Marion Lapierre
Impact in
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- Cancer-related Molecular Pathways
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 3
- Genomics and Chromatin Dynamics 2
- Oncology 9
- Cancer-related Molecular Pathways 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Vincent Cavaillès (17 shared papers)Stéphan Jalaguier (8 shared papers)Sandrine Bonnet (6 shared papers)Aurélie Docquier (5 shared papers)Nathalie Scamuffa (1 shared paper)Nabil G. Seidah (1 shared paper)Abdel‐Majid Khatib (2 shared papers)Géraldine Siegfried (2 shared papers)
- Journals
- Molecular Oncology (2 papers)Oncotarget (2 papers)Cancer Research (2 papers)Dalton Transactions (1 paper)Food Chemistry (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Marion Lapierre
22 papers receiving 424 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 96
- Oncology 142
- Molecular Biology 278
- Immunology 58
- Genetics 71
Countries citing papers authored by Marion Lapierre
This map shows the geographic impact of Marion Lapierre'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 Marion Lapierre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Lapierre more than expected).
Fields of papers citing papers by Marion Lapierre
This network shows the impact of papers produced by Marion Lapierre. 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 Marion Lapierre. The network helps show where Marion Lapierre may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Lapierre, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 53 | |
| 2 | 2016 | 47 | |
| 3 | 2014 | 41 | |
| 4 | 2017 | 41 | |
| 5 | 2013 | 34 | |
| 6 | 2011 | 32 | |
| 7 | 2019 | 32 | |
| 8 | 2012 | 24 | |
| 9 | 2017 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2017 | 20 | |
| 12 | 2015 | 17 | |
| 13 | 2023 | 9 | |
| 14 | 2012 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 4 | |
| 17 | 2008 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2014 | 2 | |
| 20 | 2024 | 1 |
About Marion Lapierre
Marion Lapierre is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 22 papers that have together received 428 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Cancer-related Molecular Pathways (4 papers), Genetic factors in colorectal cancer (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (96 citations), Oncology (142 citations), Molecular Biology (278 citations), Immunology (58 citations) and Genetics (71 citations). Marion Lapierre has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Vincent Cavaillès, Stéphan Jalaguier, Sandrine Bonnet, Aurélie Docquier, Nathalie Scamuffa, Nabil G. Seidah, Abdel‐Majid Khatib, Géraldine Siegfried, Catherine Teyssier and Yannick Bontemps. Their work appears in journals such as Molecular Oncology, Oncotarget, Cancer Research, Dalton Transactions and Food Chemistry.
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.