Gabriele Diekert

7.8k total citations
118 papers, 5.9k citations indexed

About

Gabriele Diekert is a scholar working on Molecular Biology, Pollution and Biomedical Engineering. According to data from OpenAlex, Gabriele Diekert has authored 118 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 56 papers in Pollution and 17 papers in Biomedical Engineering. Recurrent topics in Gabriele Diekert's work include Microbial bioremediation and biosurfactants (54 papers), Porphyrin Metabolism and Disorders (38 papers) and Microbial metabolism and enzyme function (23 papers). Gabriele Diekert is often cited by papers focused on Microbial bioremediation and biosurfactants (54 papers), Porphyrin Metabolism and Disorders (38 papers) and Microbial metabolism and enzyme function (23 papers). Gabriele Diekert collaborates with scholars based in Germany, France and United States. Gabriele Diekert's co-authors include Gert Wohlfarth, Rudolf K. Thauer, Anke Neumann, Torsten Schubert, Christof Holliger, Heidrun Scholz-Muramatsu, Rolf Jaenchen, Cindy Kunze, Franz Kaufmann and Edward R. B. Moore and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Gabriele Diekert

118 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Diekert Germany 45 2.8k 2.3k 1.0k 980 889 118 5.9k
Matthias Boll Germany 39 2.5k 0.9× 2.3k 1.0× 510 0.5× 703 0.7× 697 0.8× 138 5.3k
Johann Heider Germany 46 4.0k 1.4× 2.4k 1.0× 603 0.6× 676 0.7× 707 0.8× 119 7.8k
Alan A. DiSpirito United States 42 3.0k 1.1× 1.2k 0.5× 830 0.8× 712 0.7× 488 0.5× 108 5.4k
Christof Holliger Switzerland 54 1.4k 0.5× 4.5k 1.9× 1.5k 1.4× 1.7k 1.8× 1.4k 1.5× 156 7.7k
Harry R. Beller United States 44 1.5k 0.5× 2.0k 0.9× 829 0.8× 845 0.9× 948 1.1× 82 4.7k
Jeremy D. Semrau United States 37 2.8k 1.0× 1.3k 0.6× 424 0.4× 515 0.5× 425 0.5× 98 4.5k
Jan T. Keltjens Netherlands 34 2.0k 0.7× 2.7k 1.2× 311 0.3× 789 0.8× 1.4k 1.5× 99 5.5k
Jean‐Marc Bollag United States 50 1.2k 0.4× 3.4k 1.5× 761 0.7× 1.4k 1.4× 322 0.4× 190 8.3k
Stephen H. Zinder United States 46 2.0k 0.7× 3.9k 1.7× 1.8k 1.8× 1.5k 1.5× 1.6k 1.8× 91 7.9k
Hans G. Schlegel Germany 33 2.8k 1.0× 1.2k 0.5× 732 0.7× 667 0.7× 458 0.5× 88 5.4k

Countries citing papers authored by Gabriele Diekert

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Diekert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Diekert

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Diekert. A scholar is included among the top collaborators of Gabriele Diekert 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 Gabriele Diekert. Gabriele Diekert 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.
2.
Türkowsky, Dominique, Bruna Matturro, Nico Jehmlich, et al.. (2021). Interspecies metabolite transfer and aggregate formation in a co-culture of Dehalococcoides and Sulfurospirillum dehalogenating tetrachloroethene to ethene. The ISME Journal. 15(6). 1794–1809. 39 indexed citations
3.
Diekert, Gabriele, et al.. (2019). Redox potential changes during ATP‐dependent corrinoid reduction determined by redox titrations with europium(II)–DTPA. Protein Science. 28(10). 1902–1908. 10 indexed citations
4.
Kunze, Cindy, Gabriele Diekert, & Torsten Schubert. (2017). Subtle changes in the active site architecture untangled overlapping substrate ranges and mechanistic differences of two reductive dehalogenases. FEBS Journal. 284(20). 3520–3535. 15 indexed citations
5.
Goris, Tobias, Christian Schiffmann, Lorenz Adrian, et al.. (2016). Proteomic data set of the organohalide-respiring Epsilonproteobacterium Sulfurospirillum multivorans adapted to tetrachloroethene and other energy substrates. Data in Brief. 8. 637–642. 5 indexed citations
6.
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Bommer, Martin, Cindy Kunze, Jochen Fesseler, et al.. (2014). Structural basis for organohalide respiration. Science. 346(6208). 455–458. 197 indexed citations
8.
Diekert, Gabriele, et al.. (2014). Conversion of phenyl methyl ethers byDesulfitobacteriumspp. and screening for the genes involved. FEMS Microbiology Ecology. 90(3). 783–790. 12 indexed citations
9.
Werner, Sarah, Gabriele Diekert, & Stefan Schuster. (2010). Revisiting the Thermodynamic Theory of Optimal ATP Stoichiometries by Analysis of Various ATP-Producing Metabolic Pathways. Journal of Molecular Evolution. 71(5-6). 346–355. 20 indexed citations
10.
Schmitz, Roland, et al.. (2008). Retentive Memory of Bacteria: Long-Term Regulation of Dehalorespiration in Sulfurospirillum multivorans. Journal of Bacteriology. 191(5). 1650–1655. 33 indexed citations
11.
Schilhabel, Anke, et al.. (2008). Enzymes involved in the anoxic utilization of phenyl methyl ethers by Desulfitobacterium hafniense DCB2 and Desulfitobacterium hafniense PCE-S. Archives of Microbiology. 190(4). 489–495. 14 indexed citations
12.
Diekert, Gabriele, et al.. (2004). Phenyl methyl ethers: novel electron donors for respiratory growth of Desulfitobacterium hafniense and Desulfitobacterium sp. strain PCE-S. Archives of Microbiology. 181(3). 245–249. 27 indexed citations
13.
Holliger, Christof, Gert Wohlfarth, & Gabriele Diekert. (1998). Reductive dechlorination in the energy metabolism of anaerobic bacteria. FEMS Microbiology Reviews. 22(5). 383–398. 355 indexed citations
14.
Kaufmann, Franz, Gert Wohlfarth, & Gabriele Diekert. (1998). O‐Demethylase from Acetobacterium dehalogenans. European Journal of Biochemistry. 257(2). 515–521. 26 indexed citations
15.
Christiansen, Nina, Birgitte K. Ahring, Gert Wohlfarth, & Gabriele Diekert. (1998). Purification and characterization of the 3‐chloro‐4‐hydroxy‐phenylacetate reductive dehalogenase of Desulfitobacterium hafniense. FEBS Letters. 436(2). 159–162. 53 indexed citations
16.
Wohlfarth, Gert, et al.. (1993). Methyl chloride metabolism of the strictly anaerobic, methyl chloride-utilizing homoacetogen strain MC. Archives of Microbiology. 160(5). 57 indexed citations
17.
Wohlfarth, Gert, et al.. (1991). Purification and characterization of ferredoxin from Peptostreptococcus productus (strain Marburg). Archives of Microbiology. 156(5). 422–426. 4 indexed citations
18.
19.
Diekert, Gabriele, et al.. (1983). Carbon monoxide fixation into the carboxyl group of acetate during growth ofAcetobacterium woodiion H2and CO2. FEMS Microbiology Letters. 17(1-3). 299–302. 41 indexed citations
20.
Diekert, Gabriele, Ernst Graf, & Rudolf K. Thauer. (1979). Nickel requirement for carbon monoxide dehydrogenase formation in Clostridium pasteurianum. Archives of Microbiology. 122(1). 117–120. 77 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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