Thilde Terkelsen

771 total citations
18 papers, 387 citations indexed

About

Thilde Terkelsen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Thilde Terkelsen has authored 18 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Thilde Terkelsen's work include Bioinformatics and Genomic Networks (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). Thilde Terkelsen is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). Thilde Terkelsen collaborates with scholars based in Denmark, Norway and Italy. Thilde Terkelsen's co-authors include Elena Papaleo, Matteo Lambrughi, Anders Krogh, Irina Gromova, Vilde Drageset Haakensen, Pavel Gromov, Isabelle da Piedade, Mohamed Mounir, Birthe B. Kragelund and Kresten Lindorff‐Larsen and has published in prestigious journals such as Nature Communications, Gastroenterology and Journal of Molecular Biology.

In The Last Decade

Thilde Terkelsen

18 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thilde Terkelsen Denmark 12 282 95 46 35 33 18 387
Catherine Snow United Kingdom 3 411 1.5× 73 0.8× 46 1.0× 26 0.7× 53 1.6× 3 544
Yudong Wang China 13 358 1.3× 122 1.3× 70 1.5× 37 1.1× 36 1.1× 28 563
Charles Ducker United Kingdom 10 416 1.5× 55 0.6× 69 1.5× 29 0.8× 33 1.0× 21 493
Xiaoli An China 13 278 1.0× 32 0.3× 50 1.1× 28 0.8× 17 0.5× 32 418
Bingbing Hao China 10 329 1.2× 44 0.5× 83 1.8× 44 1.3× 21 0.6× 16 433
Benjamin C. Jennings United States 10 484 1.7× 55 0.6× 99 2.2× 19 0.5× 23 0.7× 18 655
Beth E. Zucconi United States 14 679 2.4× 97 1.0× 122 2.7× 36 1.0× 35 1.1× 18 827
Jenny J. Fischer Germany 12 550 2.0× 45 0.5× 40 0.9× 28 0.8× 68 2.1× 15 643
César Angeletti United States 10 349 1.2× 46 0.5× 79 1.7× 60 1.7× 34 1.0× 13 503
Jana Biermann Sweden 9 144 0.5× 66 0.7× 45 1.0× 36 1.0× 23 0.7× 14 296

Countries citing papers authored by Thilde Terkelsen

Since Specialization
Citations

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

Fields of papers citing papers by Thilde Terkelsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thilde Terkelsen. 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 Thilde Terkelsen. The network helps show where Thilde Terkelsen may publish in the future.

Co-authorship network of co-authors of Thilde Terkelsen

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

All Works

18 of 18 papers shown
1.
Kvich, Lasse, Blaine Gabriel Fritz, Henrike Zschach, et al.. (2024). Biofilms and core pathogens shape the tumor microenvironment and immune phenotype in colorectal cancer. Gut Microbes. 16(1). 2350156–2350156. 15 indexed citations
2.
Terkelsen, Thilde, Fabian Coscia, Sophia Doll, et al.. (2023). Proteomic Profiling of Colorectal Adenomas Identifies a Predictive Risk Signature for Development of Metachronous Advanced Colorectal Neoplasia. Gastroenterology. 165(1). 121–132.e5. 18 indexed citations
3.
Prada-Luengo, Iñigo, et al.. (2023). N-of-one differential gene expression without control samples using a deep generative model. Genome biology. 24(1). 263–263. 2 indexed citations
4.
Tiberti, Matteo, et al.. (2022). MutateX: an automated pipeline for in silico saturation mutagenesis of protein structures and structural ensembles. Briefings in Bioinformatics. 23(3). 24 indexed citations
5.
Puryear, Wendy B., Kaitlin Sawatzki, Steen Wilhelm Knudsen, et al.. (2021). Emergence and radiation of distemper viruses in terrestrial and marine mammals. Proceedings of the Royal Society B Biological Sciences. 288(1961). 20211969–20211969. 7 indexed citations
6.
Terkelsen, Thilde, Anders Krogh, & Elena Papaleo. (2020). CAncer bioMarker Prediction Pipeline (CAMPP)—A standardized framework for the analysis of quantitative biological data. PLoS Computational Biology. 16(3). e1007665–e1007665. 6 indexed citations
7.
Terkelsen, Thilde, Francesco Russo, Pavel Gromov, et al.. (2020). Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration. Breast Cancer Research. 22(1). 73–73. 28 indexed citations
8.
Colaprico, Antonio, Catharina Olsen, Matthew H. Bailey, et al.. (2020). Interpreting pathways to discover cancer driver genes with Moonlight. Nature Communications. 11(1). 69–69. 62 indexed citations
9.
Terkelsen, Thilde, Maria Pernemalm, Pavel Gromov, et al.. (2020). High‐throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype‐specific serologically relevant biomarkers. Molecular Oncology. 15(2). 429–461. 29 indexed citations
10.
Colaprico, Antonio, Catharina Olsen, Matthew H. Bailey, et al.. (2020). Interpreting pathways to discover cancer driver genes with Moonlight. Faculty of 1000 Research Ltd. 11(1). 69. 4 indexed citations
11.
Lucchetta, Marta, et al.. (2019). Distinct signatures of lung cancer types: aberrant mucin O-glycosylation and compromised immune response. BMC Cancer. 19(1). 824–824. 31 indexed citations
12.
Pedersen, Steen B., et al.. (2019). Fast Translation within the First 45 Codons Decreases mRNA Stability and Increases Premature Transcription Termination in E. coli. Journal of Molecular Biology. 431(6). 1088–1097. 4 indexed citations
13.
Terkelsen, Thilde, et al.. (2019). Alterations of the interactome of Bcl-2 proteins in breast cancer at the transcriptional, mutational and structural level. PLoS Computational Biology. 15(12). e1007485–e1007485. 41 indexed citations
14.
Terkelsen, Thilde, Vilde Drageset Haakensen, Radka Saldova, et al.. (2018). N‐glycan signatures identified in tumor interstitial fluid and serum of breast cancer patients: association with tumor biology and clinical outcome. Molecular Oncology. 12(6). 972–990. 22 indexed citations
15.
Hendus‐Altenburger, Ruth, Matteo Lambrughi, Thilde Terkelsen, et al.. (2017). A phosphorylation-motif for tuneable helix stabilisation in intrinsically disordered proteins – Lessons from the sodium proton exchanger 1 (NHE1). Cellular Signalling. 37. 40–51. 37 indexed citations
16.
Stockmarr, Anders, Helge Egsgaard, Thilde Terkelsen, et al.. (2016). Concurrent elevation of CO2, O3and temperature severely affects oil quality and quantity in rapeseed. Journal of Experimental Botany. 67(14). 4117–4125. 28 indexed citations
17.
Nygaard, Mads, Thilde Terkelsen, Matteo Tiberti, et al.. (2016). The Mutational Landscape of the Oncogenic MZF1 SCAN Domain in Cancer. Frontiers in Molecular Biosciences. 3. 78–78. 24 indexed citations
18.
Egsgaard, Helge, et al.. (2015). Significant Reductions in Oil Quality and Lipid Content of Oilseed Rape (Brassica Napus L.) Under Climate Change. Procedia Environmental Sciences. 29. 121–122. 5 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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2026