Pablo Cacabelos

429 citations
17 papers · 339 · h-index 11

Impact in

Papers in

Pablo Cacabelos

17 papers receiving 326 citations

Peers

Pablo Cacabelos
Comparison fields: 5 of 62
  • Geriatrics and Gerontology 43
  • Pharmacology 55
  • Pharmacology 93
  • Biological Psychiatry 12
  • Physiology 109
Replace Natalia Cacabelos with:
Natalia Cacabelos Spain
Iván Tellado Spain
Clara Torrellas Spain
Yingyu Huang China
Shubham Upadhayay India
André Meneghetti Brazil
Soyong Jang South Korea
Shuhan Chen China
Gloria Castellano‐González Australia
Lailing Du China
Pablo Cacabelos relative to Natalia Cacabelos Spain Natalia Cacabelos's profile →
Citations per field
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Natalia Cacabelos · 1×
Citations per year

Countries citing papers authored by Pablo Cacabelos

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Cacabelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Pablo Cacabelos, 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 Pablo Cacabelos Line = papers co-authored together Pablo Cacabelos links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201969
2 201467
3 201644
4 201826
5 201921
6 201319
7 201915
8 202113
9 201413
10 201913
11 201911
12 20218
13 20127
14 20185
15 20174
16 20153
17
[Progressive degenerative aphasia: clinical and neuroradiological observations in 18 cases].
19971

About Pablo Cacabelos

Pablo Cacabelos is a scholar working on Molecular Biology, Physiology, Pharmacology, Cellular and Molecular Neuroscience and Neurology, having authored 17 papers that have together received 339 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Epigenetics and DNA Methylation (3 papers), Computational Drug Discovery Methods (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Geriatrics and Gerontology (43 citations), Pharmacology (55 citations), Pharmacology (93 citations), Biological Psychiatry (12 citations) and Physiology (109 citations). Pablo Cacabelos has collaborated with scholars based in Spain, Peru and United States. Frequent co-authors include Ramón Cacabelos, Juan C. Carril, Iván Tellado, Clara Torrellas, Lola Corzo, Gjumrakch Aliev, Natalia Cacabelos, Aleksey Kazantsev, L. Fernández‐Novoa and Dmitry Goldgaber. Their work appears in journals such as Pharmaceuticals, Medicinal Research Reviews, CNS & Neurological Disorders - Drug Targets, International Journal of Molecular Sciences and Planta Medica.

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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