Daniela E. Koeck

20 papers receiving 890 citations

Peers

Daniela E. Koeck
Comparison fields: 5 of 77
  • Building and Construction 418
  • Biotechnology 139
  • Pollution 174
  • Biomedical Engineering 437
  • Molecular Biology 383
Replace Lingfang Gao with:
Lingfang Gao China
K. Mundt Germany
Yvonne Stolze Germany
Zong Jun Cui Japan
Eugene L. Iannotti United States
Anna Detman Poland
Shuangya Chen China
Wajdi Ben Hania France
Pieter Candry United States
Jifei Xu China
Daniela E. Koeck relative to Lingfang Gao China Lingfang Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela E. Koeck

Since Specialization
Citations

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

Fields of papers citing papers by Daniela E. Koeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela E. Koeck. 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 Daniela E. Koeck. The network helps show where Daniela E. Koeck may publish in the future.

Co-authors

The 24 scholars most cited alongside Daniela E. Koeck, 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 Daniela E. Koeck Line = papers co-authored together Daniela E. Koeck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016211
2 2014157
3 2016137
4 201572
5 201748
6 201740
7 201639
8 201630
9 201429
10 201423
11 201522
12 201521
13 201321
14 201514
15 201812
16 20148
17 20167
18 20182
19
Complete Genome Sequence of Herbinix luporumSD1D, a New Cellulose-Degrading Bacterium Isolated from a Thermophilic Biogas Reactor
20162
20 20161

About Daniela E. Koeck

Daniela E. Koeck is a scholar working on Building and Construction, Biomedical Engineering, Biotechnology, Molecular Biology and Ecology, having authored 20 papers that have together received 896 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (16 papers), Genomics and Phylogenetic Studies (11 papers), Anaerobic Digestion and Biogas Production (9 papers), Enzyme Production and Characterization (4 papers), Microbial Community Ecology and Physiology (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Studies on Chitinases and Chitosanases (1 paper) and Infections and bacterial resistance (1 paper). The work is most often cited by research in Building and Construction (418 citations), Biotechnology (139 citations), Pollution (174 citations), Biomedical Engineering (437 citations) and Molecular Biology (383 citations). Daniela E. Koeck has collaborated with scholars based in Germany, Russia and France. Frequent co-authors include Vladimir V. Zverlov, Wolfgang H. Schwarz, Sarah Hahnke, Michael Klocke, Thomas Langer, Wolfgang Liebl, Andreas Schlüter, Daniel Wibberg, Gerhard Wanner and Wolfgang Ludwig. Their work appears in journals such as Journal of Biotechnology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Biotechnology for Biofuels, Systematic and Applied Microbiology and Current Opinion in Biotechnology.

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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