Anna Krasnenko

1.2k citations
19 papers · 805 · 1 hit paper · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Genetics top 5%
    • Genetic Associations and Epidemiology

Papers in

    • Genomics and Rare Diseases 3
    • Genetic Associations and Epidemiology 2
    • BRCA gene mutations in cancer 2
    • Lysosomal Storage Disorders Research 2
    • Telomeres, Telomerase, and Senescence 2

Anna Krasnenko

18 papers receiving 773 citations

Anna Krasnenko's Hit Papers

Mapping the human genetic architecture of COVID-19 2021 · 656 citations
6560+1+3Years since publication200400600

Peers

Anna Krasnenko
Comparison fields: 5 of 70
  • Infectious Diseases 361
  • Genetics 357
  • Immunology 73
  • Neurology 46
  • Aging 5
Replace Beverley MacLaughlin with:
Beverley MacLaughlin United Kingdom
Nikolay Alekseevich Plotnikov Russia
Enrico Martinelli Italy
Julia Fazaal Germany
Teresa R. Scott United Kingdom
Elena Arciero United Kingdom
Avrohom Karp United States
Alec M. Chiu United States
Ruchi Joshi United States
Sibylle Wilfling Germany
Anna Krasnenko relative to Beverley MacLaughlin United Kingdom Beverley MacLaughlin's profile →
Citations per field
00.5×1.7×
Beverley MacLaughlin · 1×
Citations per year

Countries citing papers authored by Anna Krasnenko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Krasnenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Anna Krasnenko, 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 Anna Krasnenko Line = papers co-authored together Anna Krasnenko links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021656
2 202360
3 202014
4 201712
5 201811
6 202010
7 20219
8 20198
9 20175
10 20184
11 20204
12 20173
13 20193
14 20171
15 20171
16 20181
17 20181
18 20201
19 20201

About Anna Krasnenko

Anna Krasnenko is a scholar working on Genetics, Physiology, Psychiatry and Mental health, Aging and Molecular Biology, having authored 19 papers that have together received 805 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Epilepsy research and treatment (2 papers), Lysosomal Storage Disorders Research (2 papers), Genetic Associations and Epidemiology (2 papers), BRCA gene mutations in cancer (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Genomics and Phylogenetic Studies (2 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Infectious Diseases (361 citations), Genetics (357 citations), Immunology (73 citations), Neurology (46 citations) and Aging (5 citations). Anna Krasnenko has collaborated with scholars based in Russia and United Kingdom. Frequent co-authors include Valery Vladimirovich Ilinsky, Kirill Tsukanov, Alekseenko Lp, Nikolay Alekseevich Plotnikov, Nikolay N. Nikolsky, Т. М. Гринчук, Alexander Rakitko, И.Ф. Стеценко, Natalia A. Pugovkina and Alexander E. Vinogradov. Their work appears in journals such as Nature, BMC Dermatology, BMC Nephrology, International Journal of Molecular Sciences and Journal of Personalized Medicine.

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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