Carmen Navarro

1.2k citations
30 papers · 691 indexed · h-index 14
Topics
Muscle Physiology and Disorders (7 papers)RNA Research and Splicing (6 papers)Mitochondrial Function and Pathology (5 papers)
Partner nations
SpainSwedenUnited States

In The Last Decade

Carmen Navarro

29 papers receiving 681 citations

Peers

Carmen Navarro
Comparison fields: 5 of 82
  • Molecular Biology 590
  • Computational Theory and Mathematics 136
  • Cancer Research 87
  • Cellular and Molecular Neuroscience 68
  • Cell Biology 59
Replace Diego Carrella with:
Diego Carrella Italy
Rudolf Pillich United States
Vidhya G. Krishnan Singapore
J. Zimmer Germany
Shu Tadaka Japan
Cavatina K. Truong United States
Angie T. Oler United States
Samuel A. Hasson United States
Anwesha Bohler Netherlands
Lai Hong Wong Canada
Carmen Navarro relative to Diego Carrella Italy Diego Carrella's profile →
Citations per field
00.5×1.5×1.9×
Diego Carrella · 1×
Citations per year

Countries citing papers authored by Carmen Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Navarro

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Navarro. A scholar is included among the top collaborators of Carmen Navarro 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 Carmen Navarro. Carmen Navarro 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 2
2 0
3 3
4 15
5 36
6 27
7 54
8 10
9 24
10 161
11 21
12 7
13 94
14 22
15 1
16 1
17 41
18 20
19 12
20 2

About Carmen Navarro

Carmen Navarro is a scholar working on Cell Biology, Molecular Biology and Cancer Research, having authored 30 papers that have together received 691 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Molecular Biology (590 citations) and Clinical Biochemistry (46 citations). Carmen Navarro has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Armando Blanco, Carlos Cano, Waldo Fajardo, Víctor Martínez, Carlos Spuch, José M. Cuezva, Fulvio Santacatterina, Laura Formentini, Laura Sánchez-Cenizo and Marta P. Pereira. Their work appears in journals such as Science, Nucleic Acids Research 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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