Juan C. Carril

1.1k citations
32 papers · 657 indexed · h-index 14
Topics
Pharmacogenetics and Drug Metabolism (8 papers)Computational Drug Discovery Methods (6 papers)Cholinesterase and Neurodegenerative Diseases (6 papers)
Partner nations
SpainPortugalPoland

In The Last Decade

Juan C. Carril

31 papers receiving 514 citations

Peers

Juan C. Carril
Comparison fields: 5 of 89
  • Molecular Biology 220
  • Physiology 171
  • Pharmacology 159
  • Pharmacology 155
  • Genetics 128
Replace Maria G. Matera with:
Maria G. Matera Italy
Clara Torrellas Spain
Natalia Cacabelos United States
Evangelia Eirini Tsermpini Greece
Elimor Brand‐Schieber United States
Drew Neavin United States
Yewon Suh South Korea
Ana Karolina Santana Nunes Brazil
Yuhong Wang China
Juan C. Carril relative to Maria G. Matera Italy Maria G. Matera's profile →
Citations per field
00.5×5.5×
Maria G. Matera · 1×
Citations per year

Countries citing papers authored by Juan C. Carril

Since Specialization
Citations

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

Fields of papers citing papers by Juan C. Carril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan C. Carril. 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 Juan C. Carril. The network helps show where Juan C. Carril may publish in the future.

Co-authorship network of co-authors of Juan C. Carril

This figure shows the co-authorship network connecting the top 25 collaborators of Juan C. Carril. A scholar is included among the top collaborators of Juan C. Carril 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 Juan C. Carril. Juan C. Carril 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 10
2 2
3 19
4 9
5 3
6 13
7 62
8 8
9 25
10 24
11 37
12 1
13 39
14 53
15 23
16 47
17 1
18 13
19 1
20 5

About Juan C. Carril

Juan C. Carril is a scholar working on Pharmacology, Pharmacology and Computational Theory and Mathematics, having authored 32 papers that have together received 657 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Computational Drug Discovery Methods (6 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Pharmacology (155 citations), Geriatrics and Gerontology (51 citations) and Pharmacology (159 citations). Juan C. Carril has collaborated with scholars based in Spain, Portugal and Poland. Frequent co-authors include Ramón Cacabelos, Natalia Cacabelos, Lola Corzo, Clara Torrellas, L. Fernández‐Novoa, Iván Carrera, Iván Tellado, Vinogran Naidoo, Olaia Martínez-Iglesias and Óscar Teijido. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Applied Physiology and Medicinal Research Reviews.

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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