Ana Neto

815 citations
12 papers · 531 · h-index 10

Impact in

    • Genomics and Chromatin Dynamics
    • Renal and related cancers
    • Planarian Biology and Electrostimulation
    • Developmental Biology and Gene Regulation
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

    • Genomics and Chromatin Dynamics 4
    • Epigenetics and DNA Methylation 3
    • Single-cell and spatial transcriptomics 2
    • Renal and related cancers 2
    • RNA modifications and cancer 2
    • Congenital heart defects research 2
    • Developmental Biology and Gene Regulation 2
    • Chromosomal and Genetic Variations 2

Ana Neto

12 papers receiving 526 citations

Peers

Ana Neto
Comparison fields: 5 of 67
  • Molecular Biology 445
  • Physiology 22
  • Paleontology 31
  • Plant Science 111
  • Genetics 83
Replace Katharina Schipany with:
Katharina Schipany Austria
Hongjie Zhang China
Jérôme Cartry France
Naoyuki Sakai Japan
Mohamed Bouzaffour France
Jadwiga Jaruzelska Poland
Glenn J. Markov United States
Florent Campo‐Paysaa France
Graciela Pillemer Israel
Zoltán Ferjentsik United Kingdom
Ana Neto relative to Katharina Schipany Austria Katharina Schipany's profile →
Citations per field
00.5×4.4×
Katharina Schipany · 1×
Citations per year

Countries citing papers authored by Ana Neto

Since Specialization
Citations

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

Fields of papers citing papers by Ana Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ana Neto, 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 Ana Neto Line = papers co-authored together Ana Neto links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006108
2 201184
3 201581
4 201167
5 201241
6 200841
7 202137
8 201931
9 201127
10 201712
11 20241
12 20241

About Ana Neto

Ana Neto is a scholar working on Molecular Biology, Plant Science, Genetics, Immunology and Surgery, having authored 12 papers that have together received 531 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers), RNA modifications and cancer (2 papers), Congenital heart defects research (2 papers), Chromosomal and Genetic Variations (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Molecular Biology (445 citations), Physiology (22 citations), Paleontology (31 citations), Plant Science (111 citations) and Genetics (83 citations). Ana Neto has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include José Luis Gómez-Skármeta, Juan J. Tena, Elisa de la Calle‐Mustienes, Catarina Brás‐Pereira, Fernando Casares, Maria Dolores Molina, Ignacio Maeso, Emili Saló, Francesc Cebrià and Eduardo Moltó. Their work appears in journals such as Nature Communications, Development, Pigment Cell & Melanoma Research, Current Biology and Genome 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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