Fernando R. Balestra

544 citations
17 papers · 334 indexed · h-index 9
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics 10
    • Genetics, Aging, and Longevity in Model Organisms 3
    • RNA Interference and Gene Delivery 4
    • Advanced biosensing and bioanalysis techniques 4
    • DNA and Nucleic Acid Chemistry 3
    • Mitochondrial Function and Pathology 2
    • Genetic and Kidney Cyst Diseases 4
    • Chromosomal and Genetic Variations 3

Fernando R. Balestra

17 papers receiving 332 citations

Peers

Fernando R. Balestra
Comparison fields: 5 of 52
  • Cell Biology 203
  • Aging 15
  • Molecular Biology 262
  • Genetics 91
  • Developmental Neuroscience 10
Replace Hanne Varmark with:
Hanne Varmark Germany
Adam M. Saunders United States
Nitya Ramkumar United States
Shin Sugiyama Japan
Tabea Dierker Sweden
Mariagrazia Partisani France
Katharine L. Sackton United States
Suresh Marada United States
Ian Yu United States
Xiaowei Xu China
Fernando R. Balestra relative to Hanne Varmark Germany Hanne Varmark's profile →
Citations per field
00.5×3.5×
Hanne Varmark · 1×
Citations per year

Countries citing papers authored by Fernando R. Balestra

Since Specialization
Citations

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

Fields of papers citing papers by Fernando R. Balestra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando R. Balestra. 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 Fernando R. Balestra. The network helps show where Fernando R. Balestra may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20236
2 20231
3 20233
4 202116
5 202123
6 202117
7 20212
8 20218
9 202011
10 202010
11 20182
12 201845
13 201419
14 201374
15 20131
16 201190
17 20086

About Fernando R. Balestra

Fernando R. Balestra is a scholar working on Aging, Cell Biology and Genetics, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Genetic and Kidney Cyst Diseases (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Chromosomal and Genetic Variations (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cell Biology (203 citations), Aging (15 citations) and Molecular Biology (262 citations). Fernando R. Balestra has collaborated with scholars based in Spain, Switzerland and Finland. Frequent co-authors include Pierre Gönczy, Petr Strnad, Isabelle Flückiger, Daiju Kitagawa, Debora Keller, Pablo Huertas, Rosa M. Rı́os, Michel Bornens, María P. Gavilán and Sonia Jimeno. Their work appears in journals such as Genetics, Pharmaceutics, Developmental Cell, EMBO Reports and Colloids and Surfaces B Biointerfaces.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026