Mike Kucera
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Gene expression and cancer classification
- RNA Research and Splicing
Papers in
-
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Genomics and Phylogenetic Studies 2
- Photosynthetic Processes and Mechanisms 1
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- SARS-CoV-2 detection and testing 1
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Gary D. BaderJüri ReimandLina WadiVéronique VoisinChangjiang XuRuth IsserlinMona MeyerDaniele Merico
- Journals
- Nucleic Acids Research (1 paper)Nature Protocols (1 paper)Bioinformatics (1 paper)Nano Letters (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Mike Kucera
6 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 224
- Molecular Biology 737
- Biological Psychiatry 22
- Aging 14
- Immunology 167
Countries citing papers authored by Mike Kucera
This map shows the geographic impact of Mike Kucera'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 Mike Kucera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Kucera more than expected).
Fields of papers citing papers by Mike Kucera
This network shows the impact of papers produced by Mike Kucera. 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 Mike Kucera. The network helps show where Mike Kucera may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike Kucera, 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 | 2025 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 86 | |
| 4 | 2021 | 41 | |
| 5 | Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap Hit paper breakdown → | 2019 | 1126 |
| 6 | 2017 | 1 |
About Mike Kucera
Mike Kucera is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Organic Chemistry and Surgery, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Biosensors and Analytical Detection (1 paper), Photosynthetic Processes and Mechanisms (1 paper), SARS-CoV-2 detection and testing (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cancer Research (224 citations), Molecular Biology (737 citations), Biological Psychiatry (22 citations), Aging (14 citations) and Immunology (167 citations). Mike Kucera has collaborated with scholars based in Canada and United States. Frequent co-authors include Gary D. Bader, Jüri Reimand, Lina Wadi, Véronique Voisin, Changjiang Xu, Ruth Isserlin, Mona Meyer, Daniele Merico, Max Franz and Metin Can Siper. Their work appears in journals such as Nucleic Acids Research, Nature Protocols, Bioinformatics, Nano Letters and Zenodo (CERN European Organization for Nuclear Research).
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.