Aleksandr Ianevski

6.0k citations
54 papers · 2.8k indexed · 4 hit papers · h-index 23
Topics
Computational Drug Discovery Methods (15 papers)SARS-CoV-2 and COVID-19 Research (10 papers)Influenza Virus Research Studies (6 papers)
Partner nations
FinlandNorwayEstonia

In The Last Decade

Aleksandr Ianevski

51 papers receiving 2.8k citations

Hit Papers

SynergyFinder 2.0: visual analytics of multi-drug combina...20172026202020232020201720222022100200300400500

Peers

Aleksandr Ianevski
Comparison fields: 5 of 131
  • Molecular Biology 1.5k
  • Oncology 557
  • Infectious Diseases 507
  • Computational Theory and Mathematics 373
  • Immunology 335
Replace Curtis R. Chong with:
Curtis R. Chong United States
Alan Norris United Kingdom
Xin Hu United States
Anil K. Giri India
Christine J. McNamee United Kingdom
Bert Klebl Germany
Keunsoo Kang South Korea
Shirley Hopper United Kingdom
Xiaoyun Lu China
Jorge Soares Portugal
Aleksandr Ianevski relative to Curtis R. Chong United States Curtis R. Chong's profile →
Citations per field
00.5×10×16×
Curtis R. Chong · 1×
Citations per year

Countries citing papers authored by Aleksandr Ianevski

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandr Ianevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandr Ianevski

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandr Ianevski. A scholar is included among the top collaborators of Aleksandr Ianevski 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 Aleksandr Ianevski. Aleksandr Ianevski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 13
5 9
6 5
7 5
8 1
9 9
10 35
11 34
12 23
13
Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic databreakdown →
298
14 20
15 30
16 27
17 36
18 42
19 157
20 106

About Aleksandr Ianevski

Aleksandr Ianevski is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Immunology, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (507 citations), Computational Theory and Mathematics (373 citations) and Molecular Biology (1.5k citations). Aleksandr Ianevski has collaborated with scholars based in Finland, Norway and Estonia. Frequent co-authors include Tero Aittokallio, Anil K. Giri, Liye He, Jing Tang, Denis E. Kainov, Magnar Bjørås, Tanel Tenson, Krister Wennerberg, Valentyn Oksenych and Petter I. Andersen. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Blood.

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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