Gino Baart

1.2k total citations
17 papers, 945 citations indexed

About

Gino Baart is a scholar working on Molecular Biology, Genetics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Gino Baart has authored 17 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Gino Baart's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Bacterial Genetics and Biotechnology (4 papers) and Algal biology and biofuel production (4 papers). Gino Baart is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Bacterial Genetics and Biotechnology (4 papers) and Algal biology and biofuel production (4 papers). Gino Baart collaborates with scholars based in Netherlands, Belgium and France. Gino Baart's co-authors include Michele Fabris, Alain Goossens, Dirk E. Martens, Wim Vyverman, Stéphane Rombauts, Michiel Matthijs, Luc De Cooman, Koen Goiris, Koenraad Muylaert and Bart Noten and has published in prestigious journals such as The Journal of Immunology, New Phytologist and The Plant Journal.

In The Last Decade

Gino Baart

17 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gino Baart Netherlands	14	628	224	95	79	79	17	945
Seiko Shigeta Japan	23	671 1.1×	189 0.8×	101 1.1×	54 0.7×	185 2.3×	80	1.6k
Robert Larocque France	20	658 1.0×	72 0.3×	36 0.4×	120 1.5×	82 1.0×	29	978
G. G. PRITCHARD New Zealand	23	1.1k 1.8×	66 0.3×	58 0.6×	52 0.7×	133 1.7×	46	1.7k
Shinya Kodani Japan	20	972 1.5×	67 0.3×	16 0.2×	138 1.7×	202 2.6×	73	1.5k
Ze’ev Barak Israel	28	1.3k 2.1×	60 0.3×	103 1.1×	168 2.1×	265 3.4×	69	2.0k
Katherine Duncan United Kingdom	19	676 1.1×	40 0.2×	27 0.3×	188 2.4×	100 1.3×	34	1.0k
Ronald Garcia Germany	21	731 1.2×	29 0.1×	119 1.3×	281 3.6×	121 1.5×	51	1.2k
Marı́a C. Mansilla Argentina	21	1.0k 1.6×	48 0.2×	60 0.6×	251 3.2×	136 1.7×	33	1.4k
Danielle L. Swem United States	12	1.1k 1.7×	94 0.4×	56 0.6×	264 3.3×	162 2.1×	13	1.3k
Xue Bai China	19	498 0.8×	71 0.3×	33 0.3×	52 0.7×	203 2.6×	60	924

Countries citing papers authored by Gino Baart

Since Specialization

Citations

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

Fields of papers citing papers by Gino Baart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Baart

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

All Works

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17 of 17 papers shown

Taymaz‐Nikerel, Hilal, Marjan De Mey, Gino Baart, et al.. (2015). Comparative fluxome and metabolome analysis for overproduction of succinate in Escherichia coli. Biotechnology and Bioengineering. 113(4). 817–829. 11 indexed citations

Kim, Joomi, Michele Fabris, Gino Baart, et al.. (2015). Flux balance analysis of primary metabolism in the diatom Phaeodactylum tricornutum. The Plant Journal. 85(1). 161–176. 52 indexed citations

Goiris, Koen, Koenraad Muylaert, Stefan Voorspoels, et al.. (2014). Detection of flavonoids in microalgae from different evolutionary lineages. Journal of Phycology. 50(3). 483–492. 147 indexed citations

Fabris, Michele, Michiel Matthijs, Tessa Moses, et al.. (2014). Tracking the sterol biosynthesis pathway of the diatom Phaeodactylum tricornutum. New Phytologist. 204(3). 521–535. 71 indexed citations

Moerkercke, Alex Van, Michele Fabris, Jacob Pollier, et al.. (2013). CathaCyc, a Metabolic Pathway Database Built from Catharanthus roseus RNA-Seq Data. Plant and Cell Physiology. 54(5). 673–685. 85 indexed citations

Taymaz‐Nikerel, Hilal, Marjan De Mey, Gino Baart, et al.. (2013). Changes in substrate availability in Escherichia coli lead to rapid metabolite, flux and growth rate responses. Metabolic Engineering. 16. 115–129. 35 indexed citations

Fabris, Michele, Michiel Matthijs, Stéphane Rombauts, et al.. (2012). The metabolic blueprint of Phaeodactylum tricornutum reveals a eukaryotic Entner–Doudoroff glycolytic pathway. The Plant Journal. 70(6). 1004–1014. 98 indexed citations

Baart, Gino & Dirk E. Martens. (2011). Genome-Scale Metabolic Models: Reconstruction and Analysis. Methods in molecular biology. 799. 107–126. 36 indexed citations

Beauprez, Joeri, María R. Foulquié-Moreno, Jo Maertens, et al.. (2011). Influence of C4-dicarboxylic acid transporters on succinate production. Green Chemistry. 13(8). 2179–2179. 12 indexed citations

10.

Mey, Marjan De, Hilal Taymaz‐Nikerel, Gino Baart, et al.. (2010). Catching prompt metabolite dynamics in Escherichia coli with the BioScope at oxygen rich conditions. Metabolic Engineering. 12(5). 477–487. 30 indexed citations

11.

Tsuruoka, Yoshimasa, et al.. (2010). Integration of metabolic databases for the reconstruction of genome-scale metabolic networks. BMC Systems Biology. 4(1). 114–114. 70 indexed citations

12.

Baart, Gino, Bas van de Waterbeemd, Hendrik-Jan Hamstra, et al.. (2009). Expression of phosphofructokinase in Neisseria meningitidis. Microbiology. 156(2). 530–542. 11 indexed citations

13.

Baart, Gino, et al.. (2008). Modeling Neisseria meningitidis B metabolism at different specific growth rates. Biotechnology and Bioengineering. 101(5). 1022–1035. 21 indexed citations

14.

Baart, Gino, Bert Zomer, Leo A. van der Pol, et al.. (2007). Modeling Neisseria meningitidis metabolism: from genome to metabolic fluxes. Genome biology. 8(7). R136–R136. 58 indexed citations

15.

Baart, Gino, Klaas Van't Riet, Leo A. van der Pol, et al.. (2007). Scale-up for bulk production of vaccine against meningococcal disease. Vaccine. 25(34). 6399–6408. 28 indexed citations

16.

Metz, Bernard, Gideon Kersten, Gino Baart, et al.. (2006). Identification of Formaldehyde-Induced Modifications in Proteins: Reactions with Insulin. Bioconjugate Chemistry. 17(3). 815–822. 159 indexed citations

17.

Meiring, Hugo D., Betsy Kuipers, Jacqueline A. M. van Gaans-van den Brink, et al.. (2005). Mass Tag-Assisted Identification of Naturally Processed HLA Class II-Presented Meningococcal Peptides Recognized by CD4+ T Lymphocytes. The Journal of Immunology. 174(9). 5636–5643. 21 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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