Sérgio U. Dani

607 citations
30 papers · 518 · h-index 13

Impact in

Papers in

    • RNA Interference and Gene Delivery 3
    • Prion Diseases and Protein Misfolding 3
    • Mitochondrial Function and Pathology 3
    • Alzheimer's disease research and treatments 6

Sérgio U. Dani

27 papers receiving 507 citations

Peers

Sérgio U. Dani
Comparison fields: 5 of 100
  • Environmental Chemistry 65
  • Physiology 150
  • Health, Toxicology and Mutagenesis 80
  • Biological Psychiatry 11
  • Neurology 30
Replace Mohammad Ali Arif with:
Mohammad Ali Arif Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Sérgio U. Dani

Since Specialization
Citations

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

Fields of papers citing papers by Sérgio U. Dani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199898
2 199888
3
Less DeltamtDNA4977 than normal in various types of tumors suggests that cancer cells are essentially free of this mutation.
200448
4
Principles of neural aging
199747
5 201046
6 201121
7 199919
8 201718
9 200316
10 200816
11 201114
12 201313
13 199713
14 200911
15
Evaluation of a method for high yield purification of largely intact mitochondrial DNA from human placentae.
20037
16 20196
17 19986
18
A model system for testing gene vectors using murine tumor cells on the chorioallantoic membrane of the chick embryo.
20026
19 20185
20 20105

About Sérgio U. Dani

Sérgio U. Dani is a scholar working on Molecular Biology, Physiology, Health, Toxicology and Mutagenesis, Genetics and Environmental Chemistry, having authored 30 papers that have together received 518 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Heavy Metal Exposure and Toxicity (5 papers), Arsenic contamination and mitigation (4 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Heavy metals in environment (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Environmental Chemistry (65 citations), Physiology (150 citations), Health, Toxicology and Mutagenesis (80 citations), Biological Psychiatry (11 citations) and Neurology (30 citations). Sérgio U. Dani has collaborated with scholars based in Germany, Brazil and United States. Frequent co-authors include Kazuaki Yoshikawa, Yoshiyuki Ohsawa, Izumu Saito, Yasuo Uchiyama, Hitoshi Okamura, Isao Nishimura, Taichi Uetsuki, Maria Dani, Akira Hori and Garry Walter. Their work appears in journals such as Dementia and Geriatric Cognitive Disorders, The Science of The Total Environment, Swiss Medical Weekly, Brazilian Journal of Medical and Biological Research and Journal of Neurogenetics.

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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