Marta Grzelak
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
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- DNA Repair Mechanisms 1
- DNA and Nucleic Acid Chemistry 1
- Single-cell and spatial transcriptomics 1
- Genomics and Chromatin Dynamics 1
-
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 1
- Co-authors
- James Hadfield (2 shared papers)Rory Stark (1 shared paper)Sara Pensa (1 shared paper)John C. Marioni (1 shared paper)David J. Adams (1 shared paper)Walid T. Khaled (1 shared paper)Karsten Bach (1 shared paper)Krzysztof Ginalski (3 shared papers)
- Journals
- Nature Communications (1 paper)BMC Genetics (1 paper)Nature Reviews Genetics (1 paper)Nucleic Acids Research (1 paper)Experimental and Molecular Pathology (1 paper)
- Partner nations
- United KingdomPolandUnited States
In The Last Decade
Marta Grzelak
8 papers receiving 1.6k citations
Marta Grzelak's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 307
- Molecular Biology 995
- Oncology 172
- Immunology 116
- Aging 10
Countries citing papers authored by Marta Grzelak
This map shows the geographic impact of Marta Grzelak'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 Marta Grzelak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Grzelak more than expected).
Fields of papers citing papers by Marta Grzelak
This network shows the impact of papers produced by Marta Grzelak. 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 Marta Grzelak. The network helps show where Marta Grzelak may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Grzelak, 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 | RNA sequencing: the teenage years Hit paper breakdown → | 2019 | 1210 |
| 2 | 2017 | 221 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2018 | 23 | |
| 6 | 2016 | 21 | |
| 7 | 2018 | 18 | |
| 8 | 2023 | 6 |
About Marta Grzelak
Marta Grzelak is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer-related molecular mechanisms research (1 paper), DNA Repair Mechanisms (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Single-cell and spatial transcriptomics (1 paper), Genomics and Chromatin Dynamics (1 paper), Cancer Cells and Metastasis (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Cancer Research (307 citations), Molecular Biology (995 citations), Oncology (172 citations), Immunology (116 citations) and Aging (10 citations). Marta Grzelak has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include James Hadfield, Rory Stark, Sara Pensa, John C. Marioni, David J. Adams, Walid T. Khaled, Karsten Bach, Krzysztof Ginalski, Magdalena Skrzypczak and Stephen‐John Sammut. Their work appears in journals such as Nature Communications, BMC Genetics, Nature Reviews Genetics, Nucleic Acids Research and Experimental and Molecular Pathology.
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.