Maria Secrier
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Gene expression and cancer classification
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- Cancer Genomics and Diagnostics
Papers in
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- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 4
- Oncology 15
- Pancreatic and Hepatic Oncology Research 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Reinhard Schneider (4 shared papers)Georgios A. Pavlopoulos (2 shared papers)Jan Aerts (2 shared papers)Charalampos Moschopoulos (1 shared paper)Σοφία Κοσσίδα (1 shared paper)Theodoros Soldatos (1 shared paper)Pantelis G. Bagos (1 shared paper)Guidantonio Malagoli Tagliazucchi (2 shared papers)
- Journals
- Genome biology (3 papers)British Journal of Cancer (2 papers)Scientific Reports (2 papers)iScience (1 paper)BioData Mining (1 paper)
- Partner nations
- United KingdomGermanyLuxembourg
In The Last Decade
Maria Secrier
25 papers receiving 825 citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 492
- Cancer Research 98
- Statistical and Nonlinear Physics 77
- Computational Theory and Mathematics 94
- Biophysics 24
Countries citing papers authored by Maria Secrier
This map shows the geographic impact of Maria Secrier'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 Maria Secrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Secrier more than expected).
Fields of papers citing papers by Maria Secrier
This network shows the impact of papers produced by Maria Secrier. 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 Maria Secrier. The network helps show where Maria Secrier may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Secrier, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 460 | |
| 2 | 2018 | 64 | |
| 3 | 2023 | 45 | |
| 4 | 2012 | 36 | |
| 5 | 2013 | 35 | |
| 6 | 2009 | 34 | |
| 7 | 2023 | 34 | |
| 8 | 2017 | 19 | |
| 9 | 2011 | 17 | |
| 10 | 2015 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 3 |
About Maria Secrier
Maria Secrier is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 27 papers that have together received 842 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), Gene Regulatory Network Analysis (5 papers), Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Bioinformatics and Genomic Networks (4 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Molecular Biology (492 citations), Cancer Research (98 citations), Statistical and Nonlinear Physics (77 citations), Computational Theory and Mathematics (94 citations) and Biophysics (24 citations). Maria Secrier has collaborated with scholars based in United Kingdom, Germany and Luxembourg. Frequent co-authors include Reinhard Schneider, Georgios A. Pavlopoulos, Jan Aerts, Charalampos Moschopoulos, Σοφία Κοσσίδα, Theodoros Soldatos, Pantelis G. Bagos, Guidantonio Malagoli Tagliazucchi, Michael P. H. Stumpf and Tina Toni. Their work appears in journals such as Genome biology, British Journal of Cancer, Scientific Reports, iScience and BioData Mining.
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.