István Dankó

1.2k citations
26 papers · 914 indexed · h-index 14

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • Muscle Physiology and Disorders
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

István Dankó

24 papers receiving 865 citations

Peers

István Dankó
Comparison fields: 5 of 82
  • Genetics 364
  • Molecular Biology 578
  • Gastroenterology 44
  • Immunology 135
  • Genetics 61
Replace L. Morrison with:
L. Morrison United Kingdom
Linda Rasooly United States
Celeste C. Elia Brazil
Won Jae Huh United States
Margaret A. Cooley Australia
Joseph R. Maxwell United States
J. M. Seigneurin France
Colleen M. Elso Australia
Chrystelle Asseman United States
Thomas Stratmann Spain
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Citations per field
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Citations per year

Countries citing papers authored by István Dankó

Since Specialization
Citations

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

Fields of papers citing papers by István Dankó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pharmacological enhancement of in vivo foreign gene expression in muscle.
1994134
2 1998124
3 1992120
4 199481
5 199576
6 199774
7 199355
8 200742
9
Association of CYP2E1 gene polymorphism with predisposition to cancer development.
200538
10 199037
11 200527
12 201620
13 200515
14 200414
15 199512
16 198612
17 200510
18 20167
19 20196
20 19834

About István Dankó

István Dankó is a scholar working on Transplantation, Hematology, Clinical Biochemistry, Geriatrics and Gerontology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 914 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers), Neonatal Health and Biochemistry (4 papers), Muscle Physiology and Disorders (4 papers), Pancreatic function and diabetes (3 papers), Iron Metabolism and Disorders (3 papers), Metabolism and Genetic Disorders (2 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Genetics (364 citations), Molecular Biology (578 citations), Gastroenterology (44 citations), Immunology (135 citations) and Genetics (61 citations). István Dankó has collaborated with scholars based in United States, Hungary and Ukraine. Frequent co-authors include Jon A. Wolff, Verne M. Chapman, Vladimir G. Budker, Paul Williams, Kirk J. Hogan, Hans Herweijer, Zhen Jia, Guofeng Zhang, Phillip Williams and Jeffery D. Fritz. Their work appears in journals such as Human Gene Therapy, Human Molecular Genetics, Pediatric Research, Molecular Therapy and Cell Biology International.

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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