Florian David

3.5k total citations
76 papers, 2.6k citations indexed

About

Florian David is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Florian David has authored 76 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 16 papers in Clinical Biochemistry and 15 papers in Physiology. Recurrent topics in Florian David's work include Microbial Metabolic Engineering and Bioproduction (17 papers), Metabolism and Genetic Disorders (16 papers) and Diet and metabolism studies (15 papers). Florian David is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (17 papers), Metabolism and Genetic Disorders (16 papers) and Diet and metabolism studies (15 papers). Florian David collaborates with scholars based in Sweden, Denmark and Canada. Florian David's co-authors include Jens Nielsen, Verena Siewers, Henri Brunengraber, Tao Yu, Michel Garneau, Christine Des Rosiers, Quanli Liu, Yongjin J. Zhou, Brian F. Pfleger and Ezequiel Franco‐Lara and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Florian David

74 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian David Sweden 30 2.0k 530 360 249 192 76 2.6k
Masao Fujimaki Japan 29 1.4k 0.7× 447 0.8× 381 1.1× 324 1.3× 79 0.4× 410 3.9k
Tuomo Glumoff Finland 22 1.2k 0.6× 131 0.2× 259 0.7× 136 0.5× 81 0.4× 44 2.1k
Yvonne Kallberg Sweden 14 1.7k 0.8× 127 0.2× 228 0.6× 117 0.5× 172 0.9× 18 2.5k
Shingo Izawa Japan 30 2.5k 1.3× 513 1.0× 99 0.3× 160 0.6× 57 0.3× 105 3.4k
Kazutaka Shimbo Japan 28 1.2k 0.6× 109 0.2× 182 0.5× 165 0.7× 93 0.5× 54 2.2k
Masaru Wada Japan 27 2.0k 1.0× 406 0.8× 78 0.2× 65 0.3× 125 0.7× 75 2.5k
Ashakumary Lakshmikuttyamma Canada 26 1.2k 0.6× 152 0.3× 167 0.5× 48 0.2× 88 0.5× 53 2.1k
Erik Nordling Sweden 17 1.2k 0.6× 113 0.2× 103 0.3× 93 0.4× 162 0.8× 30 1.7k
John R. Trevithick Canada 28 1.1k 0.6× 122 0.2× 373 1.0× 293 1.2× 64 0.3× 76 2.0k
P.K. Maitra India 24 1.4k 0.7× 257 0.5× 103 0.3× 80 0.3× 131 0.7× 60 2.0k

Countries citing papers authored by Florian David

Since Specialization
Citations

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

Fields of papers citing papers by Florian David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian David

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

All Works

20 of 20 papers shown
1.
Limeta, Angelo, et al.. (2023). Targeted In Vivo Mutagenesis in Yeast Using CRISPR/Cas9 and Hyperactive Cytidine and Adenine Deaminases. ACS Synthetic Biology. 12(8). 2278–2289. 3 indexed citations
2.
Zrimec, Jan, Xiaozhi Fu, Azam Sheikh Muhammad, et al.. (2022). Controlling gene expression with deep generative design of regulatory DNA. Nature Communications. 13(1). 5099–5099. 57 indexed citations
3.
Gossing, Michael, et al.. (2021). Expansion of the Yeast Modular Cloning Toolkit for CRISPR-Based Applications, Genomic Integrations and Combinatorial Libraries. ACS Synthetic Biology. 10(12). 3461–3474. 23 indexed citations
4.
Ferreira, Raphaël, et al.. (2021). Rational gRNA design based on transcription factor binding data. PubMed. 6(1). ysab014–ysab014. 3 indexed citations
5.
David, Florian, A. M. Davis, Michael Gossing, et al.. (2021). A Perspective on Synthetic Biology in Drug Discovery and Development—Current Impact and Future Opportunities. SLAS DISCOVERY. 26(5). 581–603. 22 indexed citations
6.
7.
Wenning, Leonie, Christer S. Ejsing, Florian David, et al.. (2019). Increasing jojoba-like wax ester production in Saccharomyces cerevisiae by enhancing very long-chain, monounsaturated fatty acid synthesis. Microbial Cell Factories. 18(1). 49–49. 22 indexed citations
8.
Ferreira, Raphaël, Paulo Gonçalves Teixeira, Michael Gossing, et al.. (2018). Metabolic engineering of Saccharomyces cerevisiae for overproduction of triacylglycerols. Metabolic Engineering Communications. 6. 22–27. 57 indexed citations
9.
Yu, Tao, Yongjin J. Zhou, Leonie Wenning, et al.. (2017). Metabolic engineering of Saccharomyces cerevisiae for production of very long chain fatty acid-derived chemicals. Nature Communications. 8(1). 15587–15587. 78 indexed citations
10.
Ferreira, Raphaël, Tadas Jakočiūnas, Dushica Arsovska, et al.. (2017). Transcriptional reprogramming in yeast using dCas9 and combinatorial gRNA strategies. Microbial Cell Factories. 16(1). 46–46. 95 indexed citations
11.
Bergmann, Sven, et al.. (2013). Membrane fluidity of halophilic ectoine-secreting bacteria related to osmotic and thermal treatment. Bioprocess and Biosystems Engineering. 36(12). 1829–1841. 7 indexed citations
12.
David, Florian, et al.. (2012). Discontinuous and continuous purification of single-chain antibody fragments using immobilized metal ion affinity chromatography. Journal of Biotechnology. 163(2). 233–242. 10 indexed citations
13.
Korneli, Claudia, Florian David, Rebekka Biedendieck, Dieter Jahn, & Christoph Wittmann. (2012). Getting the big beast to work—Systems biotechnology of Bacillus megaterium for novel high-value proteins. Journal of Biotechnology. 163(2). 87–96. 43 indexed citations
14.
David, Florian, et al.. (2011). Antibody production in Bacillus megaterium: Strategies and physiological implications of scaling from microtiter plates to industrial bioreactors. Biotechnology Journal. 6(12). 1516–1531. 19 indexed citations
15.
David, Florian, et al.. (2011). Influence of the hydromechanical stress and temperature on growth and antibody fragment production with Bacillus megaterium. Applied Microbiology and Biotechnology. 91(1). 81–90. 14 indexed citations
16.
17.
Beylot, M., Florian David, & Henri Brunengraber. (1993). Determination of the 13C-Labeling Pattern of Glutamate by Gas Chromatography-Mass Spectrometry. Analytical Biochemistry. 212(2). 532–536. 38 indexed citations
18.
Guyonvarch, Armel, et al.. (1991). ‘Integron’-bearing vectors: a method suitable for stable chromosomal integration in highly restrictive Corynebacteria. Gene. 107(1). 61–68. 41 indexed citations
19.
Fink, Gregor, Christine Des Rosiers, Michel Garneau, et al.. (1988). Pseudoketogenesis in the perfused rat heart.. Journal of Biological Chemistry. 263(34). 18036–18042. 40 indexed citations
20.
Garneau, Michel, et al.. (1986). Ketogenesis in muscle: artifact or reality. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 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.

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