry (1.6k citations) and Computational Theory and Mathematics (536 citations). Dolores Viña has collaborated with scholars based in Spain, Italy and Portugal. Frequent co-authors include Eugenio Uriarte, Lourdes Santana, María João Matos, Matilde Yáñez, Francisco Orallo, Fernanda Borges, Giovanna Delogu, Elías Quezada, Carmen Picciau and Carmen Terán. Their work appears in journals such as Scientific Reports, Journal of Medicinal Chemistry and The Journal of Organic 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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