Laura Molina‐Porcel

6.5k total citations
59 papers, 1.7k citations indexed

About

Laura Molina‐Porcel is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Laura Molina‐Porcel has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 17 papers in Molecular Biology and 16 papers in Physiology. Recurrent topics in Laura Molina‐Porcel's work include Alzheimer's disease research and treatments (16 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). Laura Molina‐Porcel is often cited by papers focused on Alzheimer's disease research and treatments (16 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). Laura Molina‐Porcel collaborates with scholars based in Spain, United States and Austria. Laura Molina‐Porcel's co-authors include John Q. Trojanowski, Virginia M.‐Y. Lee, David Hurtado, Jordi Clarimón, Joan Martí‐Fàbregas, Dolores Cocho, Jordi Díaz‐Manera, Rafael Blesa, Alberto Lleó and John Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Laura Molina‐Porcel

56 papers receiving 1.7k citations

Peers

Laura Molina‐Porcel
Comparison fields: 5 of 95
  • Physiology 612
  • Neurology 576
  • Molecular Biology 459
  • Epidemiology 341
  • Neurology 321
Replace Dong-In Sinn with:
Dong-In Sinn South Korea
Masamitsu Takatama Japan
Shigeki Arawaka Japan
Qingyi Ma United States
Nobutoshi Morimoto Japan
Nicole A. Terpolilli Germany
Elizabeth J. Cochran United States
Maite Mendióroz Spain
G. Forster United Kingdom
Ana Westenberger Germany
Dong-In Sinn South Korea View profile →
Citations per field, relative to Laura Molina‐Porcel
Laura Molina‐Porcel · 1×
Citations per year, relative to Laura Molina‐Porcel
Laura Molina‐Porcel · 1×

Countries citing papers authored by Laura Molina‐Porcel

Since Specialization
Citations

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

Fields of papers citing papers by Laura Molina‐Porcel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Molina‐Porcel. 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 Laura Molina‐Porcel. The network helps show where Laura Molina‐Porcel may publish in the future.

Co-authorship network of co-authors of Laura Molina‐Porcel

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Molina‐Porcel. A scholar is included among the top collaborators of Laura Molina‐Porcel 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 Laura Molina‐Porcel. Laura Molina‐Porcel 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 2
2 19
3 8
4 13
5 5
6 1
7 5
8 11
9 10
10 5
11 33
12 7
13 4
14 57
15 36
16 14
17 33
18 97
19 143
20 25

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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