Theo Knijnenburg

49.0k total citations
37 papers, 1.3k citations indexed

About

Theo Knijnenburg is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Theo Knijnenburg has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Computational Theory and Mathematics. Recurrent topics in Theo Knijnenburg's work include Bioinformatics and Genomic Networks (14 papers), Gene expression and cancer classification (10 papers) and Fungal and yeast genetics research (8 papers). Theo Knijnenburg is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Gene expression and cancer classification (10 papers) and Fungal and yeast genetics research (8 papers). Theo Knijnenburg collaborates with scholars based in United States, Netherlands and United Kingdom. Theo Knijnenburg's co-authors include Marcel Reinders, Ilya Shmulevich, Lodewyk F.A. Wessels, Jack T. Pronk, Pascale Daran‐Lapujade, Jean‐Marc Daran, William Poole, Brady Bernard, David L. Gibbs and Erik A. F. de Hulster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Theo Knijnenburg

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theo Knijnenburg United States 21 1.0k 139 131 128 126 37 1.3k
Michael R. Meyer United States 11 2.0k 1.9× 125 0.9× 67 0.5× 155 1.2× 92 0.7× 12 2.3k
Harald Barsnes Norway 26 1.8k 1.7× 61 0.4× 101 0.8× 126 1.0× 43 0.3× 68 2.4k
Gabriella Rustici United Kingdom 16 1.5k 1.5× 90 0.6× 135 1.0× 143 1.1× 26 0.2× 26 1.9k
Anne Moreau France 22 770 0.7× 71 0.5× 36 0.3× 67 0.5× 119 0.9× 55 1.4k
Oliver Poetz Germany 20 775 0.7× 107 0.8× 82 0.6× 58 0.5× 30 0.2× 63 1.4k
Scott W Doniger United States 10 1.1k 1.1× 32 0.2× 122 0.9× 306 2.4× 79 0.6× 11 1.6k
Morten Krogh Sweden 21 723 0.7× 35 0.3× 206 1.6× 81 0.6× 53 0.4× 38 1.3k
Douglas E. Bassett United States 14 2.3k 2.2× 77 0.6× 178 1.4× 312 2.4× 38 0.3× 18 2.7k
Zhengchang Su United States 21 1.2k 1.2× 37 0.3× 123 0.9× 117 0.9× 28 0.2× 56 1.6k

Countries citing papers authored by Theo Knijnenburg

Since Specialization
Citations

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

Fields of papers citing papers by Theo Knijnenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theo Knijnenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Theo Knijnenburg. A scholar is included among the top collaborators of Theo Knijnenburg 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 Theo Knijnenburg. Theo Knijnenburg 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.
Donovan-Maiye, Rory, Eva Maxfield Brown, Caleb K. Chan, et al.. (2022). A deep generative model of 3D single-cell organization. PLoS Computational Biology. 18(1). e1009155–e1009155. 20 indexed citations
2.
Qin, Guangrong, Theo Knijnenburg, David L. Gibbs, et al.. (2022). A functional module states framework reveals transcriptional states for drug and target prediction. Cell Reports. 38(3). 110269–110269. 1 indexed citations
3.
Robertson, A. Gordon, Christina Yau, Jian Carrot‐Zhang, et al.. (2021). Integrative modeling identifies genetic ancestry-associated molecular correlates in human cancer. STAR Protocols. 2(2). 100483–100483. 1 indexed citations
4.
Orozco, Javier I. J., Theo Knijnenburg, Matthew P. Salomon, et al.. (2018). Epigenetic profiling for the molecular classification of metastatic brain tumors. Nature Communications. 9(1). 4627–4627. 78 indexed citations
5.
Askovich, Peter S., Stephen A. Ramsey, Alan H. Diercks, et al.. (2017). Identifying novel transcription factors involved in the inflammatory response by using binding site motif scanning in genomic regions defined by histone acetylation. PLoS ONE. 12(9). e0184850–e0184850. 3 indexed citations
6.
Poole, William, Kalle Leinonen, Ilya Shmulevich, Theo Knijnenburg, & Brady Bernard. (2017). Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression. PLoS Computational Biology. 13(2). e1005347–e1005347. 11 indexed citations
7.
Poole, William, David L. Gibbs, Ilya Shmulevich, Brady Bernard, & Theo Knijnenburg. (2016). Combining dependent P- values with an empirical adaptation of Brown’s method. Bioinformatics. 32(17). i430–i436. 89 indexed citations
8.
Dhankani, Varsha, David L. Gibbs, Theo Knijnenburg, et al.. (2016). Using Incomplete Trios to Boost Confidence in Family Based Association Studies. Frontiers in Genetics. 7. 34–34. 1 indexed citations
9.
Bressler, Ryan, Richard Kreisberg, Brady Bernard, et al.. (2015). CloudForest: A Scalable and Efficient Random Forest Implementation for Biological Data. PLoS ONE. 10(12). e0144820–e0144820. 1 indexed citations
10.
Knijnenburg, Theo, Tycho Bismeijer, Lodewyk F.A. Wessels, & Ilya Shmulevich. (2015). A multilevel pan-cancer map links gene mutations to cancer hallmarks. Chinese Journal of Cancer. 34(3). 439–49. 20 indexed citations
11.
Papadakis, Andreas I., Chong Sun, Theo Knijnenburg, et al.. (2015). SMARCE1 suppresses EGFR expression and controls responses to MET and ALK inhibitors in lung cancer. Cell Research. 25(4). 445–458. 29 indexed citations
12.
13.
Jansen, Maurice P.H.M., Theo Knijnenburg, Iris Simón, et al.. (2013). Hallmarks of Aromatase Inhibitor Drug Resistance Revealed by Epigenetic Profiling in Breast Cancer. Cancer Research. 73(22). 6632–6641. 57 indexed citations
14.
Knijnenburg, Theo, Jake Lin, Hector Rovira, John Boyle, & Ilya Shmulevich. (2011). EPEPT: A web service for enhanced P-value estimation in permutation tests. BMC Bioinformatics. 12(1). 411–411. 5 indexed citations
15.
Saleem, Ramsey A., David J. Dilworth, Yakun Wan, et al.. (2010). Genome-Wide Analysis of Effectors of Peroxisome Biogenesis. PLoS ONE. 5(8). e11953–e11953. 22 indexed citations
16.
Knijnenburg, Theo, Jean‐Marc Daran, Pascale Daran‐Lapujade, et al.. (2009). Combinatorial effects of environmental parameters on transcriptional regulation in Saccharomyces cerevisiae: A quantitative analysis of a compendium of chemostat-based transcriptome data. BMC Genomics. 10(1). 53–53. 50 indexed citations
17.
Knijnenburg, Theo, Lodewyk F.A. Wessels, & Marcel Reinders. (2008). Combinatorial influence of environmental parameters on transcription factor activity. Bioinformatics. 24(13). i172–i181. 8 indexed citations
18.
Knijnenburg, Theo, Lodewyk F.A. Wessels, & Marcel Reinders. (2008). Creating gene set activity profiles with time-series expression data. International Journal of Bioinformatics Research and Applications. 4(3). 306–306. 3 indexed citations
19.
Groot, Marco J. L. de, Pascale Daran‐Lapujade, Bas van Breukelen, et al.. (2007). Quantitative proteomics and transcriptomics of anaerobic and aerobic yeast cultures reveals post-transcriptional regulation of key cellular processes. Microbiology. 153(11). 3864–3878. 100 indexed citations
20.
Abbott, Derek A., et al.. (2007). Generic and specific transcriptional responses to different weak organic acids in anaerobic chemostat cultures ofSaccharomyces cerevisiae. FEMS Yeast Research. 7(6). 819–833. 88 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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