Thorsten W. Jaskolla

1.1k total citations
19 papers, 832 citations indexed

About

Thorsten W. Jaskolla is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Thorsten W. Jaskolla has authored 19 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Spectroscopy, 7 papers in Molecular Biology and 6 papers in Computational Mechanics. Recurrent topics in Thorsten W. Jaskolla's work include Mass Spectrometry Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Ion-surface interactions and analysis (6 papers). Thorsten W. Jaskolla is often cited by papers focused on Mass Spectrometry Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Ion-surface interactions and analysis (6 papers). Thorsten W. Jaskolla collaborates with scholars based in Germany, United Kingdom and Netherlands. Thorsten W. Jaskolla's co-authors include Michael Karas, Wolf‐Dieter Lehmann, Jens Soltwisch, Klaus Dreisewerd, Jürgen Schiller, Sebastian W. Fuchs, Beate Fuchs, Anna Proschak, Franz Hillenkamp and Helge B. Bode and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Thorsten W. Jaskolla

19 papers receiving 803 citations

Peers

Thorsten W. Jaskolla
John Hoyes United Kingdom
Thomas A. Blake United States
Lori Smith United States
Jennifer Gidden United States
Dalton T. Snyder United States
Boone M. Prentice United States
Jeremy A. Barry United States
Bindesh Shrestha United States
John Hoyes United Kingdom
Thorsten W. Jaskolla
Citations per year, relative to Thorsten W. Jaskolla Thorsten W. Jaskolla (= 1×) peers John Hoyes

Countries citing papers authored by Thorsten W. Jaskolla

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten W. Jaskolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thorsten W. Jaskolla. 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 Thorsten W. Jaskolla. The network helps show where Thorsten W. Jaskolla may publish in the future.

Co-authorship network of co-authors of Thorsten W. Jaskolla

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

All Works

19 of 19 papers shown
1.
Bendinskas, Kestutis, et al.. (2014). A Teaching Laboratory for Comprehensive Lipid Characterization from Food Samples. Journal of Chemical Education. 91(10). 1697–1701. 13 indexed citations
3.
Albalat, Amaya, Angélique Stalmach, Vasiliki Bitsika, et al.. (2013). Improving peptide relative quantification in MALDITOF MS for biomarker assessment. PROTEOMICS. 13(20). 2967–2975. 17 indexed citations
4.
Soltwisch, Jens, Thorsten W. Jaskolla, & Klaus Dreisewerd. (2013). Color Matters—Material Ejection and Ion Yields in UV-MALDI Mass Spectrometry as a Function of Laser Wavelength and Laser Fluence. Journal of the American Society for Mass Spectrometry. 24(10). 1477–1488. 28 indexed citations
5.
Cramer, Rainer, Michael Karas, & Thorsten W. Jaskolla. (2013). Enhanced MALDI MS Sensitivity by Weak Base Additives and Glycerol Sample Coating. Analytical Chemistry. 86(1). 744–751. 13 indexed citations
6.
Soltwisch, Jens, et al.. (2012). Matching the laser wavelength to the absorption properties of matrices increases the ion yield in UV-MALDI mass spectrometry. Analytical and Bioanalytical Chemistry. 405(22). 6925–6932. 30 indexed citations
7.
Soltwisch, Jens, Thorsten W. Jaskolla, Franz Hillenkamp, Michael Karas, & Klaus Dreisewerd. (2012). Ion Yields in UV-MALDI Mass Spectrometry As a Function of Excitation Laser Wavelength and Optical and Physico-Chemical Properties of Classical and Halogen-Substituted MALDI Matrixes. Analytical Chemistry. 84(15). 6567–6576. 67 indexed citations
8.
Winter, Dominic, Chien‐Wen Hung, Thorsten W. Jaskolla, Michael Karas, & Wolf D. Lehmann. (2012). Enzyme‐cleavable tandem peptides for quantitative studies in MS‐based proteomics. PROTEOMICS. 12(23-24). 3470–3474. 6 indexed citations
9.
Fuchs, Sebastian W., Anna Proschak, Thorsten W. Jaskolla, Michael Karas, & Helge B. Bode. (2011). Structure elucidation and biosynthesis of lysine-rich cyclic peptides in Xenorhabdus nematophila. Organic & Biomolecular Chemistry. 9(9). 3130–3130. 65 indexed citations
10.
Svara, Fabian, András Kiss, Thorsten W. Jaskolla, Michael Karas, & Ron M. A. Heeren. (2011). High-Reactivity Matrices Increase the Sensitivity of Matrix Enhanced Secondary Ion Mass Spectrometry. Analytical Chemistry. 83(21). 8308–8313. 36 indexed citations
11.
Jaskolla, Thorsten W. & Michael Karas. (2011). Compelling Evidence for Lucky Survivor and Gas Phase Protonation: The Unified MALDI Analyte Protonation Mechanism. Journal of the American Society for Mass Spectrometry. 22(6). 976–988. 145 indexed citations
12.
Fuchs, Sebastian W., Thorsten W. Jaskolla, Peter Kötter, et al.. (2011). Entianin, a Novel Subtilin-Like Lantibiotic from Bacillus subtilis subsp. spizizenii DSM 15029 T with High Antimicrobial Activity. Applied and Environmental Microbiology. 77(5). 1698–1707. 66 indexed citations
13.
Teuber, Kristin, Jürgen Schiller, Beate Fuchs, Michael Karas, & Thorsten W. Jaskolla. (2010). Significant sensitivity improvements by matrix optimization: a MALDI-TOF mass spectrometric study of lipids from hen egg yolk. Chemistry and Physics of Lipids. 163(6). 552–560. 45 indexed citations
14.
Papasotiriou, Dimitrios G., et al.. (2010). Peptide Mass Fingerprinting after Less Specific In-Gel Proteolysis Using MALDI-LTQ-Orbitrap and 4-Chloro-α-cyanocinnamic Acid. Journal of Proteome Research. 9(5). 2619–2629. 7 indexed citations
15.
Jaskolla, Thorsten W., Dimitrios G. Papasotiriou, & Michael Karas. (2009). Comparison between the Matrices α-Cyano-4-hydroxycinnamic Acid and 4-Chloro-α-cyanocinnamic Acid for Trypsin, Chymotrypsin, and Pepsin Digestions by MALDI-TOF Mass Spectrometry. Journal of Proteome Research. 8(7). 3588–3597. 24 indexed citations
16.
Jaskolla, Thorsten W., Beate Fuchs, Michael Karas, & Jürgen Schiller. (2009). The new matrix 4-Chloro-α-cyanocinnamic acid allows the detection of phosphatidylethanolamine chloramines by MALDI-TOF mass spectrometry. Journal of the American Society for Mass Spectrometry. 20(5). 867–874. 42 indexed citations
17.
Jaskolla, Thorsten W., et al.. (2009). Comparison between vacuum sublimed matrices and conventional dried droplet preparation in MALDI-TOF mass spectrometry. Journal of the American Society for Mass Spectrometry. 20(6). 1104–1114. 59 indexed citations
18.
Jaskolla, Thorsten W. & Michael Karas. (2008). Using fluorescence dyes as a tool for analyzing the MALDI process. Journal of the American Society for Mass Spectrometry. 19(8). 1054–1061. 14 indexed citations
19.
Jaskolla, Thorsten W., Wolf‐Dieter Lehmann, & Michael Karas. (2008). 4-Chloro-α-cyanocinnamic acid is an advanced, rationally designed MALDI matrix. Proceedings of the National Academy of Sciences. 105(34). 12200–12205. 130 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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