Dominik Lutter

3.1k total citations
38 papers, 1.1k citations indexed

About

Dominik Lutter is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Dominik Lutter has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Cancer Research. Recurrent topics in Dominik Lutter's work include Gene expression and cancer classification (8 papers), Adipose Tissue and Metabolism (7 papers) and Machine Learning in Bioinformatics (5 papers). Dominik Lutter is often cited by papers focused on Gene expression and cancer classification (8 papers), Adipose Tissue and Metabolism (7 papers) and Machine Learning in Bioinformatics (5 papers). Dominik Lutter collaborates with scholars based in Germany, United States and Portugal. Dominik Lutter's co-authors include Fabian J. Theis, Wolfgang Hammerschmidt, Elmar W. Lang, Jan Krumsiek, Carsten Marr, Jonathan Hoser, Mickaël Bouvet, Maximilian Hastreiter, Bill Sugden and Mitchell Hayes and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dominik Lutter

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominik Lutter Germany 16 503 258 240 239 157 38 1.1k
Ewa Bartnik Poland 27 1.7k 3.4× 485 1.9× 84 0.3× 434 1.8× 107 0.7× 115 2.5k
Richard C. McEachin United States 20 661 1.3× 168 0.7× 73 0.3× 144 0.6× 81 0.5× 30 1.2k
Sungki Hong United States 14 635 1.3× 90 0.3× 265 1.1× 87 0.4× 309 2.0× 23 1.2k
Jeon Lee United States 18 271 0.5× 100 0.4× 117 0.5× 90 0.4× 24 0.2× 70 1.0k
Vladimir Galatenko Russia 17 421 0.8× 257 1.0× 63 0.3× 98 0.4× 21 0.1× 62 805
Na Su China 19 461 0.9× 122 0.5× 81 0.3× 94 0.4× 87 0.6× 63 903
Hui Zheng China 23 808 1.6× 238 0.9× 84 0.3× 139 0.6× 158 1.0× 70 1.3k
Xiaoping Cui China 16 839 1.7× 150 0.6× 73 0.3× 345 1.4× 368 2.3× 39 1.5k
Hasnan Jaafar Malaysia 22 384 0.8× 159 0.6× 67 0.3× 136 0.6× 108 0.7× 99 1.3k

Countries citing papers authored by Dominik Lutter

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Lutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Lutter

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Lutter. A scholar is included among the top collaborators of Dominik Lutter 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 Dominik Lutter. Dominik Lutter 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.
Keipert, Susanne, Maria Kutschke, Michaela Keuper, et al.. (2024). Two-stage evolution of mammalian adipose tissue thermogenesis. Science. 384(6700). 1111–1117. 12 indexed citations
2.
Petrenko, Volodymyr, Yui Shibayama, Ivan Nemazanyy, et al.. (2023). Class 3 PI3K coactivates the circadian clock to promote rhythmic de novo purine synthesis. Nature Cell Biology. 25(7). 975–988. 6 indexed citations
3.
Smith, Jacob G., Tomoki Sato, Kevin B. Koronowski, et al.. (2022). Antibiotic-induced microbiome depletion remodels daily metabolic cycles in the brain. Life Sciences. 303. 120601–120601. 7 indexed citations
4.
Keipert, Susanne, Dominik Lutter, Bjoern O. Schroeder, et al.. (2021). Author Correction: Endogenous FGF21-signaling controls paradoxical obesity resistance of UCP1-deficient mice. Nature Communications. 12(1). 1804–1804. 1 indexed citations
5.
Schriever, Sonja C., José Manuel Monroy Kuhn, Andreas Peter, et al.. (2021). Correlation guided Network Integration (CoNI) reveals novel genes affecting hepatic metabolism. Molecular Metabolism. 53. 101295–101295. 3 indexed citations
6.
Keipert, Susanne, Dominik Lutter, Bjoern O. Schroeder, et al.. (2020). Endogenous FGF21-signaling controls paradoxical obesity resistance of UCP1-deficient mice. Nature Communications. 11(1). 624–624. 62 indexed citations
7.
Collins, Leonard B., Roland Frötschl, Norbert Benda, et al.. (2017). Time-matched analysis of DNA adduct formation and early gene expression as predictive tool for renal carcinogenesis in methylazoxymethanol acetate treated Eker rats. Archives of Toxicology. 91(10). 3427–3438. 6 indexed citations
8.
Albanese, Manuel, Takanobu Tagawa, Mickaël Bouvet, et al.. (2016). Epstein–Barr virus microRNAs reduce immune surveillance by virus-specific CD8 + T cells. Proceedings of the National Academy of Sciences. 113(42). E6467–E6475. 127 indexed citations
9.
Tagawa, Takanobu, Manuel Albanese, Mickaël Bouvet, et al.. (2016). Epstein-Barr viral miRNAs inhibit antiviral CD4+ T cell responses targeting IL-12 and peptide processing. The Journal of Experimental Medicine. 213(10). 2065–2080. 105 indexed citations
10.
Padula, Daniela, Ingo Burtscher, Cedric Landerer, et al.. (2016). Pitchfork and Gprasp2 Target Smoothened to the Primary Cilium for Hedgehog Pathway Activation. PLoS ONE. 11(2). e0149477–e0149477. 21 indexed citations
11.
Lutter, Dominik, et al.. (2014). Torpor at high ambient temperature in a neotropical didelphid, the grey short-tailed opossum (Monodelphis domestica). Die Naturwissenschaften. 101(11). 1003–1006. 9 indexed citations
12.
Hasenauer, Jan, Dominik M. Wittmann, Dominik Lutter, et al.. (2013). Sharpening of expression domains induced by transcription and microRNA regulationwithin a spatio-temporal model of mid-hindbrain boundary formation. BMC Systems Biology. 7(1). 48–48. 14 indexed citations
13.
Lutter, Dominik, Philipp Bruns, & Fabian J. Theis. (2011). An Ensemble Approach for Inferring Semi-quantitative Regulatory Dynamics for the Differentiation of Mouse Embryonic Stem Cells Using Prior Knowledge. Advances in experimental medicine and biology. 736. 247–260. 2 indexed citations
14.
Sass, Steffen, Sabine Dietmann, Ulrike Burk, et al.. (2011). MicroRNAs coordinately regulate protein complexes. BMC Systems Biology. 5(1). 136–136. 49 indexed citations
15.
Lutter, Dominik, Carsten Marr, Jan Krumsiek, Elmar W. Lang, & Fabian J. Theis. (2010). Intronic microRNAs support their host genes by mediating synergistic and antagonistic regulatory effects. BMC Genomics. 11(1). 224–224. 109 indexed citations
16.
Lutter, Dominik, Péter Ugocsai, Christoph Moehle, et al.. (2009). Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica. Journal of Biomedical Informatics. 42(4). 605–611. 9 indexed citations
17.
Lutter, Dominik, et al.. (2008). Comparison of unsupervised and supervised gene selection methods. PubMed. 286. 5212–5215. 3 indexed citations
18.
Lutter, Dominik, et al.. (2007). How to extract marker genes from microarray data sets. Conference proceedings. 2007. 4215–4218. 4 indexed citations
19.
Lutter, Dominik, et al.. (2007). Routes to identify marker genes for microarray classification. Conference proceedings. 286. 4617–4620. 4 indexed citations
20.
Lutter, Dominik, K. Stadlthanner, Fabian J. Theis, et al.. (2006). Analyzing gene expression profiles with ICA. University of Regensburg Publication Server (University of Regensburg). 25–30. 3 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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