Dmytro Krasnienkov

800 citations
16 papers · 359 indexed · 1 hit paper · h-index 7
Topics
Telomeres, Telomerase, and Senescence (9 papers)COVID-19 Clinical Research Studies (3 papers)Adipose Tissue and Metabolism (3 papers)
Partner nations
UkraineUnited Kingdom

In The Last Decade

Dmytro Krasnienkov

14 papers receiving 350 citations

Hit Papers

Telomere Length as a Marker of Biological Age: State-of-t...2021202620222024202150100150200250

Peers

Dmytro Krasnienkov
Comparison fields: 5 of 86
  • Physiology 218
  • Aging 95
  • Molecular Biology 83
  • Public Health, Environmental and Occupational Health 37
  • Pediatrics, Perinatology and Child Health 35
Replace Francesco Spelta with:
Francesco Spelta Italy
Claudia Bertarelli Italy
Tet Matsuguchi United States
Natália Yumi Noronha Brazil
Ilaria Ermini Italy
Meicen Zhou China
Wiebke Erhart Germany
Tahmineh Tabrizian United States
Mariana L. Tellechea Argentina
Wenting Zhou China
Dmytro Krasnienkov relative to Francesco Spelta Italy Francesco Spelta's profile →
Citations per field
00.5×4.4×
Francesco Spelta · 1×
Citations per year

Countries citing papers authored by Dmytro Krasnienkov

Since Specialization
Citations

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

Fields of papers citing papers by Dmytro Krasnienkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Krasnienkov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmytro Krasnienkov. A scholar is included among the top collaborators of Dmytro Krasnienkov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmytro Krasnienkov. Dmytro Krasnienkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
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7 2
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Telomere Length as a Marker of Biological Age: State-of-the-Art, Open Issues, and Future Perspectivesbreakdown →
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About Dmytro Krasnienkov

Dmytro Krasnienkov is a scholar working on Aging, Physiology and Geriatrics and Gerontology, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), COVID-19 Clinical Research Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (95 citations), Physiology (218 citations) and Geriatrics and Gerontology (10 citations). Dmytro Krasnienkov has collaborated with scholars based in Ukraine and United Kingdom. Frequent co-authors include Alexander Vaiserman, Mykola Khalangot, Víctor Kravchenko, Vitaly Guryanov, O. V. Korkushko, V.B. Shatylo, Alexander Koliada, Л. А. Лившиц, N. Bachinskaya and Inga Prokopenko. Their work appears in journals such as Scientific Reports, Experimental Biology and Medicine and Experimental Gerontology.

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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