Jesper B. Bramsen

14.2k total citations · 3 hit papers
49 papers, 10.2k citations indexed

About

Jesper B. Bramsen is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Jesper B. Bramsen has authored 49 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Cancer Research and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Jesper B. Bramsen's work include MicroRNA in disease regulation (17 papers), Advanced biosensing and bioanalysis techniques (12 papers) and RNA Interference and Gene Delivery (11 papers). Jesper B. Bramsen is often cited by papers focused on MicroRNA in disease regulation (17 papers), Advanced biosensing and bioanalysis techniques (12 papers) and RNA Interference and Gene Delivery (11 papers). Jesper B. Bramsen collaborates with scholars based in Denmark, United States and Switzerland. Jesper B. Bramsen's co-authors include Jørgen Kjems, Thomas B. Hansen, Christian Kroun Damgaard, Trine I. Jensen, Bettina Hjelm Clausen, Bente Finsen, Erik D. Wiklund, Susan J. Clark, Aaron L. Statham and Torben F. Ørntoft and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jesper B. Bramsen

47 papers receiving 10.1k citations

Hit Papers

Natural RNA circles function as efficient microRNA sponges 2011 2026 2016 2021 2013 2011 2017 2.0k 4.0k 6.0k

Peers

Jesper B. Bramsen
Leonora Balaj United States
Jeffrey L. Franklin United States
Mathias Munschauer United States
Rong Xu Australia
Imre Mäger United Kingdom
Jesper B. Bramsen
Citations per year, relative to Jesper B. Bramsen Jesper B. Bramsen (= 1×) peers Alicia Llorente

Countries citing papers authored by Jesper B. Bramsen

Since Specialization
Citations

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

Fields of papers citing papers by Jesper B. Bramsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesper B. Bramsen. 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 Jesper B. Bramsen. The network helps show where Jesper B. Bramsen may publish in the future.

Co-authorship network of co-authors of Jesper B. Bramsen

This figure shows the co-authorship network connecting the top 25 collaborators of Jesper B. Bramsen. A scholar is included among the top collaborators of Jesper B. Bramsen 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 Jesper B. Bramsen. Jesper B. Bramsen 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.
Martínez‐Val, Ana, Dorte B. Bekker‐Jensen, Arne Lund Jørgensen, et al.. (2025). Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse. Molecular Systems Biology. 21(7). 776–806. 1 indexed citations
2.
Jørgensen, Arne Lund, Stephen Hamilton‐Dutoit, Jesper B. Bramsen, Claus L. Andersen, & Ida E. Holm. (2025). Virtual Tissue Microarrays for Validating Digital Biomarker Analysis in Colorectal Carcinoma. Laboratory Investigation. 105(4). 104098–104098.
3.
Taira, Aurora, Mervi Aavikko, Riku Katainen, et al.. (2025). Comprehensive metabolomic and epigenomic characterization of microsatellite stable BRAF-mutated colorectal cancer. Oncogene. 44(22). 1718–1730. 2 indexed citations
4.
Santamarina, Martín, Jesper B. Bramsen, Pablo Conesa‐Zamora, et al.. (2023). MSIMEP: Predicting microsatellite instability from microarray DNA methylation tumor profiles. iScience. 26(3). 106127–106127. 3 indexed citations
5.
Simó‐Riudalbas, Laia, Sandra Offner, Evarist Planet, et al.. (2022). Transposon-activated POU5F1B promotes colorectal cancer growth and metastasis. Nature Communications. 13(1). 4913–4913. 14 indexed citations
6.
Liu, Ning Qing, Menno ter Huurne, Luan N. Nguyen, et al.. (2017). The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression. Nature Communications. 8(1). 14418–14418. 46 indexed citations
7.
Christensen, Lise Lotte, Mark P. Hamilton, Morten M. Nielsen, et al.. (2016). SNHG16 is regulated by the Wnt pathway in colorectal cancer and affects genes involved in lipid metabolism. Molecular Oncology. 10(8). 1266–1282. 148 indexed citations
8.
Ongen, Halit, Claus L. Andersen, Jesper B. Bramsen, et al.. (2014). Putative cis-regulatory drivers in colorectal cancer. Nature. 512(7512). 87–90. 94 indexed citations
9.
Lundin, Karin E., Torben Højland, Bo R. Hansen, et al.. (2013). Biological Activity and Biotechnological Aspects of Locked Nucleic Acids. Advances in genetics. 82. 47–107. 84 indexed citations
10.
Nairismägi, Maarja‐Liisa, Annette Füchtbauer, Rodrigo Labouriau, Jesper B. Bramsen, & Ernst‐Martin Füchtbauer. (2013). The Proto-Oncogene TWIST1 Is Regulated by MicroRNAs. PLoS ONE. 8(5). e66070–e66070. 23 indexed citations
11.
Bramsen, Jesper B., et al.. (2012). In vivo screening of modified siRNAs for non-specific antiviral effect in a small fish model: number and localization in the strands are important. Nucleic Acids Research. 40(10). 4653–4665. 15 indexed citations
12.
Pennimpede, Tracie, Andrea König, Joana A. Vidigal, et al.. (2012). In vivo knockdown of Brachyury results in skeletal defects and urorectal malformations resembling caudal regression syndrome. Developmental Biology. 372(1). 55–67. 38 indexed citations
13.
Bramsen, Jesper B. & Jørgen Kjems. (2012). Engineering Small Interfering RNAs by Strategic Chemical Modification. Methods in molecular biology. 942. 87–109. 25 indexed citations
14.
Novotny, Guy Wayne, Kirstine Belling, Jesper B. Bramsen, et al.. (2012). MicroRNA expression profiling of carcinoma in situ cells of the testis. Endocrine Related Cancer. 19(3). 365–379. 72 indexed citations
15.
Venø, Morten T., Jesper B. Bramsen, Christian Bendixen, et al.. (2012). Spatio-temporal regulation of ADAR editing during development in porcine neural tissues. RNA Biology. 9(8). 1054–1065. 35 indexed citations
16.
Bramsen, Jesper B., Marie S. Ostenfeld, Erik D. Wiklund, et al.. (2011). The miR-143/-145 cluster regulates plasminogen activator inhibitor-1 in bladder cancer. British Journal of Cancer. 106(2). 366–374. 100 indexed citations
17.
Laursen, Maria Bach, Malgorzata Maria Pakula, Shan Gao, et al.. (2010). Utilization of unlocked nucleic acid (UNA) to enhance siRNA performance in vitro and in vivo. Molecular BioSystems. 6(5). 862–870. 93 indexed citations
18.
Dyrskjøt, Lars, Marie S. Ostenfeld, Jesper B. Bramsen, et al.. (2009). Genomic Profiling of MicroRNAs in Bladder Cancer: miR-129 Is Associated with Poor Outcome and Promotes Cell Death In vitro. Cancer Research. 69(11). 4851–4860. 315 indexed citations
19.
Glud, Sys Zoffmann, Jesper B. Bramsen, Frederik Dagnæs‐Hansen, et al.. (2009). Naked siLNA-Mediated Gene Silencing of Lung Bronchoepithelium EGFP Expression After Intravenous Administration. Oligonucleotides. 19(2). 163–168. 41 indexed citations
20.
Torarinsson, Elfar, Zizhen Yao, Jesper B. Bramsen, et al.. (2007). Comparative genomics beyond sequence-based alignments: RNA structures in the ENCODE regions. Genome Research. 18(2). 242–251. 73 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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