Marcin B. Imielinski
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 40
- Genetics 31
- Genomic variations and chromosomal abnormalities 11
- Co-authors
- Matthew Meyerson (6 shared papers)Olivier Elemento (3 shared papers)Iman Hajirasouliha (1 shared paper)Peter S. Choi (2 shared papers)Pegah Khosravi (1 shared paper)Ehsan Mohamad Kazemi (1 shared paper)Calin A. Belta (8 shared papers)Andrew D. Cherniack (2 shared papers)
- Journals
- Nature Communications (16 papers)Nature (15 papers)Nature Genetics (13 papers)Cell (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Marcin B. Imielinski
106 papers receiving 43.8k citations
Marcin B. Imielinski's Hit Papers
Peers
Comparison fields: 5 of 185
- Cancer Research 13.4k
- Oncology 11.4k
- Molecular Biology 21.5k
- Genetics 7.3k
- Reproductive Medicine 2.1k
Countries citing papers authored by Marcin B. Imielinski
This map shows the geographic impact of Marcin B. Imielinski'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 Marcin B. Imielinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin B. Imielinski more than expected).
Fields of papers citing papers by Marcin B. Imielinski
This network shows the impact of papers produced by Marcin B. Imielinski. 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 Marcin B. Imielinski. The network helps show where Marcin B. Imielinski may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin B. Imielinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Signatures of mutational processes in human cancer Hit paper breakdown → | 2013 | 7583 |
| 2 | Integrated genomic analyses of ovarian carcinoma Hit paper breakdown → | 2011 | 6345 |
| 3 | Mutational heterogeneity in cancer and the search for new cancer-associated genes Hit paper breakdown → | 2013 | 4266 |
| 4 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 5 | Next-generation characterization of the Cancer Cell Line Encyclopedia Hit paper breakdown → | 2019 | 2326 |
| 6 | A Landscape of Driver Mutations in Melanoma Hit paper breakdown → | 2012 | 2138 |
| 7 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 8 | Mapping the Hallmarks of Lung Adenocarcinoma with Massively Parallel Sequencing Hit paper breakdown → | 2012 | 1516 |
| 9 | Autism genome-wide copy number variation reveals ubiquitin and neuronal genes Hit paper breakdown → | 2009 | 1178 |
| 10 | Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47 Hit paper breakdown → | 2011 | 1139 |
| 11 | Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas Hit paper breakdown → | 2016 | 951 |
| 12 | Common genetic variants on 5p14.1 associate with autism spectrum disorders Hit paper breakdown → | 2009 | 807 |
| 13 | The chromatin accessibility landscape of primary human cancers Hit paper breakdown → | 2018 | 802 |
| 14 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 705 |
| 15 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 550 |
| 16 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 476 |
| 17 | 2009 | 424 | |
| 18 | Analyses of non-coding somatic drivers in 2,658 cancer whole genomes Hit paper breakdown → | 2020 | 419 |
| 19 | Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes Hit paper breakdown → | 2021 | 359 |
| 20 | 2009 | 346 |
About Marcin B. Imielinski
Marcin B. Imielinski is a scholar working on Cancer Research, Genetics, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 107 papers that have together received 44.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (40 papers), RNA modifications and cancer (16 papers), Genetic factors in colorectal cancer (13 papers), Genomic variations and chromosomal abnormalities (11 papers), Lung Cancer Treatments and Mutations (11 papers), Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (9 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). The work is most often cited by research in Cancer Research (13.4k citations), Oncology (11.4k citations), Molecular Biology (21.5k citations), Genetics (7.3k citations) and Reproductive Medicine (2.1k citations). Marcin B. Imielinski has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthew Meyerson, Olivier Elemento, Iman Hajirasouliha, Peter S. Choi, Pegah Khosravi, Ehsan Mohamad Kazemi, Calin A. Belta, Andrew D. Cherniack, Hideo Watanabe and Xiaoyang Zhang. Their work appears in journals such as Nature Communications, Nature, Nature Genetics, Cell and Proceedings of the National Academy of Sciences.
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.