Artem Lysenko

1.6k total citations · 1 hit paper
27 papers, 737 citations indexed

About

Artem Lysenko is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Artem Lysenko has authored 27 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Plant Science. Recurrent topics in Artem Lysenko's work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (7 papers) and Computational Drug Discovery Methods (5 papers). Artem Lysenko is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (7 papers) and Computational Drug Discovery Methods (5 papers). Artem Lysenko collaborates with scholars based in United Kingdom, Japan and Australia. Artem Lysenko's co-authors include Tatsuhiko Tsunoda, Keith A. Boroevich, Alok Sharma, Mansoor Saqi, Chris Rawlings, Keywan Hassani‐Pak, Charles Auffray, K. E. Hammond‐Kosack, Alexander Mazein and Stephen J. Powers and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Cell.

In The Last Decade

Artem Lysenko

26 papers receiving 729 citations

Hit Papers

Advances in AI and machine learning for predictive medicine 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advances in AI and machine learning for predictive medicine
    2024 64 citations Alok Sharma, Artem Lysenko et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Artem Lysenko United Kingdom 14 356 301 76 71 57 27 737
Changhui Yan United States 18 845 2.4× 327 1.1× 129 1.7× 84 1.2× 41 0.7× 67 1.3k
Mansoor Saqi United Kingdom 18 897 2.5× 353 1.2× 45 0.6× 87 1.2× 62 1.1× 56 1.3k
Andrew M. Lynn India 16 376 1.1× 157 0.5× 95 1.3× 28 0.4× 26 0.5× 57 693
Sebastian Briesemeister Germany 10 638 1.8× 260 0.9× 61 0.8× 36 0.5× 37 0.6× 11 861
Duolin Wang United States 15 874 2.5× 140 0.5× 89 1.2× 20 0.3× 77 1.4× 43 1.2k
Dan Bolser United Kingdom 17 794 2.2× 707 2.3× 57 0.8× 55 0.8× 41 0.7× 28 1.4k
K. Srinivas India 10 428 1.2× 50 0.2× 101 1.3× 50 0.7× 44 0.8× 26 793
Jun Ming China 17 643 1.8× 493 1.6× 44 0.6× 44 0.6× 26 0.5× 75 981
Achraf El Allali Morocco 16 276 0.8× 154 0.5× 100 1.3× 19 0.3× 13 0.2× 62 641
Gung‐Wei Chirn United States 16 656 1.8× 206 0.7× 167 2.2× 18 0.3× 110 1.9× 29 1.0k

Countries citing papers authored by Artem Lysenko

Since Specialization
Citations

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

Fields of papers citing papers by Artem Lysenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artem Lysenko

This figure shows the co-authorship network connecting the top 25 collaborators of Artem Lysenko. A scholar is included among the top collaborators of Artem Lysenko 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 Artem Lysenko. Artem Lysenko 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
1.
2.
Sharma, Alok, et al.. (2024). Enhanced analysis of tabular data through Multi-representation DeepInsight. Scientific Reports. 14(1). 12851–12851. 1 indexed citations
3.
Sharma, Alok, Artem Lysenko, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2023). DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics. Scientific Reports. 13(1). 2483–2483. 21 indexed citations
4.
Lysenko, Artem, et al.. (2023). scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning. Briefings in Bioinformatics. 24(5). 24 indexed citations
5.
Sugawara, Toshitaka, Fuyuki Miya, Toshiaki Ishikawa, et al.. (2022). Immune subtypes and neoantigen-related immune evasion in advanced colorectal cancer. iScience. 25(2). 103740–103740. 8 indexed citations
6.
Vedeler, Christian A., Kristian Hovde Liland, Anette McLeod, et al.. (2021). Cerebrospinal fluid proteome shows disrupted neuronal development in multiple sclerosis. Scientific Reports. 11(1). 4087–4087. 15 indexed citations
7.
Sharma, Alok, Artem Lysenko, Yosvany López, et al.. (2019). HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues. BMC Genomics. 19(S9). 982–982. 14 indexed citations
8.
Lysenko, Artem, et al.. (2019). PHI-Nets: A Network Resource for Ascomycete Fungal Pathogens to Annotate and Identify Putative Virulence Interacting Proteins and siRNA Targets. Frontiers in Microbiology. 10. 2721–2721. 4 indexed citations
9.
Lysenko, Artem, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2017). Arete – candidate gene prioritization using biological network topology with additional evidence types. BioData Mining. 10(1). 22–22. 11 indexed citations
10.
Hassani‐Pak, Keywan, et al.. (2016). Developing integrated crop knowledge networks to advance candidate gene discovery. PubMed. 11. 18–26. 30 indexed citations
11.
Lysenko, Artem, et al.. (2016). Representing and querying disease networks using graph databases. BioData Mining. 9(1). 59 indexed citations
12.
Balaur, Irina, Alexander Mazein, Mansoor Saqi, et al.. (2016). Recon2Neo4j: applying graph database technologies for managing comprehensive genome-scale networks. Bioinformatics. 33(7). 1096–1098. 23 indexed citations
13.
Balaur, Irina, Mansoor Saqi, Ana Barat, et al.. (2016). EpiGeNet: A Graph Database of Interdependencies Between Genetic and Epigenetic Events in Colorectal Cancer. Journal of Computational Biology. 24(10). 969–980. 12 indexed citations
14.
15.
Curtis, Tanya Y., et al.. (2014). Discovering Study-Specific Gene Regulatory Networks. PLoS ONE. 9(9). e106524–e106524. 5 indexed citations
16.
Horn, Fabian, et al.. (2014). Interactive exploration of integrated biological datasets using context-sensitive workflows. Frontiers in Genetics. 5. 21–21. 4 indexed citations
17.
Lysenko, Artem, Martin Urban, Sophia Tsoka, et al.. (2013). Network-Based Data Integration for Selecting Candidate Virulence Associated Proteins in the Cereal Infecting Fungus Fusarium graminearum. PLoS ONE. 8(7). e67926–e67926. 10 indexed citations
18.
Lysenko, Artem, Michaël Defoin-Platel, Keywan Hassani‐Pak, et al.. (2011). Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis. BMC Bioinformatics. 12(1). 203–203. 12 indexed citations
19.
Defoin-Platel, Michaël, Matthew Hindle, Artem Lysenko, et al.. (2011). AIGO: Towards a unified framework for the Analysis and the Inter-comparison of GO functional annotations. BMC Bioinformatics. 12(1). 431–431. 8 indexed citations
20.
Lysenko, Artem, Matthew Hindle, Jan Taubert, Mansoor Saqi, & Chris Rawlings. (2009). Data integration for plant genomics--exemplars from the integration of Arabidopsis thaliana databases. Briefings in Bioinformatics. 10(6). 676–693. 17 indexed citations

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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