Sef Heijnen

844 total citations
11 papers, 666 citations indexed

About

Sef Heijnen is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Sef Heijnen has authored 11 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Control and Systems Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Sef Heijnen's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Fungal and yeast genetics research (3 papers) and Process Optimization and Integration (3 papers). Sef Heijnen is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Fungal and yeast genetics research (3 papers) and Process Optimization and Integration (3 papers). Sef Heijnen collaborates with scholars based in Netherlands, Switzerland and Germany. Sef Heijnen's co-authors include Peter A. Vanrolleghem, Jack T. Pronk, Cristiano Nicolella, Johannes P. van Dijken, Johannes Frank, Gijs W. K. van Dedem, H. C. Lange, Jan C. van Dam, Peter J.T. Verheijen and Matthias Reuß and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Trends in biotechnology and Analytica Chimica Acta.

In The Last Decade

Sef Heijnen

11 papers receiving 628 citations

Peers

Sef Heijnen

MB

BE

POLLU

SPECT

WST

Andrus Seiman Estonia

Victor H. Edwards United States

Takuo Yano Japan

Charles L. Meyer United States

M. Sobotka Czechia

Guido Greco Italy

MF Chaplin United Kingdom

B. Romein Netherlands

Jianlin Xu United States

A. W. Bunch United Kingdom

Andrus Seiman Estonia

Sef Heijnen

262 ×0.6

MB

177 ×0.9

BE

164 ×1.4

POLLU

54 ×0.9

SPECT

41 ×0.8

WST

Citations per year, relative to Sef Heijnen Sef Heijnen (= 1×) peers Andrus Seiman

Countries citing papers authored by Sef Heijnen

Since Specialization

Citations

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

Fields of papers citing papers by Sef Heijnen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sef Heijnen

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

All Works

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11 of 11 papers shown

1.

Seifar, Reza M., et al.. (2016). Accurate Measurement of the in vivo Ammonium Concentration in Saccharomyces cerevisiae. Metabolites. 6(2). 12–12. 7 indexed citations

2.

Heijnen, Sef & Peter J.T. Verheijen. (2011). How to Obtain True and Accurate Rate-Values. Methods in enzymology on CD-ROM/Methods in enzymology. 500. 457–508. 3 indexed citations

3.

Dam, Jan C. van, et al.. (2002). Analysis of glycolytic intermediates in Saccharomyces cerevisiae using anion exchange chromatography and electrospray ionization with tandem mass spectrometric detection. Analytica Chimica Acta. 460(2). 209–218. 149 indexed citations

4.

Verheijen, Peter J.T., et al.. (2001). Possible Pitfalls of Flux Calculations Based on 13C-Labeling. Metabolic Engineering. 3(2). 151–162. 58 indexed citations

5.

Visser, Diana, et al.. (2000). Tendency Modeling: A New Approach to Obtain Simplified Kinetic Models of Metabolism Applied to Saccharomyces cerevisiae. Metabolic Engineering. 2(3). 252–275. 45 indexed citations

6.

Nicolella, Cristiano, et al.. (2000). Particle-based biofilm reactor technology. Trends in biotechnology. 18(7). 312–320. 118 indexed citations

7.

Vanrolleghem, Peter A., Patricia de Jong-Gubbels, Walter van Gulik, et al.. (1996). Validation of a Metabolic Network for Saccharomyces cerevisiae Using Mixed Substrate Studies. Biotechnology Progress. 12(4). 434–448. 56 indexed citations

8.

Kuenen, J. Gijs, et al.. (1995). Model‐Based Optimization of Equipment and Control for Heat Flux Measurements in a Laboratory Fermentor. Biotechnology Progress. 11(5). 525–532. 7 indexed citations

9.

Vanrolleghem, Peter A., et al.. (1995). Regulation of carbon metabolism in chemostat cultures of Saccharomyces cerevisiae grown on mixtures of glucose and ethanol. Yeast. 11(5). 407–418. 131 indexed citations

10.

Heijnen, Sef. (1994). Thermodynamics of microbial growth and its implications for process design. Trends in biotechnology. 12(12). 483–492. 40 indexed citations

11.

Heijnen, Sef, et al.. (1990). Large‐scale anaerobic/aerobic treatment of complex industrial wastewater using immobilized biomass in fluidized bed and air‐lift suspension reactors. Chemical Engineering & Technology. 13(1). 202–208. 52 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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