Hendrik Treutler

750 total citations
11 papers, 388 citations indexed

About

Hendrik Treutler is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hendrik Treutler has authored 11 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hendrik Treutler's work include Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Chromatin Dynamics (3 papers). Hendrik Treutler is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Chromatin Dynamics (3 papers). Hendrik Treutler collaborates with scholars based in Germany, Australia and Netherlands. Hendrik Treutler's co-authors include Steffen Neumann, Eva Grafahrend‐Belau, Anja Hartmann, Tobias Czauderna, Falk Schreiber, Astrid Junker, Matthias Klapperstück, Christian Klukas, Ivo Große and Gerd Ulrich Balcke and has published in prestigious journals such as Analytical Chemistry, International Journal of Molecular Sciences and BMC Bioinformatics.

In The Last Decade

Hendrik Treutler

11 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hendrik Treutler Germany	9	282	76	66	43	34	11	388
Xuechun Zhao United States	7	230 0.8×	106 1.4×	75 1.1×	52 1.2×	16 0.5×	13	351
Nir Shahaf Israel	10	354 1.3×	172 2.3×	74 1.1×	35 0.8×	14 0.4×	13	567
Venkata Chandrasekhar Nainala United Kingdom	4	507 1.8×	58 0.8×	108 1.6×	66 1.5×	10 0.3×	4	662
Kalai Vanii Jayaseelan United Kingdom	5	460 1.6×	52 0.7×	101 1.5×	48 1.1×	11 0.3×	8	614
Bjoern Gruening Germany	11	324 1.1×	31 0.4×	75 1.1×	49 1.1×	18 0.5×	12	479
David Wildridge United Kingdom	8	318 1.1×	31 0.4×	92 1.4×	26 0.6×	16 0.5×	8	466
Noriko Shindo Japan	14	251 0.9×	47 0.6×	101 1.5×	29 0.7×	13 0.4×	25	490
Pierre Péricard France	4	295 1.0×	24 0.3×	63 1.0×	37 0.9×	6 0.2×	4	392
Carsten Baessmann Germany	12	381 1.4×	54 0.7×	272 4.1×	73 1.7×	7 0.2×	18	649
Stephanie Kaspar Germany	9	452 1.6×	223 2.9×	286 4.3×	32 0.7×	21 0.6×	11	705

Countries citing papers authored by Hendrik Treutler

Since Specialization

Citations

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

Fields of papers citing papers by Hendrik Treutler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hendrik Treutler

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

All Works

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11 of 11 papers shown

Peters, Kristian, et al.. (2021). Untargeted In Silico Compound Classification—A Novel Metabolomics Method to Assess the Chemodiversity in Bryophytes. International Journal of Molecular Sciences. 22(6). 3251–3251. 9 indexed citations

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

Peters, Kristian, Hendrik Treutler, Stefanie Döll, et al.. (2019). Chemical Diversity and Classification of Secondary Metabolites in Nine Bryophyte Species. Metabolites. 9(10). 222–222. 31 indexed citations

Treutler, Hendrik, et al.. (2019). Effects of Water Availability in the Soil on Tropane Alkaloid Production in Cultivated Datura stramonium. Metabolites. 9(7). 131–131. 13 indexed citations

Treutler, Hendrik, et al.. (2017). Combining phylogenetic footprinting with motif models incorporating intra-motif dependencies. BMC Bioinformatics. 18(1). 141–141. 1 indexed citations

Meier, René, Christoph Ruttkies, Hendrik Treutler, & Steffen Neumann. (2017). Bioinformatics can boost metabolomics research. Journal of Biotechnology. 261. 137–141. 27 indexed citations

Treutler, Hendrik, et al.. (2016). Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species information. BMC Genomics. 17(1). 347–347. 3 indexed citations

Treutler, Hendrik, Hiroshi Tsugawa, Andrea Porzel, et al.. (2016). Discovering Regulated Metabolite Families in Untargeted Metabolomics Studies. Analytical Chemistry. 88(16). 8082–8090. 54 indexed citations

Treutler, Hendrik & Steffen Neumann. (2016). Prediction, Detection, and Validation of Isotope Clusters in Mass Spectrometry Data. Metabolites. 6(4). 37–37. 14 indexed citations

10.

Treutler, Hendrik, et al.. (2015). DiffLogo: a comparative visualization of sequence motifs. BMC Bioinformatics. 16(1). 387–387. 54 indexed citations

11.

Junker, Astrid, Anja Hartmann, Eva Grafahrend‐Belau, et al.. (2012). VANTED v2: a framework for systems biology applications. BMC Systems Biology. 6(1). 139–139. 122 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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