Danton Ivanochko

749 citations
19 papers · 523 · h-index 10

Impact in

    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Cancer-related Molecular Pathways

Papers in

Danton Ivanochko

17 papers receiving 517 citations

Peers

Danton Ivanochko
Comparison fields: 5 of 61
  • Molecular Biology 363
  • Oncology 93
  • Cell Biology 55
  • Cancer Research 39
  • Hematology 28
Replace Marta Beata Davidson with:
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Gregory Caleb Howard United States
Patricia Stuckert United States
Tianxiang Tu United States
Chul‐Hwan Lee United States
Daniel R. Stauffer United States
Véronique Leblanc Canada
Ruth R. E. Williams United Kingdom
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Citations per field
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Marta Beata Davidson · 1×
Citations per year

Countries citing papers authored by Danton Ivanochko

Since Specialization
Citations

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

Fields of papers citing papers by Danton Ivanochko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017137
2 201671
3 201468
4 201739
5 201938
6 201533
7 201833
8 201930
9 202323
10 202320
11 20229
12 20246
13 20255
14 20254
15 20254
16 20242
17 20251
18 20250
19 20250

About Danton Ivanochko

Danton Ivanochko is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Molecular Biology, Genetics and Infectious Diseases, having authored 19 papers that have together received 523 indexed citations. Recurring topics across this work include Malaria Research and Control (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (363 citations), Oncology (93 citations), Cell Biology (55 citations), Cancer Research (39 citations) and Hematology (28 citations). Danton Ivanochko has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include David J. Picketts, Renato Ferreira de Freitas, Matthieu Schapira, Cheryl Arrowsmith, Matthew A. M. Todd, Keqin Yan, Emma C Goodall, Michael S. Huh, Jacob McClendon and Kathryn T. Bieging-Rolett. Their work appears in journals such as Immunity, Nature Communications, Molecules, Cell Death and Disease and The Journal of Infectious Diseases.

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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