Stefan Weidt

1.1k total citations
24 papers, 773 citations indexed

About

Stefan Weidt is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Stefan Weidt has authored 24 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Spectroscopy and 4 papers in Epidemiology. Recurrent topics in Stefan Weidt's work include Metabolomics and Mass Spectrometry Studies (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Analytical Chemistry and Chromatography (4 papers). Stefan Weidt is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Analytical Chemistry and Chromatography (4 papers). Stefan Weidt collaborates with scholars based in United Kingdom, Croatia and Vietnam. Stefan Weidt's co-authors include C. Logan Mackay, Perdita E. Barran, James W. Dear, David J. Webb, Jonathan M. Street, Timothy Walsh, Craig Balmforth, Karl Burgess, Vinny Davies and Simon Rogers and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Scientific Reports.

In The Last Decade

Stefan Weidt

24 papers receiving 759 citations

Peers

Stefan Weidt

SPECT

PHEOH

Júlio C. Padovan United States

Jatin Nandania Finland

Anil K. Madugundu India

Petra Erdmann-Gilmore United States

Jonathan L. Robinson United States

Benjamin C. Orsburn United States

Jeremy Carver United States

Cérina Chhuon France

Ching-Yun Chang United States

Timothy Clough United States

Júlio C. Padovan United States

Stefan Weidt

614 ×1.1

66 ×0.3

119 ×1.1

SPECT

60 ×0.7

PHEOH

27 ×0.5

Citations per year, relative to Stefan Weidt Stefan Weidt (= 1×) peers Júlio C. Padovan

Countries citing papers authored by Stefan Weidt

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Weidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Weidt

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

All Works

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20 of 20 papers shown

Weidt, Stefan, et al.. (2023). On‐line targeted metabolomics for real‐time monitoring of relevant compounds in fermentation processes. Biotechnology and Bioengineering. 121(2). 683–695. 3 indexed citations

Wandy, Joe, Stefan Weidt, Simon Rogers, et al.. (2023). TopNEXt: automatic DDA exclusion framework for multi-sample mass spectrometry experiments. Bioinformatics. 39(7). 2 indexed citations

Huang, Yixin, N.N. Jonsson, Marκ McLaughlin, et al.. (2023). Quantitative TMT-based proteomics revealing host, dietary and microbial proteins in bovine faeces including barley serpin Z4, a prominent component in the head of beer. Journal of Proteomics. 285. 104941–104941. 3 indexed citations

Wandy, Joe, Simon Rogers, Stefan Weidt, et al.. (2023). Simulated-to-real benchmarking of acquisition methods in untargeted metabolomics. Frontiers in Molecular Biosciences. 10. 1130781–1130781. 6 indexed citations

Agazzi, A., Suzanne McGill, Stefan Weidt, et al.. (2022). Proteomic changes associated with maternal dietary low ω6:ω3 ratio in piglets supplemented with seaweed. Part I: Serum proteomes. Journal of Proteomics. 270. 104740–104740. 1 indexed citations

Agazzi, A., Suzanne McGill, Stefan Weidt, et al.. (2022). Abundance of plasma proteins in response to divergent ratios of dietary ω6:ω3 fatty acids in gestating and lactating sows using a quantitative proteomics approach. Journal of Proteomics. 260. 104562–104562. 4 indexed citations

Agazzi, A., Suzanne McGill, Stefan Weidt, et al.. (2022). Proteomic changes associated with maternal dietary low ω6:ω3 ratio in piglets supplemented with seaweed Part II: Ileum proteomes. Journal of Proteomics. 270. 104739–104739. 1 indexed citations

Burchmore, Richard, Stefan Weidt, Clément Regnault, et al.. (2022). Multi Platforms Strategies and Metabolomics Approaches for the Investigation of Comprehensive Metabolite Profile in Dogs with Babesia canis Infection. International Journal of Molecular Sciences. 23(3). 1575–1575. 8 indexed citations

Wandy, Joe, et al.. (2022). ViMMS 2.0: A framework to develop, test and optimisefragmentation strategies in LC-MS metabolomics. The Journal of Open Source Software. 7(71). 3990–3990. 3 indexed citations

10.

Vieites, David R., Arne Jacobs, Stefan Weidt, et al.. (2020). Functional colour genes and signals of selection in colour‐polymorphic salamanders. Molecular Ecology. 29(7). 1284–1299. 19 indexed citations

11.

Weidt, Stefan, Marκ McLaughlin, Daniel J. Wescott, et al.. (2020). Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death. OMICS A Journal of Integrative Biology. 24(11). 649–659. 41 indexed citations

12.

Wandy, Joe, Vinny Davies, Justin J. J. van der Hooft, et al.. (2019). In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics. Metabolites. 9(10). 219–219. 18 indexed citations

13.

Rankin, Naomi, Karl Burgess, Stefan Weidt, et al.. (2019). High-throughput quantification of carboxymethyl lysine in serum and plasma using high-resolution accurate mass Orbitrap mass spectrometry. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 56(3). 397–407. 6 indexed citations

14.

Kovářová, Julie, Andrew W. Pountain, David Wildridge, et al.. (2018). Deletion of transketolase triggers a stringent metabolic response in promastigotes and loss of virulence in amastigotes of Leishmania mexicana. PLoS Pathogens. 14(3). e1006953–e1006953. 14 indexed citations

15.

Weidt, Stefan, Ryan Kean, Cristian Cojocariu, et al.. (2016). A novel targeted/untargeted GC-Orbitrap metabolomics methodology applied to Candida albicans and Staphylococcus aureus biofilms. Metabolomics. 12(12). 189–189. 38 indexed citations

16.

Meek, Stephen, Alison J. Thomson, Linda Sutherland, et al.. (2016). Reduced levels of dopamine and altered metabolism in brains of HPRT knock-out rats: a new rodent model of Lesch-Nyhan Disease. Scientific Reports. 6(1). 25592–25592. 20 indexed citations

17.

Porrini, Massimiliano, Ryan J. Morris, Tom Smith, et al.. (2015). Early stages of insulin fibrillogenesis examined with ion mobility mass spectrometry and molecular modelling. The Analyst. 140(20). 7000–7011. 18 indexed citations

18.

Vincent, Isabel M., Stefan Weidt, Luís Rivas, et al.. (2013). Untargeted metabolomic analysis of miltefosine action in Leishmania infantum reveals changes to the internal lipid metabolism. International Journal for Parasitology Drugs and Drug Resistance. 4(1). 20–27. 53 indexed citations

19.

Street, Jonathan M., Perdita E. Barran, C. Logan Mackay, et al.. (2012). Identification and proteomic profiling of exosomes in human cerebrospinal fluid. Journal of Translational Medicine. 10(1). 5–5. 387 indexed citations

20.

Stokes, Adam A., David J. Clarke, Stefan Weidt, Pat R. R. Langridge‐Smith, & C. Logan Mackay. (2009). Top-down protein sequencing by CID and ECD using desorption electrospray ionisation (DESI) and high-field FTICR mass spectrometry. International Journal of Mass Spectrometry. 289(1). 54–57. 14 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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