Marc Daukandt

607 total citations
11 papers, 223 citations indexed

About

Marc Daukandt is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Marc Daukandt has authored 11 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Marc Daukandt's work include Biofuel production and bioconversion (2 papers), Peptidase Inhibition and Analysis (2 papers) and Immune Cell Function and Interaction (2 papers). Marc Daukandt is often cited by papers focused on Biofuel production and bioconversion (2 papers), Peptidase Inhibition and Analysis (2 papers) and Immune Cell Function and Interaction (2 papers). Marc Daukandt collaborates with scholars based in Belgium, France and Hungary. Marc Daukandt's co-authors include Hongxing Niu, Patrick Fickers, Jürgen Müllberg, Thomas Jostock, Nadine Antoine, Ernst Heinen, Anita Wehnert, Mary Devlin, Marc Vanhove and Georges Hennen and has published in prestigious journals such as Endocrinology, Annals of the New York Academy of Sciences and Chemical Engineering Science.

In The Last Decade

Marc Daukandt

11 papers receiving 215 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 Daukandt Belgium 8 180 52 29 29 26 11 223
Joanne Compson United Kingdom 5 174 1.0× 116 2.2× 23 0.8× 56 1.9× 45 1.7× 6 244
Lisa B. Noble United States 6 131 0.7× 39 0.8× 13 0.4× 41 1.4× 47 1.8× 7 332
Ken Boakye United States 7 273 1.5× 58 1.1× 19 0.7× 47 1.6× 34 1.3× 8 339
Charlene Chan Singapore 6 265 1.5× 17 0.3× 41 1.4× 18 0.6× 27 1.0× 7 321
Yaa‐Jyuhn James Meir Taiwan 10 162 0.9× 67 1.3× 21 0.7× 37 1.3× 12 0.5× 27 280
Chih‐Chung Kuo United States 9 197 1.1× 40 0.8× 14 0.5× 19 0.7× 34 1.3× 11 239
Jinkun Liu China 9 135 0.8× 55 1.1× 15 0.5× 58 2.0× 37 1.4× 28 317
Robert Stull United States 9 297 1.6× 13 0.3× 11 0.4× 22 0.8× 16 0.6× 10 349
Gerald Wallweber United States 11 178 1.0× 29 0.6× 16 0.6× 93 3.2× 13 0.5× 14 298

Countries citing papers authored by Marc Daukandt

Since Specialization
Citations

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

Fields of papers citing papers by Marc Daukandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Daukandt

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

All Works

11 of 11 papers shown
1.
Geenen, Vincent, Hela Jaïdane, Chantal Renard, et al.. (2019). The presentation of neuroendocrine self‐peptides in the thymus: an essential event for individual life and vertebrate survival. Annals of the New York Academy of Sciences. 1455(1). 113–125. 9 indexed citations
2.
Reschner, Anca, Gaëlle Vandermeulen, Marc Daukandt, et al.. (2013). Use of Staby®technology for development and production of DNA vaccines free of antibiotic resistance gene. Human Vaccines & Immunotherapeutics. 9(10). 2203–2210. 6 indexed citations
3.
Niu, Hongxing, et al.. (2013). A quantitative study of methanol/sorbitol co-feeding process of a Pichia pastoris Mut+/pAOX1-lacZ strain. Microbial Cell Factories. 12(1). 33–33. 51 indexed citations
4.
Niu, Hongxing, et al.. (2012). Dynamic modeling of methylotrophic Pichia pastoris culture with exhaust gas analysis: From cellular metabolism to process simulation. Chemical Engineering Science. 87. 381–392. 14 indexed citations
5.
Jostock, Thomas, Marc Vanhove, Marc Daukandt, et al.. (2004). Rapid generation of functional human IgG antibodies derived from Fab-on-phage display libraries. Journal of Immunological Methods. 289(1-2). 65–80. 59 indexed citations
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Hennuy, Benoît, Anne Cornet, Marc Daukandt, et al.. (1999). A Novel Gene Overexpressed in the Prostate of Castrated Rats: Hormonal Regulation, Relationship to Apoptosis and to Acquired Prostatic Cell Androgen Independence1. Endocrinology. 140(10). 4789–4799. 21 indexed citations
9.
Belotti, Dorina, Nathalie Clausse, Domenico Flagiello, et al.. (1998). Expression and modulation of homeobox genes from cluster B in endothelial cells.. PubMed. 78(10). 1291–9. 22 indexed citations
10.
Antoine, Nadine, et al.. (1996). The Potent Angioinhibin AGM-1470 Stimulates Normal but not Human Tumoral Lymphocytes. Tumori Journal. 82(1). 27–30. 5 indexed citations
11.
Antoine, Nadine, Marc Daukandt, Ernst Heinen, Léopold Simar, & V Castronovo. (1996). In vitro and in vivo stimulation of the murine immune system by AGM-1470, a potent angiogenesis inhibitor.. PubMed. 148(2). 393–8. 16 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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