Marc d′Anjou

1.4k total citations
17 papers, 1.1k citations indexed

About

Marc d′Anjou is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Ecology. According to data from OpenAlex, Marc d′Anjou has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Ecology. Recurrent topics in Marc d′Anjou's work include Viral Infectious Diseases and Gene Expression in Insects (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Protein purification and stability (6 papers). Marc d′Anjou is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Protein purification and stability (6 papers). Marc d′Anjou collaborates with scholars based in United States, Canada and Poland. Marc d′Anjou's co-authors include Andrew J. Daugulis, Huijuan Li, Thomas I. Potgieter, Muralidhar Mallem, Terrance A. Stadheim, Fei Xiong, Qingsong Lin, Daniel S.C. Yang, Zhengjun Li and Choy L. Hew and has published in prestigious journals such as Applied Microbiology and Biotechnology, Current Opinion in Biotechnology and Biotechnology and Bioengineering.

In The Last Decade

Marc d′Anjou

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc d′Anjou United States 16 870 254 229 168 82 17 1.1k
C. Theo Verrips Netherlands 19 654 0.8× 199 0.8× 152 0.7× 137 0.8× 54 0.7× 33 970
Marie‐Bernard Lascombe France 14 495 0.6× 254 1.0× 160 0.7× 115 0.7× 54 0.7× 20 864
Raquel Montesino Cuba 16 440 0.5× 92 0.4× 186 0.8× 139 0.8× 65 0.8× 44 786
Stefan Wildt United States 14 1.4k 1.6× 357 1.4× 420 1.8× 184 1.1× 119 1.5× 16 1.6k
Barbara Maertens Germany 12 774 0.9× 180 0.7× 80 0.3× 79 0.5× 123 1.5× 19 1.0k
Wouter Vervecken Belgium 13 685 0.8× 152 0.6× 226 1.0× 117 0.7× 33 0.4× 19 886
Annelies Van Hecke Belgium 14 913 1.0× 141 0.6× 116 0.5× 154 0.9× 78 1.0× 28 1.4k
Ekaterina Mirgorodskaya Denmark 13 795 0.9× 140 0.6× 216 0.9× 103 0.6× 69 0.8× 18 1.1k
Jianying Shi United States 11 811 0.9× 78 0.3× 171 0.7× 137 0.8× 73 0.9× 14 1.1k
Deb K. Chatterjee United States 13 910 1.0× 186 0.7× 94 0.4× 66 0.4× 209 2.5× 23 1.1k

Countries citing papers authored by Marc d′Anjou

Since Specialization
Citations

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

Fields of papers citing papers by Marc d′Anjou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc d′Anjou. 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 Marc d′Anjou. The network helps show where Marc d′Anjou may publish in the future.

Co-authorship network of co-authors of Marc d′Anjou

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

All Works

17 of 17 papers shown
1.
Shestopalov, Ilya, et al.. (2023). Drug product attributes predict clinical efficacy in betibeglogene autotemcel gene therapy for β-thalassemia. Molecular Therapy — Methods & Clinical Development. 31. 101155–101155. 2 indexed citations
2.
Mallem, Muralidhar, Fang Li, Adam Nylen, et al.. (2014). Maximizing recombinant human serum albumin production in a MutsPichia pastoris strain. Biotechnology Progress. 30(6). 1488–1496. 28 indexed citations
3.
d′Anjou, Marc, Christine Evans, Elizabeth R. Gibson, et al.. (2014). Real-time monitoring of glycerol and methanol to enhance antibody production in industrial Pichia pastoris bioprocesses. Biochemical Engineering Journal. 94. 115–124. 22 indexed citations
4.
Boldogh, István, Cecilia Svensson, Liza A. Pon, et al.. (2013). Regulation of alcohol oxidase 1 (AOX1) promoter and peroxisome biogenesis in different fermentation processes in Pichia pastoris. Journal of Biotechnology. 166(4). 174–181. 26 indexed citations
5.
Choi, Byung‐Kwon, Heping Lin, István Boldogh, et al.. (2012). Improvement of N-glycan site occupancy of therapeutic glycoproteins produced in Pichia pastoris. Applied Microbiology and Biotechnology. 95(3). 671–682. 77 indexed citations
6.
d′Anjou, Marc, et al.. (2011). Improved production of monoclonal antibodies through oxygen-limited cultivation of glycoengineered yeast. Journal of Biotechnology. 155(2). 217–224. 30 indexed citations
7.
Ye, Jianxin, Amy Hsu, Bianka Prinz, et al.. (2011). Optimization of a glycoengineered Pichia pastoris cultivation process for commercial antibody production. Biotechnology Progress. 27(6). 1744–1750. 50 indexed citations
8.
Potgieter, Thomas I., et al.. (2010). Antibody expression kinetics in glycoengineered Pichia pastoris. Biotechnology and Bioengineering. 106(6). 918–927. 50 indexed citations
9.
Jiang, Youwei, Fang Li, Dongxing Zha, et al.. (2010). Purification process development of a recombinant monoclonal antibody expressed in glycoengineered Pichia pastoris. Protein Expression and Purification. 76(1). 7–14. 23 indexed citations
10.
Li, Huijuan & Marc d′Anjou. (2009). Pharmacological significance of glycosylation in therapeutic proteins. Current Opinion in Biotechnology. 20(6). 678–684. 169 indexed citations
11.
Choi, Byung‐Kwon, Jeffrey K. Actor, Sandra Rios, et al.. (2008). Recombinant human lactoferrin expressed in glycoengineered Pichia pastoris: effect of terminal N-acetylneuraminic acid on in vitro secondary humoral immune response. Glycoconjugate Journal. 25(6). 581–593. 61 indexed citations
12.
Potgieter, Thomas I., Michael Cukan, J. E. Drummond, et al.. (2008). Production of monoclonal antibodies by glycoengineered Pichia pastoris. Journal of Biotechnology. 139(4). 318–325. 116 indexed citations
13.
Tyshenko, Michael G., Marc d′Anjou, Peter L. Davies, Andrew J. Daugulis, & Virginia K. Walker. (2005). Challenges in the expression of disulfide bonded, threonine-rich antifreeze proteins in bacteria and yeast. Protein Expression and Purification. 47(1). 152–161. 18 indexed citations
14.
Li, Zhengjun, Fei Xiong, Qingsong Lin, et al.. (2001). Low-Temperature Increases the Yield of Biologically Active Herring Antifreeze Protein in Pichia pastoris. Protein Expression and Purification. 21(3). 438–445. 166 indexed citations
15.
d′Anjou, Marc & Andrew J. Daugulis. (2000). A rational approach to improving productivity in recombinantPichia pastoris fermentation. Biotechnology and Bioengineering. 72(1). 1–11. 110 indexed citations
16.
d′Anjou, Marc & Andrew J. Daugulis. (2000). Mixed-feed exponential feeding for fed-batch culture of recombinant methylotrophic yeast. Biotechnology Letters. 22(5). 341–346. 62 indexed citations
17.
d′Anjou, Marc, et al.. (1999). Sorbitol as a non-repressing carbon source for fed-batch fermentation of recombinant Pichia pastoris. Biotechnology Letters. 21(8). 669–672. 61 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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