Nikolas Kessler

2.0k total citations
9 papers, 290 citations indexed

About

Nikolas Kessler is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Nikolas Kessler has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Organic Chemistry. Recurrent topics in Nikolas Kessler's work include Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (2 papers) and Edible Oils Quality and Analysis (2 papers). Nikolas Kessler is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (2 papers) and Edible Oils Quality and Analysis (2 papers). Nikolas Kessler collaborates with scholars based in Germany, Spain and United States. Nikolas Kessler's co-authors include Karsten Niehaus, Heiko Neuweger, Alexander Goesmann, Tim W. Nattkemper, Lucía Olmo‐García, Alberto Fernández‐Gutiérrez, Alegría Carrasco‐Pancorbo, Carsten Baessmann, Georg Langenkämper and Anja Bonte and has published in prestigious journals such as Bioinformatics, PLoS ONE and Molecules.

In The Last Decade

Nikolas Kessler

9 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolas Kessler Germany 9 176 70 59 56 53 9 290
Anja Bonte Germany 11 143 0.8× 56 0.8× 77 1.3× 83 1.5× 35 0.7× 18 297
Ya Xie China 12 279 1.6× 61 0.9× 58 1.0× 71 1.3× 48 0.9× 16 475
Marijana Ačanski Serbia 10 78 0.4× 54 0.8× 32 0.5× 41 0.7× 31 0.6× 44 270
Panagiota‐Kyriaki Revelou Greece 12 118 0.7× 83 1.2× 80 1.4× 33 0.6× 105 2.0× 31 361
Alexia Agiomyrgianaki Greece 8 138 0.8× 93 1.3× 30 0.5× 92 1.6× 159 3.0× 9 352
Sylvie S. Chevolleau France 9 48 0.3× 85 1.2× 38 0.6× 84 1.5× 31 0.6× 13 271
Tito Damiani Italy 9 100 0.6× 36 0.5× 35 0.6× 64 1.1× 20 0.4× 12 212
Hefeng Pan Sweden 8 215 1.2× 39 0.6× 113 1.9× 22 0.4× 39 0.7× 10 349
Christine Schippa France 10 76 0.4× 159 2.3× 91 1.5× 60 1.1× 36 0.7× 18 333
Reto Battaglia Switzerland 9 114 0.6× 108 1.5× 96 1.6× 66 1.2× 31 0.6× 14 345

Countries citing papers authored by Nikolas Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Kessler

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

All Works

9 of 9 papers shown
1.
Kessler, Nikolas, et al.. (2021). Untargeted metabotyping to study phenylpropanoid diversity in crop plants. Physiologia Plantarum. 173(3). 680–697. 11 indexed citations
2.
Thompson, Christopher J., Matthias Witt, Sara Forcisi, et al.. (2020). An Enhanced Isotopic Fine Structure Method for Exact Mass Analysis in Discovery Metabolomics: FIA-CASI-FTMS. Journal of the American Society for Mass Spectrometry. 31(10). 2025–2034. 12 indexed citations
3.
Olmo‐García, Lucía, Nikolas Kessler, Aadil Bajoub, et al.. (2019). Exploring the Capability of LC‐MS and GC‐MS Multi‐Class Methods to Discriminate Virgin Olive Oils from Different Geographical Indications and to Identify Potential Origin Markers. European Journal of Lipid Science and Technology. 121(3). 34 indexed citations
4.
5.
Kessler, Nikolas, Anja Bonte, Stefan P. Albaum, et al.. (2015). Learning to Classify Organic and Conventional Wheat – A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform. Frontiers in Bioengineering and Biotechnology. 3. 35–35. 21 indexed citations
6.
Kessler, Nikolas, Marcus Persicke, Stefan P. Albaum, et al.. (2014). ALLocator: An Interactive Web Platform for the Analysis of Metabolomic LC-ESI-MS Datasets, Enabling Semi-Automated, User-Revised Compound Annotation and Mass Isotopomer Ratio Analysis. PLoS ONE. 9(11). e113909–e113909. 24 indexed citations
7.
Kessler, Nikolas, Heiko Neuweger, Anja Bonte, et al.. (2013). MeltDB 2.0–advances of the metabolomics software system. Bioinformatics. 29(19). 2452–2459. 61 indexed citations
8.
Gorzolka, Karin, et al.. (2012). Metabolite fingerprinting of barley whole seeds, endosperms, and embryos during industrial malting. Journal of Biotechnology. 159(3). 177–187. 42 indexed citations
9.
Persicke, Marcus, Christian Rückert, Jens Plassmeier, et al.. (2011). MSEA: metabolite set enrichment analysis in the MeltDB metabolomics software platform: metabolic profiling of Corynebacterium glutamicum as an example. Metabolomics. 8(2). 310–322. 23 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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