Rola Dali

1.1k citations
11 papers · 327 · h-index 10

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Epigenetics and DNA Methylation
    • Congenital heart defects research
    • MicroRNA in disease regulation

Papers in

    • FOXO transcription factor regulation 2
    • Congenital heart defects research 2
    • Protein Degradation and Inhibitors 1
    • Steroid Chemistry and Biochemistry 1
    • Signaling Pathways in Disease 1
    • Evolution and Genetic Dynamics 3
    • Genetics and Neurodevelopmental Disorders 2

Rola Dali

11 papers receiving 326 citations

Peers

Rola Dali
Comparison fields: 5 of 61
  • Molecular Biology 233
  • Cancer Research 48
  • Genetics 82
  • Developmental Neuroscience 8
  • Cell Biology 29
Replace Dinko Pavlinić with:
Dinko Pavlinić Germany
Steven Laurie Spain
Melissa Williams United States
Shipra Bhatia United Kingdom
Anna A. Igolkina Russia
Boyan Dimitrov Bulgaria
Sophie Marion de Procé United Kingdom
Hu Nie China
Petra Galgóczy Germany
Fides Zenk Germany
Rola Dali relative to Dinko Pavlinić Germany Dinko Pavlinić's profile →
Citations per field
00.5×1.5×2.1×
Dinko Pavlinić · 1×
Citations per year

Countries citing papers authored by Rola Dali

Since Specialization
Citations

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

Fields of papers citing papers by Rola Dali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201780
2 201356
3 201047
4 201428
5 201924
6 201321
7 201221
8 201820
9 202016
10 20129
11 20155

About Rola Dali

Rola Dali is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Cancer Research and Genetics, having authored 11 papers that have together received 327 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (3 papers), Plant and animal studies (2 papers), FOXO transcription factor regulation (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Congenital heart defects research (2 papers), Protein Degradation and Inhibitors (1 paper), Steroid Chemistry and Biochemistry (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Molecular Biology (233 citations), Cancer Research (48 citations), Genetics (82 citations), Developmental Neuroscience (8 citations) and Cell Biology (29 citations). Rola Dali has collaborated with scholars based in Canada, Netherlands and Italy. Frequent co-authors include Mathieu Blanchette, Sijmen E. Schoustra, Rees Kassen, Howard D. Rundle, Stefano Stifani, Federica Verginelli, Branko Latinkic, Rana M. Temsah, Rita Lo and Abir Yamak. Their work appears in journals such as The Journal of Cell Biology, BMC Microbiology, Molecular Oncology, Current Biology and Nature Communications.

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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