German Preciat

3.1k total citations · 1 hit paper
10 papers, 230 citations indexed

About

German Preciat is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, German Preciat has authored 10 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Biotechnology. Recurrent topics in German Preciat's work include Plant tissue culture and regeneration (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Plant Genetic and Mutation Studies (3 papers). German Preciat is often cited by papers focused on Plant tissue culture and regeneration (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Plant Genetic and Mutation Studies (3 papers). German Preciat collaborates with scholars based in Netherlands, Ireland and Luxembourg. German Preciat's co-authors include Ronan M. T. Fleming, Ines Thiele, Janaka N. Edirisinghe, Christopher S. Henry, Johannes Hertel, Filippo Martinelli Boneschi, Stefanía Magnúsdóttir, Almut Heinken, Dmitry A. Ravcheev and Cecilia Andrea Décima Oneto and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Nature Protocols.

In The Last Decade

German Preciat

8 papers receiving 222 citations

Hit Papers

Genome-scale metabolic reconstruction of 7,302 human micr... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
German Preciat Netherlands 6 189 46 29 25 16 10 230
Bin Du United States 10 253 1.3× 24 0.5× 69 2.4× 9 0.4× 15 0.9× 13 297
Caiyan Huang China 9 289 1.5× 20 0.4× 20 0.7× 36 1.4× 85 5.3× 22 477
Florencia Velez‐Cortes United States 6 189 1.0× 18 0.4× 10 0.3× 14 0.6× 28 1.8× 9 260
Stephanie P. Cartwright United Kingdom 8 218 1.2× 13 0.3× 41 1.4× 66 2.6× 24 1.5× 13 313
Inge Holsbeeks Belgium 4 241 1.3× 118 2.6× 41 1.4× 11 0.4× 30 1.9× 5 350
Bénédicte Doublet France 6 289 1.5× 85 1.8× 3 0.1× 30 1.2× 7 0.4× 6 334
Matthias Klapperstück Germany 6 198 1.0× 78 1.7× 29 1.0× 3 0.1× 8 0.5× 13 283
Katharina Kainz Austria 5 135 0.7× 25 0.5× 9 0.3× 18 0.7× 8 0.5× 11 234
Adelle Smith United States 6 348 1.8× 64 1.4× 45 1.6× 21 0.8× 18 1.1× 8 388
Lucia Antonacci Italy 7 292 1.5× 49 1.1× 49 1.7× 11 0.4× 34 2.1× 8 326

Countries citing papers authored by German Preciat

Since Specialization
Citations

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

Fields of papers citing papers by German Preciat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of German Preciat

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

All Works

10 of 10 papers shown
2.
Heinken, Almut, Johannes Hertel, Dmitry A. Ravcheev, et al.. (2023). Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine. Nature Biotechnology. 41(9). 1320–1331. 140 indexed citations breakdown →
3.
Žagare, Alise, German Preciat, Sarah Nickels, et al.. (2023). Omics data integration suggests a potential idiopathic Parkinson’s disease signature. Communications Biology. 6(1). 1179–1179. 14 indexed citations
4.
Thiele, Ines, German Preciat, & Ronan M. T. Fleming. (2022). MetaboAnnotator: an efficient toolbox to annotate metabolites in genome-scale metabolic reconstructions. Bioinformatics. 38(20). 4831–4832. 4 indexed citations
5.
Miralles, Daniel J., L. Gabriela Abeledo, Cecilia Andrea Décima Oneto, et al.. (2021). Stress-induced expression of IPT gene in transgenic wheat reduces grain yield penalty under drought. Journal of Genetic Engineering and Biotechnology. 19(1). 67–67. 20 indexed citations
6.
Preciat, German, et al.. (2017). Comparative evaluation of atom mapping algorithms for balanced metabolic reactions: application to Recon 3D. Journal of Cheminformatics. 9(1). 39–39. 23 indexed citations
7.
Preciat, German, et al.. (2012). Somatic embryogenesis and plant regeneration capacity in Argentinean maize (Zea mays L.) inbred lines. Electronic Journal of Biotechnology. 15(1). 12 indexed citations
8.
Oneto, Cecilia Andrea Décima, et al.. (2011). Maize Genetic Transformation. LAP LAMBERT Academic Publishing eBooks. 4 indexed citations
9.
Oneto, Cecilia Andrea Décima, et al.. (2010). Biolistic maize transformation: Improving and simplifying the protocol efficiency. African Journal of Agricultural Research. 5(25). 3561–3570. 12 indexed citations
10.
Oneto, Cecilia Andrea Décima, et al.. (2010). High and low pressure gene gun devices give similar transformation efficiencies in maize calluses. African Journal of Plant Science. 4(7). 217–225. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026