Daniel Siebert

946 citations
25 papers · 576 · h-index 12

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 11
    • Enzyme Catalysis and Immobilization 5
    • Genomics and Phylogenetic Studies 2
    • Biofuel production and bioconversion 7

Daniel Siebert

24 papers receiving 526 citations

Peers

Daniel Siebert
Comparison fields: 5 of 89
  • Statistics and Probability 71
  • Developmental and Educational Psychology 94
  • Education 219
  • Literature and Literary Theory 50
  • Molecular Biology 260
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Citations per year

Countries citing papers authored by Daniel Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Siebert, 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 Daniel Siebert Line = papers co-authored together Daniel Siebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200297
2 201495
3 201573
4 200863
5 201935
6 200431
7 200529
8 200625
9 202023
10 202015
11 202115
12 201113
13 201811
14 202211
15 202310
16 20168
17 20217
18 20155
19 20044
20
Aims and Criteria for Collaboration in Content-Area Classrooms
20102

About Daniel Siebert

Daniel Siebert is a scholar working on Molecular Biology, Biomedical Engineering, Education, Developmental and Educational Psychology and Environmental Engineering, having authored 25 papers that have together received 576 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (7 papers), Mathematics Education and Teaching Techniques (5 papers), Enzyme Catalysis and Immobilization (5 papers), Education Methods and Practices (3 papers), Anaerobic Digestion and Biogas Production (2 papers), Genomics and Phylogenetic Studies (2 papers) and Microbial Fuel Cells and Bioremediation (2 papers). The work is most often cited by research in Statistics and Probability (71 citations), Developmental and Educational Psychology (94 citations), Education (219 citations), Literature and Literary Theory (50 citations) and Molecular Biology (260 citations). Daniel Siebert has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Roni Jo Draper, Joanne Lobato, Volker F. Wendisch, Bastian Blombach, Jörn Kalinowski, Christian Rückert, Bernhard J. Eikmanns, Kendra M. Hall, Meike Baumgart and Leigh K. Smith. Their work appears in journals such as Microbial Cell Factories, Metabolic Engineering, Microbial Biotechnology, Advances in biochemical engineering, biotechnology and New 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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