Riaan den Haan

2.6k total citations
55 papers, 1.8k citations indexed

About

Riaan den Haan is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Riaan den Haan has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 46 papers in Biomedical Engineering and 15 papers in Biotechnology. Recurrent topics in Riaan den Haan's work include Biofuel production and bioconversion (46 papers), Microbial Metabolic Engineering and Bioproduction (33 papers) and Fungal and yeast genetics research (28 papers). Riaan den Haan is often cited by papers focused on Biofuel production and bioconversion (46 papers), Microbial Metabolic Engineering and Bioproduction (33 papers) and Fungal and yeast genetics research (28 papers). Riaan den Haan collaborates with scholars based in South Africa, China and Japan. Riaan den Haan's co-authors include Willem H. van Zyl, Lee R. Lynd, Shaunita H. Rose, John E. McBride, Daniël C. la Grange, Johann F. Görgens, Heinrich Kroukamp, Eugéne van Rensburg, Tomohisa Hasunuma and Kentaro Inokuma and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Applied Energy.

In The Last Decade

Riaan den Haan

53 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riaan den Haan South Africa 25 1.5k 1.5k 481 144 101 55 1.8k
Xiaoming Bao China 28 1.7k 1.1× 1.8k 1.2× 407 0.8× 276 1.9× 87 0.9× 61 2.2k
Sutipa Tanapongpipat Thailand 22 825 0.5× 1.1k 0.7× 522 1.1× 270 1.9× 80 0.8× 71 1.6k
Lorraine P. Yomano United States 31 2.0k 1.3× 2.6k 1.7× 364 0.8× 140 1.0× 108 1.1× 45 3.0k
Z. Lewis Liu United States 24 2.0k 1.3× 2.1k 1.4× 306 0.6× 218 1.5× 417 4.1× 49 2.5k
Steven Ward Gorsich United States 11 1.1k 0.7× 1.5k 1.0× 175 0.4× 204 1.4× 151 1.5× 15 1.8k
Jari Vehmaanperä Finland 22 1.4k 0.9× 1.3k 0.8× 874 1.8× 298 2.1× 47 0.5× 33 1.9k
Kaisa Karhumaa Sweden 16 1.9k 1.2× 2.0k 1.3× 184 0.4× 200 1.4× 166 1.6× 17 2.2k
Sean W. York United States 24 2.1k 1.4× 2.1k 1.4× 361 0.8× 115 0.8× 108 1.1× 32 2.6k
Ewelina Celińska Poland 20 930 0.6× 1.6k 1.1× 150 0.3× 56 0.4× 161 1.6× 53 1.9k
Shaunita H. Rose South Africa 21 1.1k 0.7× 839 0.5× 523 1.1× 178 1.2× 98 1.0× 38 1.3k

Countries citing papers authored by Riaan den Haan

Since Specialization
Citations

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

Fields of papers citing papers by Riaan den Haan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riaan den Haan. 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 Riaan den Haan. The network helps show where Riaan den Haan may publish in the future.

Co-authorship network of co-authors of Riaan den Haan

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

All Works

20 of 20 papers shown
1.
2.
Haan, Riaan den, et al.. (2025). Advancing cellulose utilization and engineering consolidated bioprocessing yeasts: current state and perspectives. Applied Microbiology and Biotechnology. 109(1). 43–43. 3 indexed citations
3.
Haan, Riaan den, et al.. (2025). Recent progress on the bioconversion of lignocellulose to fuels and chemicals. 3 Biotech. 15(12). 443–443.
4.
Pieterse, E., et al.. (2024). Enhancing black soldier fly larval production from sugarcane bagasse through hydrothermal, enzymatic, and microbial treatment. Journal of Insects as Food and Feed. 11(5). 937–951. 3 indexed citations
5.
Haan, Riaan den, et al.. (2023). Engineering natural isolates of Saccharomyces cerevisiae for consolidated bioprocessing of cellulosic feedstocks. Applied Microbiology and Biotechnology. 107(22). 7013–7028. 10 indexed citations
6.
Haan, Riaan den, et al.. (2022). CRISPR-Based Multi-Gene Integration Strategies to Create Saccharomyces cerevisiae Strains for Consolidated Bioprocessing. Applied Sciences. 12(23). 12317–12317. 6 indexed citations
7.
Inokuma, Kentaro, et al.. (2022). Improvement of cell-tethered cellulase activity in recombinant strains of Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 106(18). 6347–6361. 11 indexed citations
8.
9.
Haan, Riaan den, et al.. (2020). Exploiting strain diversity and rational engineering strategies to enhance recombinant cellulase secretion by Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 104(12). 5163–5184. 13 indexed citations
10.
Inokuma, Kentaro, et al.. (2019). Novel strategy for anchorage position control of GPI-attached proteins in the yeast cell wall using different GPI-anchoring domains. Metabolic Engineering. 57. 110–117. 31 indexed citations
11.
Haan, Riaan den. (2018). Adapting the yeast consolidated bioprocessing paradigm for biorefineries. Biofuel Research Journal. 5(3). 827–828. 2 indexed citations
12.
Verma, Preeti, et al.. (2018). Effect of N-linked glycosylation on the activity and stability of a β-glucosidase from Putranjiva roxburghii. International Journal of Biological Macromolecules. 112. 490–498. 19 indexed citations
13.
Liu, Zhuo, Shih‐Hsin Ho, Kengo Sasaki, et al.. (2016). Engineering of a novel cellulose-adherent cellulolytic Saccharomyces cerevisiae for cellulosic biofuel production. Scientific Reports. 6(1). 24550–24550. 54 indexed citations
14.
Haan, Riaan den, et al.. (2015). Lignocellulosic hydrolysate inhibitors selectively inhibit/deactivate cellulase performance. Enzyme and Microbial Technology. 81. 16–22. 58 indexed citations
15.
Haan, Riaan den, Eugéne van Rensburg, Shaunita H. Rose, Johann F. Görgens, & Willem H. van Zyl. (2014). Progress and challenges in the engineering of non-cellulolytic microorganisms for consolidated bioprocessing. Current Opinion in Biotechnology. 33. 32–38. 110 indexed citations
16.
Haan, Riaan den, et al.. (2013). Engineering Saccharomyces cerevisiae for next generation ethanol production. Journal of Chemical Technology & Biotechnology. 88(6). 983–991. 43 indexed citations
17.
Haan, Riaan den, et al.. (2012). Cellobiohydrolase secretion by yeast: Current state and prospects for improvement. Process Biochemistry. 48(1). 1–12. 45 indexed citations
18.
Haan, Riaan den, et al.. (2011). Expression of human papillomavirus type 16 (HPV16) L1 protein in Pichia pastoris. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(2). 214–219. 5 indexed citations
19.
Zyl, Willem H. van, Annie Chimphango, Riaan den Haan, Johann F. Görgens, & Paxie W. Chirwa. (2011). Next-generation cellulosic ethanol technologies and their contribution to a sustainable Africa. Interface Focus. 1(2). 196–211. 37 indexed citations
20.
Haan, Riaan den & Willem H. van Zyl. (2001). Differential expression of the Trichoderma reesei β-xylanase II ( xyn2 ) gene in the xylose-fermenting yeast Pichia stipitis. Applied Microbiology and Biotechnology. 57(4). 521–527. 20 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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