Nadia Dani

489 citations
13 papers · 299 · h-index 8

Impact in

Papers in

    • PARP inhibition in cancer therapy 8
    • Toxin Mechanisms and Immunotoxins 6

Nadia Dani

13 papers receiving 292 citations

Peers

Nadia Dani
Comparison fields: 5 of 52
  • Physiology 109
  • Geriatrics and Gerontology 30
  • Oncology 195
  • Immunology 120
  • Molecular Biology 140
Replace Stefan Kernstock with:
Stefan Kernstock Germany
Casey M. Daniels United States
Vera Bilan Switzerland
Nasreen Aboul-Ela United States
Donald D. Ruhl United States
Hilda Mendoza‐Alvarez United States
Phyllis L. Panzeter Switzerland
Annika Krüger Germany
Daniel W. Sharp United States
Maximilian Felix Blank Germany
Nadia Dani relative to Stefan Kernstock Germany Stefan Kernstock's profile →
Citations per field
00.5×1.5×
Stefan Kernstock · 1×
Citations per year

Countries citing papers authored by Nadia Dani

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Dani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200994
2 200581
3 201228
4 200226
5 201222
6 201215
7 201011
8 20188
9 20117
10 20163
11 20122
12
COMPARISON OF DROPLET DIGITAL PCR AND STANDARD PCR IN CHRONIC MYELOID LEUKEMIA PATIENTS IN MR4
20151
13 20121

About Nadia Dani

Nadia Dani is a scholar working on Oncology, Immunology, Molecular Biology, Physiology and Cell Biology, having authored 13 papers that have together received 299 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (8 papers), Toxin Mechanisms and Immunotoxins (6 papers), Calcium signaling and nucleotide metabolism (5 papers), Ion channel regulation and function (2 papers), Signaling Pathways in Disease (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), MicroRNA in disease regulation (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Physiology (109 citations), Geriatrics and Gerontology (30 citations), Oncology (195 citations), Immunology (120 citations) and Molecular Biology (140 citations). Nadia Dani has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Maria Di Girolamo, Daniela Corda, Annalisa Stilla, Susanne Till, Antonio Mario Tamburro, Andreas G. Ladurner, Maria Flavia Di Renzo, Raffaele Calogero, Arménio Jorge Moura Barbosa and Martina Olivero. Their work appears in journals such as Current Pharmaceutical Design, Journal of Biological Chemistry, FEBS Journal, Biochemical Journal and Cytokine.

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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