Karl Burgess

4.2k total citations
76 papers, 3.0k citations indexed

About

Karl Burgess is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Karl Burgess has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 16 papers in Spectroscopy and 13 papers in Epidemiology. Recurrent topics in Karl Burgess's work include Metabolomics and Mass Spectrometry Studies (30 papers), Analytical Chemistry and Chromatography (11 papers) and Trypanosoma species research and implications (10 papers). Karl Burgess is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (30 papers), Analytical Chemistry and Chromatography (11 papers) and Trypanosoma species research and implications (10 papers). Karl Burgess collaborates with scholars based in United Kingdom, United States and Australia. Karl Burgess's co-authors include Michael P. Barrett, Darren J. Creek, Rainer Breitling, Andris Jankevics, Justin J. J. van der Hooft, Simon Rogers, Joe Wandy, Matthew J. Dalby, Richard Burchmore and David G. Watson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Karl Burgess

74 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl Burgess United Kingdom	32	1.7k	572	484	449	342	76	3.0k
Petr Halada Czechia	34	2.4k 1.5×	344 0.6×	241 0.5×	404 0.9×	482 1.4×	177	4.2k
Gilberto B. Domont Brazil	36	1.6k 1.0×	204 0.4×	282 0.6×	224 0.5×	341 1.0×	173	3.7k
Weidong Zhou United States	35	3.1k 1.9×	266 0.5×	377 0.8×	263 0.6×	173 0.5×	126	4.8k
Shane C. Burgess United States	36	1.4k 0.9×	192 0.3×	277 0.6×	685 1.5×	282 0.8×	113	3.7k
Gerrit J. Gerwig Netherlands	37	2.1k 1.3×	312 0.5×	218 0.5×	438 1.0×	100 0.3×	98	4.6k
Johannes P.C. Vissers United Kingdom	27	2.4k 1.4×	422 0.7×	1.7k 3.4×	257 0.6×	116 0.3×	63	4.0k
Walter Weiss Germany	29	2.5k 1.5×	338 0.6×	1.7k 3.5×	210 0.5×	271 0.8×	53	4.7k
Kristin Burnum-Johnson United States	34	2.2k 1.3×	507 0.9×	1.5k 3.1×	152 0.3×	146 0.4×	85	3.7k
Markus Kalkum United States	35	2.9k 1.7×	146 0.3×	442 0.9×	310 0.7×	99 0.3×	75	4.4k
Bernd Thiede Norway	43	3.7k 2.2×	214 0.4×	1.2k 2.4×	552 1.2×	238 0.7×	167	5.6k

Countries citing papers authored by Karl Burgess

Since Specialization

Citations

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

Fields of papers citing papers by Karl Burgess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Burgess

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oyarzún, Diego A., et al.. (2024). Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry. Computational and Structural Biotechnology Journal. 23. 1226–1233. 6 indexed citations

Tsimbouri, Penelope M., Vineetha Jayawarna, Karl Burgess, et al.. (2024). Nanotopography Influences Host–Pathogen Quorum Sensing and Facilitates Selection of Bioactive Metabolites in Mesenchymal Stromal Cells and Pseudomonas aeruginosa Co-Cultures. ACS Applied Materials & Interfaces. 16(33). 43374–43386. 2 indexed citations

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

Pičmanová, Martina, et al.. (2022). Rapid HILIC-Z ion mobility mass spectrometry (RHIMMS) method for untargeted metabolomics of complex biological samples. Metabolomics. 18(3). 16–16. 14 indexed citations

Moses, Tessa, et al.. (2022). On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process. Biotechnology and Bioengineering. 119(10). 2757–2769. 9 indexed citations

McLuskey, Karen, Joe Wandy, Isabel M. Vincent, et al.. (2021). Ranking Metabolite Sets by Their Activity Levels. Metabolites. 11(2). 103–103. 16 indexed citations

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

Goriainov, Vitali, Janos M. Kanczler, Cameron Black, et al.. (2020). Nanopatterned Titanium Implants Accelerate Bone Formation In Vivo. ACS Applied Materials & Interfaces. 12(30). 33541–33549. 36 indexed citations

Osakunor, Derick Nii Mensah, Takafira Mduluza, Douglas Osei‐Hyiaman, et al.. (2020). Schistosoma haematobium infection is associated with alterations in energy and purine-related metabolism in preschool-aged children. PLoS neglected tropical diseases. 14(12). e0008866–e0008866. 12 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.

Hooft, Justin J. J. van der, Robert Goldstone, Susan R. Harris, Karl Burgess, & David G. Smith. (2019). Substantial Extracellular Metabolic Differences Found Between Phylogenetically Closely Related Probiotic and Pathogenic Strains of Escherichia coli. Frontiers in Microbiology. 10. 252–252. 19 indexed citations

12.

Buckley, James J., Rónán Daly, Christina A. Cobbold, Karl Burgess, & Barbara K. Mable. (2019). Changing environments and genetic variation: natural variation in inbreeding does not compromise short-term physiological responses. Proceedings of the Royal Society B Biological Sciences. 286(1915). 20192109–20192109. 9 indexed citations

13.

Ramage, Gordon, Nikolaj Gadegaard, Simon Rogers, et al.. (2018). Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts. Scientific Reports. 8(1). 10944–10944. 2 indexed citations

14.

Daly, Rónán, et al.. (2018). MetaboCraft: building a Minecraft plugin for metabolomics. Bioinformatics. 34(15). 2693–2694. 2 indexed citations

15.

Alakpa, Enateri V., Karl Burgess, Peter Chung, et al.. (2017). Nacre Topography Produces Higher Crystallinity in Bone than Chemically Induced Osteogenesis. ACS Nano. 11(7). 6717–6727. 42 indexed citations

16.

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

17.

Burgess, Karl, et al.. (2016). Recent advances in liquid and gas chromatography methodology for extending coverage of the metabolome. Current Opinion in Biotechnology. 43. 77–85. 59 indexed citations

18.

Thomas, Funmilola Clara, Manikhandan Mudaliar, Riccardo Tassi, et al.. (2016). Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 3. Untargeted metabolomics. Molecular BioSystems. 12(9). 2762–2769. 36 indexed citations

19.

Tsimbouri, Penelope M., Nikolaj Gadegaard, Karl Burgess, et al.. (2013). Nanotopographical Effects on Mesenchymal Stem Cell Morphology and Phenotype. Journal of Cellular Biochemistry. 115(2). 380–390. 96 indexed citations

20.

McNamara, Laura E., Terje Sjöström, R.M. Dominic Meek, et al.. (2012). Metabolomics: a valuable tool for stem cell monitoring in regenerative medicine. Journal of The Royal Society Interface. 9(73). 1713–1724. 21 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.

Explore authors with similar magnitude of impact