Gino Baart

1.2k citations
17 papers · 945 · h-index 14

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 10
    • RNA and protein synthesis mechanisms 3
    • Plant biochemistry and biosynthesis 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Gene Regulatory Network Analysis 3
    • Bacterial Genetics and Biotechnology 4

Gino Baart

17 papers receiving 922 citations

Peers

Gino Baart
Comparison fields: 5 of 98
  • Renewable Energy, Sustainability and the Environment 224
  • Microbiology 65
  • Molecular Biology 628
  • Aquatic Science 41
  • Oceanography 67
Replace Shinya Kodani with:
Shinya Kodani Japan
Seiko Shigeta Japan
Selim Çetiner Türkiye
Hélène Rogniaux France
Elizeu Antunes dos Santos Brazil
Benedetta Mattei Italy
Bo Zheng China
Sandra Sperker Canada
Kanami Mori‐Yasumoto Japan
Jan Cordewener Netherlands
Gino Baart relative to Shinya Kodani Japan Shinya Kodani's profile →
Citations per field
00.5×3.7×
Shinya Kodani · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gino Baart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gino Baart Line = papers co-authored together Gino Baart links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006159
2 2014147
3 201298
4 201385
5 201471
6 201070
7 200758
8 201552
9 201136
10 201335
11 201030
12 200728
13 200521
14 200821
15 201112
16 201511
17 200911

About Gino Baart

Gino Baart is a scholar working on Molecular Biology, Genetics, Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Ecology, having authored 17 papers that have together received 945 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (10 papers), Bacterial Genetics and Biotechnology (4 papers), Algal biology and biofuel production (4 papers), RNA and protein synthesis mechanisms (3 papers), Plant biochemistry and biosynthesis (3 papers), Biofuel production and bioconversion (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (224 citations), Microbiology (65 citations), Molecular Biology (628 citations), Aquatic Science (41 citations) and Oceanography (67 citations). Gino Baart has collaborated with scholars based in Netherlands, Belgium and France. Frequent co-authors include Michele Fabris, Alain Goossens, Dirk E. Martens, Wim Vyverman, Stéphane Rombauts, Michiel Matthijs, Koenraad Muylaert, Domien De Paepe, Koen Goiris and Stefan Voorspoels. Their work appears in journals such as Biotechnology and Bioengineering, Metabolic Engineering, The Plant Journal, The Journal of Immunology and Microbiology.

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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