Hana Imrichová
- Immunology top 2%
- Cancer Research top 2%
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 10
- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 3
- Chromatin Remodeling and Cancer 2
- Bioinformatics and Genomic Networks 2
- Oncology top 2%
- Cancer-related Molecular Pathways 3
- Aging top 5%
- Co-authors
- Stein AertsGert HulselmansZeynep Kalender AtakJean‐Christophe MarineFlorian RambowSara AibarCarmen Bravo González‐BlasJasper Wouters
- Journals
- Nature Chemical Biology (4 papers)Nature Genetics (3 papers)Nature Communications (2 papers)
- Partner nations
- BelgiumAustriaUnited States
In The Last Decade
Hana Imrichová
23 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 1.5k
- Cancer Research 874
- Molecular Biology 3.8k
- Oncology 1.1k
- Aging 63
Countries citing papers authored by Hana Imrichová
This map shows the geographic impact of Hana Imrichová'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 Hana Imrichová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hana Imrichová more than expected).
Fields of papers citing papers by Hana Imrichová
This network shows the impact of papers produced by Hana Imrichová. 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 Hana Imrichová. The network helps show where Hana Imrichová may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hana Imrichová, 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 | 2024 | 10 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 23 | |
| 4 | 2022 | 67 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 100 | |
| 7 | Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustionbreakdown → | 2020 | 370 |
| 8 | 2020 | 92 | |
| 9 | 2020 | 256 | |
| 10 | 2019 | 66 | |
| 11 | 2018 | 93 | |
| 12 | 2017 | 11 | |
| 13 | SCENIC: single-cell regulatory network inference and clusteringbreakdown → | 2017 | 3087 |
| 14 | 2016 | 62 | |
| 15 | Combined Proteomics and Transcriptomics IdentifiesCarboxypeptidase B1 and Nuclear Factor kappa B (NF-kappa B)Associated Proteins as Putative Biomarkers of Metastasis in LowGrade Breast Cancer | 2015 | 2 |
| 16 | 2015 | 280 | |
| 17 | 2015 | 116 | |
| 18 | 2015 | 17 | |
| 19 | 2015 | 49 | |
| 20 | iRegulon: From a Gene List to a Gene Regulatory Network Using Large Motif and Track Collectionsbreakdown → | 2014 | 610 |
About Hana Imrichová
Hana Imrichová is a scholar working on Molecular Biology, Oncology, Biophysics, Cancer Research and Neurology, having authored 23 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (6 papers), RNA Research and Splicing (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related Molecular Pathways (3 papers), Chromatin Remodeling and Cancer (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Immunology (1.5k citations), Cancer Research (874 citations), Molecular Biology (3.8k citations), Oncology (1.1k citations) and Aging (63 citations). Hana Imrichová has collaborated with scholars based in Belgium, Austria and United States. Frequent co-authors include Stein Aerts, Gert Hulselmans, Zeynep Kalender Atak, Jean‐Christophe Marine, Florian Rambow, Sara Aibar, Carmen Bravo González‐Blas, Jasper Wouters, Thomas Moerman and Jan Aerts. Their work appears in journals such as Nature Chemical Biology, Nature Genetics, Nature Communications, Molecular & Cellular Proteomics and PLoS Computational Biology.
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.