Mats Åkesson

2.3k total citations
20 papers, 1.7k citations indexed

About

Mats Åkesson is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Mats Åkesson has authored 20 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, 6 papers in Control and Systems Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Mats Åkesson's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Advanced Control Systems Optimization (5 papers) and Biofuel production and bioconversion (5 papers). Mats Åkesson is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Advanced Control Systems Optimization (5 papers) and Biofuel production and bioconversion (5 papers). Mats Åkesson collaborates with scholars based in Denmark, Sweden and Germany. Mats Åkesson's co-authors include Jens Nielsen, Silas G. Villas‐Bôas, Jørn Smedsgaard, Jochen Förster, Kiran Raosaheb Patil, Thomas Grotkjær, Joel F. Moxley, Gregory Stephanopoulos, Birgitte Regenberg and Søren Brunak and has published in prestigious journals such as Analytical Biochemistry, Biochemical Journal and Genome biology.

In The Last Decade

Mats Åkesson

18 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mats Åkesson Denmark	12	1.5k	396	320	155	135	20	1.7k
Wouter A. van Winden Netherlands	26	2.1k 1.4×	573 1.4×	323 1.0×	140 0.9×	118 0.9×	37	2.4k
Angela ten Pierick Netherlands	16	1.2k 0.8×	273 0.7×	243 0.8×	125 0.8×	96 0.7×	27	1.4k
J. L. Vinke Netherlands	16	1.3k 0.9×	269 0.7×	256 0.8×	79 0.5×	108 0.8×	18	1.4k
Kenneth M. Dombek United States	26	1.8k 1.2×	536 1.4×	280 0.9×	315 2.0×	233 1.7×	37	2.1k
André B. Canelas Netherlands	13	1.1k 0.7×	224 0.6×	208 0.7×	106 0.7×	70 0.5×	18	1.3k
Karin Overkamp Netherlands	18	1.4k 1.0×	572 1.4×	102 0.3×	160 1.0×	157 1.2×	21	1.7k
Léonie M. Raamsdonk Netherlands	8	935 0.6×	191 0.5×	128 0.4×	50 0.3×	151 1.1×	11	1.1k
Clara Ibáñez Spain	23	827 0.6×	276 0.7×	292 0.9×	236 1.5×	162 1.2×	42	1.3k
Joel F. Moxley United States	6	1.4k 1.0×	547 1.4×	102 0.3×	105 0.7×	66 0.5×	7	1.5k

Countries citing papers authored by Mats Åkesson

Since Specialization

Citations

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

Fields of papers citing papers by Mats Åkesson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Åkesson

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Åkesson. A scholar is included among the top collaborators of Mats Åkesson 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 Mats Åkesson. Mats Åkesson 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

Rosén, Anna, et al.. (2007). Discovery of Selective Small-Molecule CD80 Inhibitors. SLAS DISCOVERY. 12(4). 464–472. 20 indexed citations

Villas‐Bôas, Silas G., et al.. (2006). A comparison of direct infusion MS and GC‐MS for metabolic footprinting of yeast mutants. Biotechnology and Bioengineering. 96(5). 1014–1022. 35 indexed citations

Regenberg, Birgitte, Thomas Grotkjær, Ole Winther, et al.. (2006). Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae. Genome biology. 7(11). R107–R107. 197 indexed citations

Villas‐Bôas, Silas G., et al.. (2005). Global metabolite analysis of yeast: evaluation of sample preparation methods. Yeast. 22(14). 1155–1169. 311 indexed citations

Villas‐Bôas, Silas G., Joel F. Moxley, Mats Åkesson, Gregory Stephanopoulos, & Jens Nielsen. (2005). High-throughput metabolic state analysis: the missing link in integrated functional genomics of yeasts. Biochemical Journal. 388(2). 669–677. 114 indexed citations

Roca, Christophe, et al.. (2005). CreA influences the metabolic fluxes of Aspergillus nidulans during growth on glucose and xylose. Microbiology. 151(7). 2209–2221. 36 indexed citations

Villas‐Bôas, Silas G., et al.. (2004). Mass spectrometry in metabolome analysis. Mass Spectrometry Reviews. 24(5). 613–646. 420 indexed citations

Åkesson, Mats, Jochen Förster, & Jens Nielsen. (2004). Integration of gene expression data into genome-scale metabolic models. Metabolic Engineering. 6(4). 285–293. 158 indexed citations

Grotkjær, Thomas, Mats Åkesson, Bjarke Bak Christensen, Andreas Gombert, & Jens Nielsen. (2004). Impact of transamination reactions and protein turnover on labeling dynamics in ¹³C‐labeling experiments. Biotechnology and Bioengineering. 86(2). 209–216. 33 indexed citations

10.

Åkesson, Mats, et al.. (2003). Reconstruction of the central carbon metabolism of Aspergillus niger. European Journal of Biochemistry. 270(21). 4243–4253. 68 indexed citations

11.

Patil, Kiran Raosaheb, Mats Åkesson, & Jens Nielsen. (2003). Use of genome-scale microbial models for metabolic engineering. Current Opinion in Biotechnology. 15(1). 64–69. 123 indexed citations

12.

Villas‐Bôas, Silas G., et al.. (2003). Simultaneous analysis of amino and nonamino organic acids as methyl chloroformate derivatives using gas chromatography–mass spectrometry. Analytical Biochemistry. 322(1). 134–138. 160 indexed citations

13.

Åkesson, Mats & Per Hagander. (1999). A Gain-Scheduling Approach for Control of Dissolved Oxygen in Stirred Bioreactors. IFAC Proceedings Volumes. 32(2). 7608–7613. 10 indexed citations

14.

Karlsson, Eva Nordberg, et al.. (1999). Fed-batch cultivation of Escherichia coli – strategies applied for production of thermostable enzymes. Lund University Publications (Lund University).

15.

Åkesson, Mats & Per Hagander. (1998). Control of Dissolved Oxygen in Stirred Bioreactors. Lund University Publications (Lund University). 7571. 5 indexed citations

16.

Åkesson, Mats. (1997). Integrated Control and Fault Detection for a Mechanical Servo Process. IFAC Proceedings Volumes. 30(18). 1243–1248. 3 indexed citations

17.

Åkesson, Mats. (1996). Integrated Control and Diagnostics Using Robust Control Methods. Lund University Publications (Lund University). 1 indexed citations

18.

Åkesson, Mats, et al.. (1996). Control Design for a Helicopter Lab Process. IFAC Proceedings Volumes. 29(1). 2934–2939. 7 indexed citations

19.

Chéruy, A., et al.. (1995). Process Control: Performance Analysis of an Original Approach Taking into Account the Positivity Constraints on the Process Variables. Lund University Publications (Lund University). 2 indexed citations

20.

Åkesson, Mats, Måns Magnusson, & Rolf Johansson. (1987). Identification of Human Posture Dynamics. 5 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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