Mario Renda

573 citations
15 papers · 444 indexed · h-index 11

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Cystic Fibrosis Research Advances
    • Neonatal Respiratory Health Research

Papers in

Mario Renda

15 papers receiving 440 citations

Peers

Mario Renda
Comparison fields: 5 of 72
  • Molecular Biology 299
  • Pulmonary and Respiratory Medicine 103
  • Genetics 80
  • Aging 4
  • Plant Science 56
Replace Sergio Trillo‐Muyo with:
Sergio Trillo‐Muyo Sweden
Melissa L.T. Teoh United States
Shao-bing Hua United States
Diane E. Grove United States
Marleen van Geest Sweden
Mark E. Dalphin New Zealand
Graham Belfield United Kingdom
Kami Chiotti United States
Jeffrey O. Blaisdell United States
Carol Berkower United States
Mario Renda relative to Sergio Trillo‐Muyo Sweden Sergio Trillo‐Muyo's profile →
Citations per field
00.5×6.7×
Sergio Trillo‐Muyo · 1×
Citations per year

Countries citing papers authored by Mario Renda

Since Specialization
Citations

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

Fields of papers citing papers by Mario Renda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007123
2 202155
3 200954
4 201638
5 201736
6 202129
7 202123
8 201222
9 201821
10 202011
11 201710
12 20098
13 20238
14 20244
15 20242

About Mario Renda

Mario Renda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Epidemiology and Plant Science, having authored 15 papers that have together received 444 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), Genetic and Kidney Cyst Diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Neonatal Respiratory Health Research (2 papers), Machine Learning in Bioinformatics (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (299 citations), Pulmonary and Respiratory Medicine (103 citations), Genetics (80 citations), Aging (4 citations) and Plant Science (56 citations). Mario Renda has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include Paolo V. Pedone, Sabrina Esposito, Roberto Fattorusso, Ilaria Baglivo, Gary Felsenfeld, Bonnie Burgess-Beusse, Luis J. V. Galietta, L. Russo, Ilaria Musante and Nicoletta Pedemonte. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences, European Journal of Medicinal Chemistry and Microbiological Research.

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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