Karl Burgess

2.2k total citations · 1 hit paper
23 papers, 1.7k citations indexed

About

Karl Burgess is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Karl Burgess has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Biomedical Engineering and 5 papers in Cell Biology. Recurrent topics in Karl Burgess's work include 3D Printing in Biomedical Research (7 papers), Bone Tissue Engineering Materials (6 papers) and Cellular Mechanics and Interactions (5 papers). Karl Burgess is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Bone Tissue Engineering Materials (6 papers) and Cellular Mechanics and Interactions (5 papers). Karl Burgess collaborates with scholars based in United Kingdom, United States and South Africa. Karl Burgess's co-authors include Matthew J. Dalby, Nikolaj Gadegaard, Laura E. McNamara, Richard O. C. Oreffo, Penelope M. Tsimbouri, Rebecca J. McMurray, Emmajayne Kingham, Rahul S. Tare, Enateri V. Alakpa and Jingli Yang and has published in prestigious journals such as Nature Communications, Nature Materials and ACS Nano.

In The Last Decade

Karl Burgess

23 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanoscale surfaces for the long-term maintenance of mesenchymal stem cell phenotype and multipotency

2011 625 citations Rebecca J. McMurray, Nikolaj Gadegaard et al. Nature Materials profile →

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	16	898	493	446	349	222	23	1.7k
Pascal Tomakidi Germany	27	522 0.6×	733 1.5×	480 1.1×	233 0.7×	203 0.9×	107	2.4k
Paula Sampaio Portugal	28	440 0.5×	1.4k 2.7×	1.0k 2.3×	397 1.1×	238 1.1×	63	2.8k
Stephanie Möller Germany	28	597 0.7×	458 0.9×	615 1.4×	511 1.5×	289 1.3×	68	1.9k
Oommen P. Varghese Sweden	29	736 0.8×	621 1.3×	337 0.8×	621 1.8×	203 0.9×	57	2.0k
Vera Hintze Germany	34	834 0.9×	786 1.6×	940 2.1×	825 2.4×	382 1.7×	74	2.7k
Bo Yu China	30	1.3k 1.5×	923 1.9×	89 0.2×	660 1.9×	292 1.3×	81	2.9k
Kayla Duval United States	9	1.1k 1.2×	505 1.0×	182 0.4×	399 1.1×	239 1.1×	16	1.9k
Samy Gobaa Switzerland	17	799 0.9×	446 0.9×	238 0.5×	136 0.4×	243 1.1×	31	1.3k
Xiaoling Jia China	22	497 0.6×	483 1.0×	133 0.3×	752 2.2×	510 2.3×	42	1.6k

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

1.

Buxadera‐Palomero, Judit, Matthew J. Dalby, Karl Burgess, et al.. (2024). Gallium and silver-doped titanium surfaces provide enhanced osteogenesis, reduce bone resorption and prevent bacterial infection in co-culture. Acta Biomaterialia. 180. 154–170. 12 indexed citations

2.

Ross, Ewan A., Lesley-Anne Turner, Hannah Donnelly, et al.. (2023). Nanotopography reveals metabolites that maintain the immunomodulatory phenotype of mesenchymal stromal cells. Nature Communications. 14(1). 753–753. 24 indexed citations

3.

Delaney, Christopher, Bryn Short, Ranjith Rajendran, et al.. (2023). An integrated transcriptomic and metabolomic approach to investigate the heterogeneous Candida albicans biofilm phenotype. Biofilm. 5. 100112–100112. 6 indexed citations

4.

Moses, Tessa, et al.. (2023). Metabolic insights into phosphofructokinase inhibition in bloodstream-form trypanosomes. Frontiers in Cellular and Infection Microbiology. 13. 1129791–1129791. 1 indexed citations

5.

Nephali, Lerato, Paul A. Steenkamp, Karl Burgess, et al.. (2022). Mass Spectral Molecular Networking to Profile the Metabolome of Biostimulant Bacillus Strains. Frontiers in Plant Science. 13. 920963–920963. 16 indexed citations

6.

Hodgkinson, Tom, Penelope M. Tsimbouri, Virginia Llopis-Hernández, et al.. (2021). The use of nanovibration to discover specific and potent bioactive metabolites that stimulate osteogenic differentiation in mesenchymal stem cells. Science Advances. 7(9). 31 indexed citations

7.

Nephali, Lerato, Lizelle A. Piater, Paul A. Steenkamp, et al.. (2021). A Metabolomic Landscape of Maize Plants Treated With a Microbial Biostimulant Under Well-Watered and Drought Conditions. Frontiers in Plant Science. 12. 676632–676632. 56 indexed citations

8.

Burgess, Karl & Naomi Rankin. (2021). Metabolomics for the diagnosis of influenza. EBioMedicine. 72. 103599–103599. 2 indexed citations

9.

Hodgkinson, Tom, Virginia Llopis-Hernández, Paul Campsie, et al.. (2020). Nanovibrational mesenchymal stem cell stimulation allows detection of highly osteo-specific bioactive metabolites that can be modified for enhanced potency. 1 indexed citations

10.

Tsimbouri, Penelope M., Peter Childs, Jingli Yang, et al.. (2017). Stimulation of 3D osteogenesis by mesenchymal stem cells using a nanovibrational bioreactor. Nature Biomedical Engineering. 1(9). 758–770. 87 indexed citations

11.

Alakpa, Enateri V., Vineetha Jayawarna, Ayala Lampel, et al.. (2016). Tunable Supramolecular Hydrogels for Selection of Lineage-Guiding Metabolites in Stem Cell Cultures. Chem. 1(2). 298–319. 178 indexed citations

12.

Gadegaard, Nikolaj, María C. de Andrés, Lesley-Anne Turner, et al.. (2016). Nanotopography controls cell cycle changes involved with skeletal stem cell self-renewal and multipotency. Biomaterials. 116. 10–20. 48 indexed citations

13.

Sahoo, Jugal Kishore, Laura E. McNamara, Karl Burgess, et al.. (2016). Dynamic Surfaces for the Study of Mesenchymal Stem Cell Growth through Adhesion Regulation. ACS Nano. 10(7). 6667–6679. 86 indexed citations

14.

Rajendran, Ranjith, Leighann Sherry, Ryan Kean, et al.. (2016). Integrating Candida albicans metabolism with biofilm heterogeneity by transcriptome mapping. Scientific Reports. 6(1). 35436–35436. 38 indexed citations

15.

Alakpa, Enateri V., Vineetha Jayawarna, Ayala Lampel, et al.. (2016). Tunable Supramolecular Hydrogels for Selection of Lineage-Guiding Metabolites in Stem Cell Cultures. Chem. 1(3). 512–512. 9 indexed citations

16.

Weidt, Stefan K., Dhilia Udie Lamasudin, Christina Naula, et al.. (2016). Integration of proteomics and metabolomics to elucidate metabolic adaptation in Leishmania. Journal of Proteomics. 155. 85–98. 26 indexed citations

17.

McNamara, Laura E., Lesley-Anne Turner, & Karl Burgess. (2015). Systems Biology Approaches Applied to Regenerative Medicine. Current Pathobiology Reports. 3(1). 37–45. 5 indexed citations

18.

Tsimbouri, Penelope M., Rebecca J. McMurray, Karl Burgess, et al.. (2012). Using Nanotopography and Metabolomics to Identify Biochemical Effectors of Multipotency. ACS Nano. 6(11). 10239–10249. 99 indexed citations

19.

Leader, David P., Karl Burgess, Darren J. Creek, & Michael P. Barrett. (2011). Pathos: A web facility that uses metabolic maps to display experimental changes in metabolites identified by mass spectrometry. Rapid Communications in Mass Spectrometry. 25(22). 3422–3426. 42 indexed citations

20.

McMurray, Rebecca J., Nikolaj Gadegaard, Penelope M. Tsimbouri, et al.. (2011). Nanoscale surfaces for the long-term maintenance of mesenchymal stem cell phenotype and multipotency. Nature Materials. 10(8). 637–644. 625 indexed citations breakdown →

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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