Francisca Díaz

6.4k total citations · 1 hit paper
63 papers, 4.4k citations indexed

About

Francisca Díaz is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Francisca Díaz has authored 63 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 20 papers in Clinical Biochemistry and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Francisca Díaz's work include Mitochondrial Function and Pathology (37 papers), Metabolism and Genetic Disorders (20 papers) and ATP Synthase and ATPases Research (15 papers). Francisca Díaz is often cited by papers focused on Mitochondrial Function and Pathology (37 papers), Metabolism and Genetic Disorders (20 papers) and ATP Synthase and ATPases Research (15 papers). Francisca Díaz collaborates with scholars based in United States, Italy and Germany. Francisca Díaz's co-authors include Carlos T. Moraes, Sofía García, Antoni Barrientos, Flavia Fontanesi, Hirokazu Fukui, Don Mahad, Bernd Hamprecht, Klaus‐Armin Nave, Susann Boretius and Susana Peralta and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Francisca Díaz

63 papers receiving 4.4k citations

Hit Papers

Glycolytic oligodendrocytes maintain myelin and long-term... 2012 2026 2016 2021 2012 250 500 750 1000

Peers

Francisca Díaz
Comparison fields: 5 of 137
  • Molecular Biology 2.9k
  • Cellular and Molecular Neuroscience 713
  • Physiology 699
  • Clinical Biochemistry 687
  • Developmental Neuroscience 577
Replace Sergey A. Krupenko with:
Sergey A. Krupenko United States
Ravi Jagasia Switzerland
Brett H. Graham United States
Sonja Forss‐Petter Austria
Carlo Viscomi Italy
Roman Chrast Switzerland
Amy K. Reeve United Kingdom
Kazuyuki Takata Japan
Yuji Owada Japan
Hitoshi Okazawa Japan
Sergey A. Krupenko United States View profile →
Citations per field, relative to Francisca Díaz
Francisca Díaz · 1×
Citations per year, relative to Francisca Díaz
Francisca Díaz · 1×

Countries citing papers authored by Francisca Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Francisca Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisca Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Francisca Díaz. A scholar is included among the top collaborators of Francisca Díaz 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 Francisca Díaz. Francisca Díaz 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 50
2 1
3 81
4 103
5 13
6 132
7 110
8 17
9 39
10 18
11 33
12 11
13 87
14 24
15 51
16 36
17 128
18 263
19 8
20 8

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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