Margus Lukk
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Cancer Research top 10%
Papers in
-
- Gene expression and cancer classification 8
- Bioinformatics and Genomic Networks 5
- Genomics and Chromatin Dynamics 5
- Biomedical Text Mining and Ontologies 3
- Molecular Biology Techniques and Applications 3
- Single-cell and spatial transcriptomics 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Tim F. RaynerDuncan T. OdomHelen ParkinsonAlvis BrāzmaMisha KapusheskySarah AldridgeEle HollowayArya M. Sharma
- Journals
- Bioinformatics (4 papers)The Journal of Pathology (2 papers)PLoS ONE (2 papers)Journal of Hepatology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Margus Lukk
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Cancer Research 228
- Genetics 273
- Aging 14
- Hepatology 49
Countries citing papers authored by Margus Lukk
This map shows the geographic impact of Margus Lukk'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 Margus Lukk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margus Lukk more than expected).
Fields of papers citing papers by Margus Lukk
This network shows the impact of papers produced by Margus Lukk. 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 Margus Lukk. The network helps show where Margus Lukk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margus Lukk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 28 | |
| 2 | 2018 | 98 | |
| 3 | 2016 | 3 | |
| 4 | 2016 | 29 | |
| 5 | Enhancer Evolution across 20 Mammalian Species Hit paper breakdown → | 2015 | 464 |
| 6 | 2013 | 57 | |
| 7 | 2013 | 31 | |
| 8 | 2012 | 47 | |
| 9 | 2012 | 1 | |
| 10 | 2011 | 56 | |
| 11 | Construction of a global map of human gene expression : the process, tools and analysis | 2010 | 3 |
| 12 | 2009 | 71 | |
| 13 | 2008 | 8 | |
| 14 | 2007 | 34 | |
| 15 | ArrayExpress--a public database of microarray experiments and gene expression profiles Hit paper breakdown → | 2006 | 539 |
| 16 | 2006 | 51 | |
| 17 | 2002 | 51 |
About Margus Lukk
Margus Lukk is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Cancer Research and Oncology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Chromatin Dynamics (5 papers), Biomedical Text Mining and Ontologies (3 papers), Molecular Biology Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (228 citations), Genetics (273 citations), Aging (14 citations) and Hepatology (49 citations). Margus Lukk has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Tim F. Rayner, Duncan T. Odom, Helen Parkinson, Alvis Brāzma, Misha Kapushesky, Sarah Aldridge, Ele Holloway, Arya M. Sharma, Paul Flicek and Uğis Sarkans. Their work appears in journals such as Bioinformatics, The Journal of Pathology, PLoS ONE, Journal of Hepatology and BMC Bioinformatics.
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.