Lucy Mathot
Impact in
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- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
Papers in
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- Molecular Biology Techniques and Applications 5
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Gene expression and cancer classification 2
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Tobias Sjöblom (12 shared papers)Mats Nilsson (3 shared papers)Iván Hernández-Neuta (1 shared paper)Qingshan Wei (1 shared paper)Yang Zhao (1 shared paper)Aydogan Özcan (1 shared paper)Annika Ahlford (1 shared paper)Derek Tseng (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Chemical Communications (1 paper)Nature Communications (1 paper)BMC Cancer (1 paper)BMC Biotechnology (1 paper)
- Partner nations
- SwedenUnited StatesNorway
In The Last Decade
Lucy Mathot
13 papers receiving 298 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 60
- Oncology 83
- Biophysics 14
- Molecular Biology 151
- Biomedical Engineering 95
Countries citing papers authored by Lucy Mathot
This map shows the geographic impact of Lucy Mathot'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 Lucy Mathot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Mathot more than expected).
Fields of papers citing papers by Lucy Mathot
This network shows the impact of papers produced by Lucy Mathot. 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 Lucy Mathot. The network helps show where Lucy Mathot may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucy Mathot, 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 | 2017 | 104 | |
| 2 | 2011 | 66 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 18 | |
| 5 | 2013 | 17 | |
| 6 | 2015 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2014 | 10 | |
| 9 | 2012 | 7 | |
| 10 | 2010 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2025 | 0 |
About Lucy Mathot
Lucy Mathot is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Surgery, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Acute Myeloid Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (60 citations), Oncology (83 citations), Biophysics (14 citations), Molecular Biology (151 citations) and Biomedical Engineering (95 citations). Lucy Mathot has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Tobias Sjöblom, Mats Nilsson, Iván Hernández-Neuta, Qingshan Wei, Yang Zhao, Aydogan Özcan, Annika Ahlford, Derek Tseng, Malte Kühnemund and Yingjie Wang. Their work appears in journals such as Clinical Cancer Research, Chemical Communications, Nature Communications, BMC Cancer and BMC Biotechnology.
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.