Paula Martínez-Cristóbal

788 citations
7 papers · 533 indexed · h-index 5
Topics
Autophagy in Disease and Therapy (2 papers)Mitochondrial Function and Pathology (2 papers)Ubiquitin and proteasome pathways (2 papers)
Partner nations
SpainUnited KingdomItaly

In The Last Decade

Paula Martínez-Cristóbal

7 papers receiving 532 citations

Peers

Paula Martínez-Cristóbal
Comparison fields: 5 of 69
  • Molecular Biology 403
  • Cell Biology 191
  • Epidemiology 153
  • Physiology 126
  • Cellular and Molecular Neuroscience 48
Replace Geoffrey Teixeira with:
Geoffrey Teixeira France
Stephanie Muise Canada
Zhuohua Zhang China
Yehia Marreez United States
Michael Orthofer Austria
Takashi Kato United States
Mindy A. Kendrick United States
Brian A. Roelofs United States
Chongshu Jian China
Emilie Schrepfer Italy
Paula Martínez-Cristóbal relative to Geoffrey Teixeira France Geoffrey Teixeira's profile →
Citations per field
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Geoffrey Teixeira · 1×
Citations per year

Countries citing papers authored by Paula Martínez-Cristóbal

Since Specialization
Citations

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

Fields of papers citing papers by Paula Martínez-Cristóbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Martínez-Cristóbal. 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 Paula Martínez-Cristóbal. The network helps show where Paula Martínez-Cristóbal may publish in the future.

Co-authorship network of co-authors of Paula Martínez-Cristóbal

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Martínez-Cristóbal. A scholar is included among the top collaborators of Paula Martínez-Cristóbal 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 Paula Martínez-Cristóbal. Paula Martínez-Cristóbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 8
2 81
3 51
4 1
5 35
6 4
7 353

About Paula Martínez-Cristóbal

Paula Martínez-Cristóbal is a scholar working on Cell Biology, Biochemistry and Molecular Biology, having authored 7 papers that have together received 533 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (2 papers), Mitochondrial Function and Pathology (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cell Biology (191 citations), Molecular Biology (403 citations) and Clinical Biochemistry (35 citations). Paula Martínez-Cristóbal has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include David Sebastián, António Zorzano, Caroline Mauvezin, Manuel Noguera, Juan Pablo Muñoz, Saška Ivanova, Manuel Palacı́n, Ana Sancho, María Isabel Hernández‐Álvarez and Angels Díaz‐Ramos. Their work appears in journals such as Nature Communications, The EMBO Journal and Journal of Molecular Biology.

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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