Anna Dı́az-Font

1.4k citations
12 papers · 626 · h-index 10

Impact in

  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • Glycosylation and Glycoproteins Research 4
    • RNA Interference and Gene Delivery 2
    • Hedgehog Signaling Pathway Studies 2
    • Lysosomal Storage Disorders Research 6
    • Erythrocyte Function and Pathophysiology 2

Anna Dı́az-Font

12 papers receiving 617 citations

Peers

Anna Dı́az-Font
Comparison fields: 5 of 52
  • Genetics 391
  • Cell Biology 117
  • Molecular Biology 399
  • Physiology 106
  • Ophthalmology 23
Replace Sarah E. Conduit with:
Sarah E. Conduit Australia
Lonneke Haer‐Wigman Netherlands
Athina Ganner Germany
Suna Önengüt United States
Louise A. Stephen United Kingdom
Manuela Morleo Italy
Eileen Pernot Belgium
Irene Barinaga-Rementeria Ramirez United Kingdom
Shamsa Anazi Saudi Arabia
Eri Imagawa Japan
Anna Dı́az-Font relative to Sarah E. Conduit Australia Sarah E. Conduit's profile →
Citations per field
00.5×11.5×
Sarah E. Conduit · 1×
Citations per year

Countries citing papers authored by Anna Dı́az-Font

Since Specialization
Citations

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

Fields of papers citing papers by Anna Dı́az-Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Dı́az-Font. 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 Anna Dı́az-Font. The network helps show where Anna Dı́az-Font may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna Dı́az-Font, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Dı́az-Font Line = papers co-authored together Anna Dı́az-Font links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2008294
2 201392
3 200961
4 201760
5 200532
6 200531
7 200619
8 200514
9 200312
10 20019
11 20031
12 20121

About Anna Dı́az-Font

Anna Dı́az-Font is a scholar working on Molecular Biology, Physiology, Genetics, Organic Chemistry and Cell Biology, having authored 12 papers that have together received 626 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (6 papers), Glycosylation and Glycoproteins Research (4 papers), Genetic and Kidney Cyst Diseases (4 papers), Genetic Syndromes and Imprinting (2 papers), Cellular transport and secretion (2 papers), RNA Interference and Gene Delivery (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Genetics (391 citations), Cell Biology (117 citations), Molecular Biology (399 citations), Physiology (106 citations) and Ophthalmology (23 citations). Anna Dı́az-Font has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Philip L. Beales, Nicholas Katsanis, Erica E. Davis, Richard A. Lewis, Suzanne Rix, Carmen C. Leitch, Wafaa Eyaid, José L. Badano, Eyal Banin and Hélène Dollfus. Their work appears in journals such as Blood Cells Molecules and Diseases, Human Genetics, Molecular Genetics and Metabolism, Nature Genetics and Human Molecular Genetics.

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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