Mar Puigdellívol

1.6k citations
22 papers · 978 indexed · h-index 17
Topics
Genetic Neurodegenerative Diseases (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (8 papers)Mitochondrial Function and Pathology (5 papers)

In The Last Decade

Mar Puigdellívol

22 papers receiving 975 citations

Peers

Mar Puigdellívol
Comparison fields: 5 of 79
  • Molecular Biology 488
  • Cellular and Molecular Neuroscience 387
  • Neurology 342
  • Immunology 204
  • Neurology 158
Replace Yanqing Yin with:
Yanqing Yin China
Paula A. Pousinha France
Insup Choi United States
Patrick C. G. Haddick United States
Aurora M. Fontainhas United States
Christina A. Welsh United States
Hannah M. Gibbons New Zealand
Fabia Filipello Italy
Stephanie Fowler United States
Hea Jin Ryu South Korea
Mar Puigdellívol relative to Yanqing Yin China Yanqing Yin's profile →
Citations per field
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Yanqing Yin · 1×
Citations per year

Countries citing papers authored by Mar Puigdellívol

Since Specialization
Citations

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

Fields of papers citing papers by Mar Puigdellívol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mar Puigdellívol

This figure shows the co-authorship network connecting the top 25 collaborators of Mar Puigdellívol. A scholar is included among the top collaborators of Mar Puigdellívol 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 Mar Puigdellívol. Mar Puigdellívol 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 11
2 13
3 20
4 31
5 180
6 49
7 29
8 92
9 30
10 18
11 20
12 14
13 29
14 31
15 41
16 19
17 87
18 70
19 6
20 119

About Mar Puigdellívol

Mar Puigdellívol is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 978 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Neurology (342 citations), Biological Psychiatry (58 citations) and Cellular and Molecular Neuroscience (387 citations). Mar Puigdellívol has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Guy C. Brown, David H. Allendorf, Jordi Alberch, Sílvia Ginés, Albert Giralt, Claire A. Butler, Verónica Brito, Carlos A. Saura, Jorge Valero and Paola Paoletti. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and Biological Psychiatry.

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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