Norbert Stoppacher

1.0k total citations
17 papers, 674 citations indexed

About

Norbert Stoppacher is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Norbert Stoppacher has authored 17 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Plant Science. Recurrent topics in Norbert Stoppacher's work include Microbial Natural Products and Biosynthesis (4 papers), Fungal Biology and Applications (3 papers) and Machine Learning in Bioinformatics (2 papers). Norbert Stoppacher is often cited by papers focused on Microbial Natural Products and Biosynthesis (4 papers), Fungal Biology and Applications (3 papers) and Machine Learning in Bioinformatics (2 papers). Norbert Stoppacher collaborates with scholars based in Austria, France and Germany. Norbert Stoppacher's co-authors include Rainer Schuhmacher, Susanne Zeilinger, Rudolf Krska, Bernhard Kluger, Nora K. N. Neumann, Hans Brückner, Thomas Degenkolb, Barbara Reithner, Marion E. Pucher and Kurt Brunner and has published in prestigious journals such as TrAC Trends in Analytical Chemistry, Analytical and Bioanalytical Chemistry and Journal of Microbiological Methods.

In The Last Decade

Norbert Stoppacher

17 papers receiving 667 citations

Peers

Norbert Stoppacher

PHARM

Pavel A. Nazarov Russia

Prakash Masurekar United States

Marie‐Louise Milat France

Dana Gášková Czechia

John L. Sorensen Canada

Stephan Hüttel Germany

Vladimír Mikeš Czechia

William Manson United Kingdom

Masafumi Tokuoka Japan

J.C. Kader France

Pavel A. Nazarov Russia

Norbert Stoppacher

187 ×0.6

349 ×1.2

57 ×0.3

PHARM

60 ×0.4

26 ×0.3

Citations per year, relative to Norbert Stoppacher Norbert Stoppacher (= 1×) peers Pavel A. Nazarov

Countries citing papers authored by Norbert Stoppacher

Since Specialization

Citations

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

Fields of papers citing papers by Norbert Stoppacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Stoppacher

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

All Works

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17 of 17 papers shown

Westwood, Steven, Taichi Yamazaki, Ting Huang, et al.. (2019). Development and validation of a suite of standards for the purity assignment of organic compounds by quantitative NMR spectroscopy. Metrologia. 56(6). 64001–64001. 22 indexed citations

Josephs, R D, Norbert Stoppacher, Guillaume Cazals, et al.. (2017). Impurity determination for hepcidin by liquid chromatography-high resolution and ion mobility mass spectrometry for the value assignment of candidate primary calibrators. Analytical and Bioanalytical Chemistry. 409(10). 2559–2567. 15 indexed citations

Josephs, R D, Norbert Stoppacher, Steven Westwood, et al.. (2017). Concept paper on SI value assignment of purity - Model for the classification of peptide/protein purity determinations. NPARC. 11(1). 1–8. 12 indexed citations

Josephs, R D, Norbert Stoppacher, Adeline Daireaux, et al.. (2017). State-of-the-art and trends for the SI traceable value assignment of the purity of peptides using the model compound angiotensin I. TrAC Trends in Analytical Chemistry. 101. 108–119. 20 indexed citations

Neumann, Nora K. N., Norbert Stoppacher, Susanne Zeilinger, et al.. (2015). The Peptaibiotics Database – A Comprehensive Online Resource. Chemistry & Biodiversity. 12(5). 743–751. 55 indexed citations

Stoppacher, Norbert, R D Josephs, Adeline Daireaux, et al.. (2015). Accurate quantification of impurities in pure peptide material – angiotensin I: Comparison of calibration requirements and method performance characteristics of liquid chromatography coupled to hybrid tandem mass spectrometry and linear ion trap high‐resolution mass spectrometry. Rapid Communications in Mass Spectrometry. 29(18). 1651–1660. 20 indexed citations

Stoppacher, Norbert, R D Josephs, Adeline Daireaux, et al.. (2013). Impurity identification and determination for the peptide hormone angiotensin I by liquid chromatography–high-resolution tandem mass spectrometry and the metrological impact on value assignments by amino acid analysis. Analytical and Bioanalytical Chemistry. 405(25). 8039–8051. 16 indexed citations

Stoppacher, Norbert, Nora K. N. Neumann, Susanne Zeilinger, et al.. (2013). The Comprehensive Peptaibiotics Database. Chemistry & Biodiversity. 10(5). 734–743. 66 indexed citations

Ansari, Parisa, Norbert Stoppacher, & Sabine Baumgartner. (2011). Marker peptide selection for the determination of hazelnut by LC–MS/MS and occurrence in other nuts. Analytical and Bioanalytical Chemistry. 402(8). 2607–2615. 23 indexed citations

10.

Reyes-Domínguez, Yazmid, Michael Sulyok, Gerlinde Wiesenberger, et al.. (2011). Heterochromatin influences the secondary metabolite profile in the plant pathogen Fusarium graminearum. Fungal Genetics and Biology. 49(1). 39–47. 60 indexed citations

11.

Stoppacher, Norbert, Bernhard Kluger, Susanne Zeilinger, Rudolf Krska, & Rainer Schuhmacher. (2010). Identification and profiling of volatile metabolites of the biocontrol fungus Trichoderma atroviride by HS-SPME-GC-MS. Journal of Microbiological Methods. 81(2). 187–193. 195 indexed citations

12.

Ansari, Parisa, et al.. (2010). Selection of possible marker peptides for the detection of major ruminant milk proteins in food by liquid chromatography-tandem mass spectrometry. Analytical and Bioanalytical Chemistry. 399(3). 1105–1115. 39 indexed citations

13.

Omann, Markus, Sylvia Lehner, Marizela Delic, et al.. (2009). A cAMP receptor-like GPCR is involved in Trichoderma atroviride mycoparasitism.. 43. 105–108. 3 indexed citations

14.

Stoppacher, Norbert, Fritz Pittner, & Gerhard Sontag. (2009). Design of a voltammetric immunosensor for determination of 1-nitropyrene. Monatshefte für Chemie - Chemical Monthly. 140(8). 909–914. 1 indexed citations

15.

Stoppacher, Norbert, Susanne Zeilinger, Markus Omann, et al.. (2008). Characterisation of the peptaibiome of the biocontrol fungus Trichoderma atroviride by liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 22(12). 1889–1898. 16 indexed citations

16.

Stoppacher, Norbert, Barbara Reithner, Markus Omann, et al.. (2007). Profiling of trichorzianines in culture samples of Trichoderma atroviride by liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 21(24). 3963–3970. 18 indexed citations

17.

Reithner, Barbara, Rainer Schuhmacher, Norbert Stoppacher, et al.. (2007). Signaling via the Trichoderma atroviride mitogen-activated protein kinase Tmk1 differentially affects mycoparasitism and plant protection. Fungal Genetics and Biology. 44(11). 1123–1133. 93 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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