Juan Marín

628 citations
11 papers · 117 indexed · h-index 6
Topics
Alzheimer's disease research and treatments (5 papers)Genetic Associations and Epidemiology (2 papers)Machine Learning in Bioinformatics (2 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Alzheimer s DiseaseAlzheimer s & Dementia

In The Last Decade

Juan Marín

10 papers receiving 115 citations

Peers

Juan Marín
Comparison fields: 5 of 43
  • Physiology 72
  • Molecular Biology 53
  • Cellular and Molecular Neuroscience 23
  • Genetics 21
  • Psychiatry and Mental health 18
Replace Alejandro Ruiz‐Riquelme with:
Alejandro Ruiz‐Riquelme Spain
Eva Louwersheimer Netherlands
Portia Chipendo United States
Itziar de Rojas Spain
F. Chen Canada
Kilan Le Guennec France
Gail Li United States
Christine Westerteicher Germany
Philip L. De Jager United States
Jennifer Heim United States
Juan Marín relative to Alejandro Ruiz‐Riquelme Spain Alejandro Ruiz‐Riquelme's profile →
Citations per field
00.5×1.5×2.5×
Alejandro Ruiz‐Riquelme · 1×
Citations per year

Countries citing papers authored by Juan Marín

Since Specialization
Citations

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

Fields of papers citing papers by Juan Marín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Marín

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 1
5 4
6 32
7 17
8 5
9 34
10 11
11 6

About Juan Marín

Juan Marín is a scholar working on Biological Psychiatry, Physiology and Psychiatry and Mental health, having authored 11 papers that have together received 117 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Genetic Associations and Epidemiology (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Physiology (72 citations), Biological Psychiatry (6 citations) and Neurology (17 citations). Juan Marín has collaborated with scholars based in Spain, Vietnam and United States. Frequent co-authors include Carmen Antúnez, Antonio González‐Pérez, Luís Miguel Real, Agustı́n Ruiz, Merçé Boada, Javier Gayán, Jesús López‐Arrieta, Isabel Hernández, Montserrat Alegret and Lluís Tárraga. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Alzheimer s Disease and Alzheimer s & Dementia.

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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