Simon J. Larsen

656 total citations
12 papers, 387 citations indexed

About

Simon J. Larsen is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Simon J. Larsen has authored 12 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Simon J. Larsen's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (3 papers) and RNA modifications and cancer (2 papers). Simon J. Larsen is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (3 papers) and RNA modifications and cancer (2 papers). Simon J. Larsen collaborates with scholars based in Denmark, Germany and Brazil. Simon J. Larsen's co-authors include Jan Baumbach, Harald Schmidt, Manuela G. López, Pamela W. M. Kleikers, Javier Egea, Ahmed Hassan, Ana I. Casas, Vanessa Gómez‐Rangel, Mahmoud H. Elbatreek and Emre Güney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and International Journal of Molecular Sciences.

In The Last Decade

Simon J. Larsen

12 papers receiving 385 citations

Peers

Simon J. Larsen

CTM

GENET

ONCOL

Rayala Swetha India

Marilena M. Bourdakou Cyprus

Yin‐Jeh Tzeng Taiwan

Chuang Kee Ong United Kingdom

Xiaoduo Dong Singapore

Tian Ran Zhu United States

Chandra Sekhar Chirumamilla Belgium

Jialin Shang China

Kumar Parijat Tripathi Italy

R. Magesh India

Rayala Swetha India

Simon J. Larsen

201 ×0.9

83 ×1.3

CTM

70 ×1.4

GENET

63 ×1.3

ONCOL

74 ×1.7

Citations per year, relative to Simon J. Larsen Simon J. Larsen (= 1×) peers Rayala Swetha

Countries citing papers authored by Simon J. Larsen

Since Specialization

Citations

This map shows the geographic impact of Simon J. Larsen'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 Simon J. Larsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon J. Larsen more than expected).

Fields of papers citing papers by Simon J. Larsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon J. Larsen. 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 Simon J. Larsen. The network helps show where Simon J. Larsen may publish in the future.

Co-authorship network of co-authors of Simon J. Larsen

This figure shows the co-authorship network connecting the top 25 collaborators of Simon J. Larsen. A scholar is included among the top collaborators of Simon J. Larsen 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 Simon J. Larsen. Simon J. Larsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Doktor, Thomas Koed, et al.. (2020). DeepCLIP: predicting the effect of mutations on protein–RNA binding with deep learning. Nucleic Acids Research. 48(13). 7099–7118. 63 indexed citations

Larsen, Simon J., Harald Schmidt, & Jan Baumbach. (2020). De Novo and Supervised Endophenotyping Using Network-Guided Ensemble Learning. Research Publications (Maastricht University). 3(1). 8–21. 9 indexed citations

Villacis, Rolando André Rios, Luísa Matos do Canto, Carlos Eduardo Fonseca‐Alves, et al.. (2020). Inflammatory Breast Cancer: Clinical Implications of Genomic Alterations and Mutational Profiling. Cancers. 12(10). 2816–2816. 18 indexed citations

Costa, Alexandre André Balieiro Anastácio da, Luísa Matos do Canto, Simon J. Larsen, et al.. (2019). Genomic profiling in ovarian cancer retreated with platinum based chemotherapy presented homologous recombination deficiency and copy number imbalances of CCNE1 and RB1 genes. BMC Cancer. 19(1). 422–422. 22 indexed citations

Canto, Luísa Matos do, Simon J. Larsen, Cristovam Scapulatempo‐Neto, et al.. (2019). Increased Levels of Genomic Instability and Mutations in Homologous Recombination Genes in Locally Advanced Rectal Carcinomas. Frontiers in Oncology. 9. 395–395. 13 indexed citations

Tweedell, Rebecca E., Dingyin Tao, Timothy Hamerly, et al.. (2019). The Selection of a Hepatocyte Cell Line Susceptible to Plasmodium falciparum Sporozoite Invasion That Is Associated With Expression of Glypican-3. Frontiers in Microbiology. 10. 127–127. 12 indexed citations

Casas, Ana I., Ahmed Hassan, Simon J. Larsen, et al.. (2019). From single drug targets to synergistic network pharmacology in ischemic stroke. Proceedings of the National Academy of Sciences. 116(14). 7129–7136. 163 indexed citations

Amorim, Renée Laufer, Carlos Eduardo Fonseca‐Alves, Rolando André Rios Villacis, et al.. (2019). Comprehensive Genomic Profiling of Androgen-Receptor-Negative Canine Prostate Cancer. International Journal of Molecular Sciences. 20(7). 1555–1555. 21 indexed citations

Larsen, Simon J., Luísa Matos do Canto, Sílvia Regina Rogatto, & Jan Baumbach. (2018). CoNVaQ: a web tool for copy number variation-based association studies. BMC Genomics. 19(1). 369–369. 22 indexed citations

10.

Larsen, Simon J., Richard Röttger, Harald Schmidt, & Jan Baumbach. (2018). E. coligene regulatory networks are inconsistent with gene expression data. Nucleic Acids Research. 47(1). 85–92. 35 indexed citations

11.

Larsen, Simon J. & Jan Baumbach. (2017). CytoMCS: A Multiple Maximum Common Subgraph Detection Tool for Cytoscape. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 14(2). 5 indexed citations

12.

Larsen, Simon J., et al.. (2016). A Simulated Annealing Algorithm for Maximum Common Edge Subgraph Detection in Biological Networks. University of Southern Denmark Research Portal (University of Southern Denmark). 2. 341–348. 4 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.

Explore authors with similar magnitude of impact