Raquel Manzano

4.6k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

Raquel Manzano is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Raquel Manzano has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Neurology and 14 papers in Genetics. Recurrent topics in Raquel Manzano's work include Amyotrophic Lateral Sclerosis Research (18 papers), Muscle Physiology and Disorders (14 papers) and Neurogenetic and Muscular Disorders Research (13 papers). Raquel Manzano is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (18 papers), Muscle Physiology and Disorders (14 papers) and Neurogenetic and Muscular Disorders Research (13 papers). Raquel Manzano collaborates with scholars based in Spain, United Kingdom and United States. Raquel Manzano's co-authors include Rosario Osta, P. Zaragoza, Ana Cristina Calvo, Marı́a Jesús Muñoz, Sara Oliván, Deise Maria Furtado de Mendonça, Janne M. Toivonen, Alberto García‐Redondo, Xavier Navarro and Caty Casas and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Raquel Manzano

38 papers receiving 1.5k citations

Hit Papers

Amyotrophic Lateral Sclerosis: A Focus on Disease Progres... 2014 2026 2018 2022 2014 100 200 300

Peers

Raquel Manzano
Comparison fields: 5 of 143
  • Molecular Biology 748
  • Neurology 575
  • Genetics 355
  • Cellular and Molecular Neuroscience 252
  • Physiology 171
Replace Nathalie Bernard‐Marissal with:
Nathalie Bernard‐Marissal France
Franck Sturtz France
Stephana Carelli Italy
Julien Rossignol United States
Dong-Seok Kim South Korea
María Collantes Spain
Akihiko Ogata Japan
Jiangkai Lin China
Tânia Cristina Leite de Sampaio e Spohr Brazil
Nunzio Iraci Italy
Nathalie Bernard‐Marissal France View profile →
Citations per field, relative to Raquel Manzano
Raquel Manzano · 1×
Citations per year, relative to Raquel Manzano
Raquel Manzano · 1×

Countries citing papers authored by Raquel Manzano

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Manzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Manzano

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Manzano. A scholar is included among the top collaborators of Raquel Manzano 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 Raquel Manzano. Raquel Manzano 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 0
2 0
3 3
4 6
5 14
6 22
7 3
8 17
9 12
10 40
11 18
12 36
13 14
14 40
15 24
16 39
17 14
18 16
19 6
20 24

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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