Laëtitia Marisa
- Oncology top 5%
- Colorectal Cancer Treatments and Studies 10
- Cancer Cells and Metastasis 4
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 7
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- Genetic factors in colorectal cancer 13
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
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- Ferroptosis and cancer prognosis 4
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- Cholangiocarcinoma and Gallbladder Cancer Studies 4
- Co-authors
- Aurélien de ReynièsPierre Laurent‐PuigNabila ElarouciMarine JeanmouginCaroline PaccardYuna BlumMickaël GuedjGrégory Nuel
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Laëtitia Marisa
38 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Oncology 711
- Cancer Research 354
- Pathology and Forensic Medicine 254
- Molecular Biology 598
- Immunology 164
Countries citing papers authored by Laëtitia Marisa
This map shows the geographic impact of Laëtitia Marisa'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 Laëtitia Marisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laëtitia Marisa more than expected).
Fields of papers citing papers by Laëtitia Marisa
This network shows the impact of papers produced by Laëtitia Marisa. 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 Laëtitia Marisa. The network helps show where Laëtitia Marisa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laëtitia Marisa, 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 | 2023 | 1 | |
| 2 | 2023 | 29 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 37 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 45 | |
| 7 | Stratification of Pancreatic Ductal Adenocarcinomas Based on Tumor and Microenvironment Featuresbreakdown → | 2018 | 301 |
| 8 | 2018 | 1 | |
| 9 | 2018 | 60 | |
| 10 | 2017 | 44 | |
| 11 | 2015 | 45 | |
| 12 | 2014 | 4 | |
| 13 | 2014 | 121 | |
| 14 | 2014 | 39 | |
| 15 | 2012 | 8 | |
| 16 | 2012 | 17 | |
| 17 | Should we abandon the t-test in the analysis of gene expression microarray data: a comparison of variance modeling strategies | 2010 | 2 |
| 18 | 2010 | 114 | |
| 19 | 2010 | 114 | |
| 20 | 2007 | 30 |
About Laëtitia Marisa
Laëtitia Marisa is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (13 papers), Colorectal Cancer Treatments and Studies (10 papers), Cancer Genomics and Diagnostics (7 papers), Gene expression and cancer classification (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Cells and Metastasis (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Oncology (711 citations), Cancer Research (354 citations) and Pathology and Forensic Medicine (254 citations). Laëtitia Marisa has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Aurélien de Reyniès, Pierre Laurent‐Puig, Nabila Elarouci, Marine Jeanmougin, Caroline Paccard, Yuna Blum, Mickaël Guedj, Grégory Nuel, Raphaël Maréchal and Magali Svrcek. Their work appears in journals such as Annals of Oncology, PLoS ONE, Journal of Clinical Oncology, Oncotarget and Strahlentherapie und Onkologie.
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.