N. Strelchenko

1.2k citations
14 papers · 457 · h-index 9

Impact in

  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers

Papers in

    • Pluripotent Stem Cells Research 10
    • CRISPR and Genetic Engineering 5
    • Renal and related cancers 4
    • Animal Genetics and Reproduction 5

N. Strelchenko

14 papers receiving 439 citations

Peers

N. Strelchenko
Comparison fields: 5 of 34
  • Genetics 210
  • Molecular Biology 414
  • Public Health, Environmental and Occupational Health 107
  • Developmental Neuroscience 11
  • Surgery 72
Replace Nikolay Turovets with:
Nikolay Turovets United States
Jeffrey Janus United States
Teija Peura Australia
Svetlana G. Vassilieva Australia
G.J.C.M. van Buggenhout Netherlands
Robert Prosser United States
Kathy Hilton United Kingdom
Tania Radziewic Australia
Angela J. Churchill United States
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Citations per field
00.5×
Nikolay Turovets · 1×
Citations per year

Countries citing papers authored by N. Strelchenko

Since Specialization
Citations

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

Fields of papers citing papers by N. Strelchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005161
2 199274
3 199670
4 200268
5 199418
6 200616
7 19959
8 19949
9 19948
10 20088
11 20097
12 19917
13 20111
14 20081

About N. Strelchenko

N. Strelchenko is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Surgery and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 457 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Animal Genetics and Reproduction (5 papers), CRISPR and Genetic Engineering (5 papers), Prenatal Screening and Diagnostics (4 papers), Renal and related cancers (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), Reproductive Biology and Fertility (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Genetics (210 citations), Molecular Biology (414 citations), Public Health, Environmental and Occupational Health (107 citations), Developmental Neuroscience (11 citations) and Surgery (72 citations). N. Strelchenko has collaborated with scholars based in United States, Switzerland and Lebanon. Frequent co-authors include Heiner Niemann, Yury Verlinsky, V. I. Kukharenko, Anver Kuliev, Shoji Saito, Svetlana Rechitsky, Oleg Verlinsky, Vasiliy Galat, Steven L. Stice and Artem Shkumatov. Their work appears in journals such as Theriogenology, Reproductive BioMedicine Online, Biology of Reproduction, Development Genes and Evolution and American Journal of Obstetrics and Gynecology.

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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