Eva Andrés‐Mateos

2.5k citations
28 papers · 1.8k indexed · h-index 22
Topics
Virus-based gene therapy research (8 papers)Muscle Physiology and Disorders (6 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)

In The Last Decade

Eva Andrés‐Mateos

28 papers receiving 1.8k citations

Peers

Eva Andrés‐Mateos
Comparison fields: 5 of 102
  • Molecular Biology 1.2k
  • Genetics 447
  • Cellular and Molecular Neuroscience 341
  • Physiology 332
  • Neurology 325
Replace D. Goossens with:
D. Goossens Belgium
Minerva M. Carrasquillo United States
Majid Hafezparast United Kingdom
Patrizia Amati‐Bonneau France
Piero Barboni Italy
John F. Fullard United States
Jun‐Gyo Suh South Korea
Ida E. Holm Denmark
Christian Barbato Italy
Eva Andrés‐Mateos relative to D. Goossens Belgium D. Goossens's profile →
Citations per field
00.5×3.9×
D. Goossens · 1×
Citations per year

Countries citing papers authored by Eva Andrés‐Mateos

Since Specialization
Citations

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

Fields of papers citing papers by Eva Andrés‐Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Andrés‐Mateos. 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 Eva Andrés‐Mateos. The network helps show where Eva Andrés‐Mateos may publish in the future.

Co-authorship network of co-authors of Eva Andrés‐Mateos

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Andrés‐Mateos. A scholar is included among the top collaborators of Eva Andrés‐Mateos 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 Eva Andrés‐Mateos. Eva Andrés‐Mateos 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 35
2 50
3 16
4 24
5 43
6 65
7 53
8 36
9 240
10 58
11 33
12 95
13 3
14 107
15 13
16 39
17 21
18 35
19 22
20 21

About Eva Andrés‐Mateos

Eva Andrés‐Mateos is a scholar working on Aging, Neurology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Muscle Physiology and Disorders (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Neurology (225 citations), Neurology (325 citations) and Sensory Systems (94 citations). Eva Andrés‐Mateos has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Luk H. Vandenberghe, Rebeca Mejı́as, Carmen Montiel, Valina L. Dawson, Ted M. Dawson, Bobby Thomas, Li Zhang, Masayuki Sasaki, Simon Pacouret and Ru Xiao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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