Maria Secrier

4.3k total citations
27 papers, 842 citations indexed

About

Maria Secrier is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maria Secrier has authored 27 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maria Secrier's work include Gene Regulatory Network Analysis (5 papers), Esophageal Cancer Research and Treatment (5 papers) and Bioinformatics and Genomic Networks (4 papers). Maria Secrier is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Esophageal Cancer Research and Treatment (5 papers) and Bioinformatics and Genomic Networks (4 papers). Maria Secrier collaborates with scholars based in United Kingdom, Germany and Luxembourg. Maria Secrier's co-authors include Reinhard Schneider, Georgios A. Pavlopoulos, Jan Aerts, Charalampos Moschopoulos, Theodoros Soldatos, Pantelis G. Bagos, Σοφία Κοσσίδα, Guidantonio Malagoli Tagliazucchi, Tina Toni and Michael P. H. Stumpf and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Maria Secrier

25 papers receiving 825 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Secrier United Kingdom 12 492 102 98 94 77 27 842
Arda Halu United States 16 427 0.9× 114 1.1× 84 0.9× 82 0.9× 292 3.8× 29 1.2k
Aleksandar Stojmirović United States 11 361 0.7× 65 0.6× 50 0.5× 92 1.0× 78 1.0× 25 675
Venkata Satagopam Luxembourg 19 1.1k 2.2× 141 1.4× 158 1.6× 80 0.9× 20 0.3× 66 1.6k
Zhong-Hui Duan United States 16 499 1.0× 73 0.7× 113 1.2× 30 0.3× 20 0.3× 48 965
Iman Tavassoly United States 15 500 1.0× 102 1.0× 78 0.8× 36 0.4× 25 0.3× 25 920
Claus Bendtsen United Kingdom 17 219 0.4× 143 1.4× 69 0.7× 117 1.2× 18 0.2× 47 989
Przemysław Waliszewski Poland 16 216 0.4× 42 0.4× 41 0.4× 34 0.4× 54 0.7× 40 562
Janusz Dutkowski United States 13 857 1.7× 108 1.1× 97 1.0× 79 0.8× 16 0.2× 21 1.2k
Shouhua Wang China 16 636 1.3× 82 0.8× 461 4.7× 43 0.5× 54 0.7× 48 1.1k
Kaname Kojima Japan 17 453 0.9× 68 0.7× 95 1.0× 30 0.3× 21 0.3× 48 867

Countries citing papers authored by Maria Secrier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maria Secrier

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Secrier. A scholar is included among the top collaborators of Maria Secrier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Secrier. Maria Secrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Diniz, Mariana O., Jose I. de las Heras, Callum Hall, et al.. (2025). Evolution of a melanoma that escapes allogeneic rejection. Cell Reports. 44(9). 116288–116288.
2.
Pilling, James, et al.. (2024). An image-based screen for secreted proteins involved in breast cancer G0 cell cycle arrest. Scientific Data. 11(1). 868–868.
3.
Desai, Sujal R., et al.. (2024). Pro-survival roles for p21(Cip1/Waf1) in non-small cell lung cancer. British Journal of Cancer. 132(5). 421–437. 1 indexed citations
4.
Secrier, Maria, et al.. (2024). Distinct patterns of proteostasis network gene expression are associated with different prognoses in melanoma patients. Scientific Reports. 14(1). 198–198. 1 indexed citations
5.
Sottoriva, Andrea, et al.. (2024). Immune evasion impacts the landscape of driver genes during cancer evolution. Genome biology. 25(1). 168–168. 3 indexed citations
6.
7.
Fisher, Jasmin, et al.. (2023). Multi-scale characterisation of homologous recombination deficiency in breast cancer. Genome Medicine. 15(1). 90–90. 7 indexed citations
8.
Secrier, Maria, Lara McGrath, Felicia Ng, et al.. (2023). Immune Cell Abundance and T-cell Receptor Landscapes Suggest New Patient Stratification Strategies in Head and Neck Squamous Cell Carcinoma. Cancer Research Communications. 3(10). 2133–2145. 7 indexed citations
9.
Tagliazucchi, Guidantonio Malagoli, et al.. (2023). Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer. Nature Communications. 14(1). 789–789. 45 indexed citations
10.
Secrier, Maria, et al.. (2023). HistoMIL: A Python package for training multiple instance learning models on histopathology slides. iScience. 26(10). 108073–108073. 6 indexed citations
11.
Lee, Weaverly Colleen, Thomas J. Cunningham, Giampietro Schiavo, et al.. (2021). NMJ-Analyser identifies subtle early changes in mouse models of neuromuscular disease. Scientific Reports. 11(1). 12251–12251. 16 indexed citations
12.
Birsa, Nicol, et al.. (2020). A Comparison of Low Read Depth QuantSeq 3′ Sequencing to Total RNA-Seq in FUS Mutant Mice. Frontiers in Genetics. 11. 562445–562445. 6 indexed citations
13.
Bornschein, Jan, Lorenz Wernisch, Maria Secrier, et al.. (2019). Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction. International Journal of Cancer. 145(12). 3389–3401. 14 indexed citations
14.
Stokes, Michael E., Sophie Wildsmith, Maria Secrier, et al.. (2017). Relationship between PD-L1 expression and survival in head and neck squamous cell carcinoma (HNSCC) patients (pts). Annals of Oncology. 28. v375–v375. 5 indexed citations
15.
Noorani, Ayesha, Jan Bornschein, Andy G. Lynch, et al.. (2017). A comparative analysis of whole genome sequencing of esophageal adenocarcinoma pre- and post-chemotherapy. Genome Research. 27(6). 902–912. 19 indexed citations
16.
Silva, Nadeera de, Anna Paterson, Maria Secrier, et al.. (2015). Molecular effects of Lapatinib in the treatment of HER2 overexpressing oesophago-gastric adenocarcinoma. British Journal of Cancer. 113(9). 1305–1312. 17 indexed citations
17.
Secrier, Maria & Reinhard Schneider. (2013). PhenoTimer: Software for the Visual Mapping of Time-Resolved Phenotypic Landscapes. PLoS ONE. 8(8). e72361–e72361. 1 indexed citations
18.
Chen, Chih‐Chun, et al.. (2011). How neurons migrate: a dynamic in-silico model of neuronal migration in the developing cortex. BMC Systems Biology. 5(1). 154–154. 17 indexed citations
19.
Pavlopoulos, Georgios A., Maria Secrier, Charalampos Moschopoulos, et al.. (2011). Using graph theory to analyze biological networks. BioData Mining. 4(1). 10–10. 460 indexed citations
20.
Secrier, Maria, Tina Toni, & Michael P. H. Stumpf. (2009). The ABC of reverse engineering biological signalling systems. Molecular BioSystems. 5(12). 1925–1935. 34 indexed citations

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.

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