Thomas Naake

1.2k total citations
24 papers, 782 citations indexed

About

Thomas Naake is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Thomas Naake has authored 24 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Spectroscopy and 4 papers in Plant Science. Recurrent topics in Thomas Naake's work include Metabolomics and Mass Spectrometry Studies (13 papers), Bioinformatics and Genomic Networks (6 papers) and Plant Gene Expression Analysis (6 papers). Thomas Naake is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Bioinformatics and Genomic Networks (6 papers) and Plant Gene Expression Analysis (6 papers). Thomas Naake collaborates with scholars based in Germany, United States and France. Thomas Naake's co-authors include Alisdair R. Fernie, Leonardo Perez de Souza, Laurent Gatto, Lisa M. Breckels, Saleh Alseekh, Takayuki Tohge, Fayezeh Aarabi, Rainer Hoefgen, Rosa Viner and Claire M. Mulvey and has published in prestigious journals such as Nature Communications, Bioinformatics and The Plant Cell.

In The Last Decade

Thomas Naake

23 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Naake Germany 16 592 195 193 54 44 24 782
Yukiharu Fukushi Japan 20 458 0.8× 428 2.2× 157 0.8× 76 1.4× 22 0.5× 64 1.1k
Sean R. Johnson United States 14 535 0.9× 163 0.8× 59 0.3× 22 0.4× 42 1.0× 25 682
Maria Doppler Austria 11 316 0.5× 183 0.9× 63 0.3× 62 1.1× 49 1.1× 30 513
Thomas De Vijlder Belgium 13 431 0.7× 150 0.8× 199 1.0× 30 0.6× 89 2.0× 24 636
Volker Egelhofer Austria 17 668 1.1× 360 1.8× 260 1.3× 16 0.3× 36 0.8× 25 937
Karin Gorzolka Germany 14 446 0.8× 382 2.0× 280 1.5× 25 0.5× 40 0.9× 20 909
Hanna Bednarz Germany 17 284 0.5× 249 1.3× 153 0.8× 16 0.3× 45 1.0× 41 689
Katja Morgenthal Germany 11 831 1.4× 411 2.1× 109 0.6× 17 0.3× 58 1.3× 13 1.0k
Tiphaine Péresse France 7 279 0.5× 88 0.5× 64 0.3× 21 0.4× 25 0.6× 7 462
Michaël Méret Germany 13 353 0.6× 291 1.5× 40 0.2× 48 0.9× 28 0.6× 17 698

Countries citing papers authored by Thomas Naake

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Naake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Naake

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Naake. A scholar is included among the top collaborators of Thomas Naake 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 Thomas Naake. Thomas Naake 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.
Bittremieux, Wout, Thomas Naake, Carolin Huber, et al.. (2025). SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python. The Journal of Open Source Software. 10(109). 8070–8070.
2.
Naake, Thomas, John C. D’Auria, Alisdair R. Fernie, & Federico Scossa. (2024). Phylogenomic and synteny analysis of BAHD and SCP/SCPL gene families reveal their evolutionary histories in plant specialized metabolism. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1914). 20230349–20230349. 2 indexed citations
3.
Gegner, Hagen M., et al.. (2024). A single-sample workflow for joint metabolomic and proteomic analysis of clinical specimens. Clinical Proteomics. 21(1). 49–49. 5 indexed citations
4.
Naake, Thomas, Feng Zhu, Saleh Alseekh, et al.. (2023). Genome-wide association studies identify loci controlling specialized seed metabolites in Arabidopsis. PLANT PHYSIOLOGY. 194(3). 1705–1721. 4 indexed citations
5.
Naake, Thomas, Johannes Rainer, & Wolfgang Huber. (2023). MsQuality: an interoperable open-source package for the calculation of standardized quality metrics of mass spectrometry data. Bioinformatics. 39(10). 2 indexed citations
6.
Souza, Leonardo Perez de, Thomas Naake, & Alisdair R. Fernie. (2022). Computational approaches that aid annotation in metabolomics. Trends in Plant Science. 27(10). 1077–1078. 3 indexed citations
7.
Gegner, Hagen M., Thomas Naake, Aurélien Dugourd, et al.. (2022). Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysis. Frontiers in Molecular Biosciences. 9. 961448–961448. 18 indexed citations
8.
Frainay, Clément, Fabien Jourdan, Thomas Naake, et al.. (2022). Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation. Frontiers in Molecular Biosciences. 9. 841373–841373. 48 indexed citations
9.
Naake, Thomas & Wolfgang Huber. (2021). MatrixQCvis: shiny-based interactive data quality exploration for omics data. Bioinformatics. 38(4). 1181–1182. 4 indexed citations
10.
Zhu, Feng, Saleh Alseekh, Hao Tong, et al.. (2021). Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis. The Plant Cell. 34(1). 557–578. 40 indexed citations
11.
Watanabe, Mutsumi, et al.. (2021). Diversity of Chemical Structures and Biosynthesis of Polyphenols in Nut-Bearing Species. Frontiers in Plant Science. 12. 642581–642581. 30 indexed citations
12.
Naake, Thomas, Hiroshi Maéda, Sebastian Proost, Takayuki Tohge, & Alisdair R. Fernie. (2020). Kingdom-wide analysis of the evolution of the plant type III polyketide synthase superfamily. PLANT PHYSIOLOGY. 185(3). 857–875. 23 indexed citations
13.
Aarabi, Fayezeh, Thomas Naake, Alisdair R. Fernie, & Rainer Hoefgen. (2020). Coordinating Sulfur Pools under Sulfate Deprivation. Trends in Plant Science. 25(12). 1227–1239. 66 indexed citations
14.
Naake, Thomas, Emmanuel Gaquerel, & Alisdair R. Fernie. (2020). Annotation of Specialized Metabolites from High-Throughput and High-Resolution Mass Spectrometry Metabolomics. Methods in molecular biology. 2104. 209–225. 2 indexed citations
15.
Yan, Shijuan, Qing Liu, Thomas Naake, et al.. (2020). OsGF14b modulates defense signaling pathways in rice panicle blast response. The Crop Journal. 9(4). 725–738. 16 indexed citations
16.
Naake, Thomas, et al.. (2020). Plant Mitochondrial Carriers: Molecular Gatekeepers That Help to Regulate Plant Central Carbon Metabolism. Plants. 9(1). 117–117. 27 indexed citations
17.
Stanstrup, Jan, Corey D. Broeckling, Rick Helmus, et al.. (2019). The metaRbolomics Toolbox in Bioconductor and beyond. Metabolites. 9(10). 200–200. 60 indexed citations
18.
Naake, Thomas & Alisdair R. Fernie. (2018). MetNet: Metabolite Network Prediction from High-Resolution Mass Spectrometry Data in R Aiding Metabolite Annotation. Analytical Chemistry. 91(3). 1768–1772. 31 indexed citations
19.
Naake, Thomas & Emmanuel Gaquerel. (2017). MetCirc: navigating mass spectral similarity in high-resolution MS/MS metabolomics data. Bioinformatics. 33(15). 2419–2420. 21 indexed citations
20.
Christoforou, Andy, Claire M. Mulvey, Lisa M. Breckels, et al.. (2016). A draft map of the mouse pluripotent stem cell spatial proteome. Nature Communications. 7(1). 8992–8992. 157 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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