Stuart Pengelley

696 total citations
11 papers, 315 citations indexed

About

Stuart Pengelley is a scholar working on Spectroscopy, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Stuart Pengelley has authored 11 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Spectroscopy, 6 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Stuart Pengelley's work include Mass Spectrometry Techniques and Applications (7 papers), Advanced Proteomics Techniques and Applications (5 papers) and Glycosylation and Glycoproteins Research (2 papers). Stuart Pengelley is often cited by papers focused on Mass Spectrometry Techniques and Applications (7 papers), Advanced Proteomics Techniques and Applications (5 papers) and Glycosylation and Glycoproteins Research (2 papers). Stuart Pengelley collaborates with scholars based in Germany, Netherlands and France. Stuart Pengelley's co-authors include Silke Hauf, André Koch, Karsten Krug, Boris Maček, Manfred Wuhrer, Daniel Varón Silva, Hannes Hinneburg, Detlev Suckau, Kathrin Stavenhagen and Wolfgang Jabs and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and Electrophoresis.

In The Last Decade

Stuart Pengelley

11 papers receiving 312 citations

Peers

Stuart Pengelley
Courtenay Kemper United States
Zainab Ahdash United Kingdom
Daniel Geiszler United States
Sau-Mei Leung United States
Stuart Pengelley
Citations per year, relative to Stuart Pengelley Stuart Pengelley (= 1×) peers Sz‐Wei Wu

Countries citing papers authored by Stuart Pengelley

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Pengelley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart Pengelley

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

All Works

11 of 11 papers shown
1.
Liu, Fanny C., et al.. (2024). Differential glycosylation does not modulate the conformational heterogeneity of a humanised IgGk NIST monoclonal antibody. Chemical Communications. 60(77). 10740–10743. 3 indexed citations
2.
Schuster, Dina, Stuart Pengelley, Markus Lubeck, et al.. (2024). Protein-Centric Analysis of Personalized Antibody Repertoires Using LC-MS-Based Fab-Profiling on a timsTOF. Journal of the American Society for Mass Spectrometry. 35(6). 1292–1300. 1 indexed citations
3.
4.
Wessels, Hans J. C. T., Purva Kulkarni, Maurice van Dael, et al.. (2023). Plasma glycoproteomics delivers high-specificity disease biomarkers by detecting site-specific glycosylation abnormalities. Journal of Advanced Research. 61. 179–192. 12 indexed citations
5.
Suckau, Detlev, Eckhard Belau, Stuart Pengelley, et al.. (2021). Use of PASEF for Accelerated Protein Sequence Confirmation and De Novo Sequencing with High Data Quality. Methods in molecular biology. 2313. 207–217. 4 indexed citations
6.
Gstöttner, Christoph, Tao Zhang, Anja Resemann, et al.. (2021). Structural and Functional Characterization of SARS-CoV-2 RBD Domains Produced in Mammalian Cells. Analytical Chemistry. 93(17). 6839–6847. 42 indexed citations
7.
Pengelley, Stuart, et al.. (2020). Avoiding H/D Scrambling with Minimal Ion Transmission Loss for HDX-MS/MS-ETD Analysis on a High-Resolution Q-TOF Mass Spectrometer. Analytical Chemistry. 92(11). 7453–7461. 25 indexed citations
8.
Schmitz, Thomas, Stuart Pengelley, Eckhard Belau, Detlev Suckau, & Diana Imhof. (2020). LC-Trapped Ion Mobility Spectrometry-TOF MS Differentiation of 2- and 3-Disulfide-Bonded Isomers of the μ-Conotoxin PIIIA. Analytical Chemistry. 92(16). 10920–10924. 8 indexed citations
9.
Hinneburg, Hannes, Kathrin Stavenhagen, U. Schweiger-Hufnagel, et al.. (2016). The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics. Journal of the American Society for Mass Spectrometry. 27(3). 507–519. 99 indexed citations
10.
Koch, André, Karsten Krug, Stuart Pengelley, Boris Maček, & Silke Hauf. (2011). Mitotic Substrates of the Kinase Aurora with Roles in Chromatin Regulation Identified Through Quantitative Phosphoproteomics of Fission Yeast. Science Signaling. 4(179). rs6–rs6. 101 indexed citations
11.
Pengelley, Stuart, David A. Chapman, W. Mark Abbott, et al.. (2006). A suite of parallel vectors for baculovirus expression. Protein Expression and Purification. 48(2). 173–181. 16 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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