Daniel Macías‐García

5.9k total citations
23 papers, 249 citations indexed

About

Daniel Macías‐García is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Macías‐García has authored 23 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 6 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Macías‐García's work include Parkinson's Disease Mechanisms and Treatments (16 papers), Neurological disorders and treatments (7 papers) and RNA regulation and disease (5 papers). Daniel Macías‐García is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (16 papers), Neurological disorders and treatments (7 papers) and RNA regulation and disease (5 papers). Daniel Macías‐García collaborates with scholars based in Spain, Sweden and Canada. Daniel Macías‐García's co-authors include Silvia Jesús, Astrid Adarmes‐Gómez, Laura Muñoz‐Delgado, Fátima Carrillo, Pablo Mir, Miguel A. Labrador‐Espinosa, Pilar Gómez‐Garre, Juan Francisco Martin‐Rodríguez, Dolores Buiza‐Rueda and Carlota Méndez‐del‐Barrio and has published in prestigious journals such as Neurology, Neurobiology of Aging and Movement Disorders.

In The Last Decade

Daniel Macías‐García

22 papers receiving 243 citations

Peers

Daniel Macías‐García
Comparison fields: 5 of 62
  • Neurology 158
  • Neurology 78
  • Molecular Biology 67
  • Physiology 55
  • Cellular and Molecular Neuroscience 53
Replace Astrid Adarmes‐Gómez with:
Astrid Adarmes‐Gómez Spain
Laura Muñoz‐Delgado Spain
Thomas F. Tropea United States
Yoshio Sakiyama Japan
Zeynep Tüfekçıoğlu Türkiye
Symela Chatzikonstantinou Greece
Elena Contaldi Italy
Timo Eninger Germany
Luis Torres Peru
Claire Thiriez France
Astrid Adarmes‐Gómez Spain View profile →
Citations per field, relative to Daniel Macías‐García
Daniel Macías‐García · 1×
Citations per year, relative to Daniel Macías‐García
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Countries citing papers authored by Daniel Macías‐García

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Macías‐García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Macías‐García. 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 Daniel Macías‐García. The network helps show where Daniel Macías‐García may publish in the future.

Co-authorship network of co-authors of Daniel Macías‐García

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Macías‐García. A scholar is included among the top collaborators of Daniel Macías‐García 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 Daniel Macías‐García. Daniel Macías‐García 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
# Work Indexed citations
1 1
2 2
3 4
4 2
5 1
6 1
7 7
8 31
9 32
10 6
11 30
12 0
13 12
14 13
15 60
16 6
17 2
18 7
19 5
20 21

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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