Daniel C. Ducat

3.5k citations
46 papers · 2.9k · h-index 24

Impact in

Papers in

Daniel C. Ducat

44 papers receiving 2.8k citations

Peers

Daniel C. Ducat
Comparison fields: 5 of 98
  • Renewable Energy, Sustainability and the Environment 624
  • Molecular Biology 1.7k
  • Cell Biology 152
  • Process Chemistry and Technology 14
  • Plant Science 317
Replace Andrea L. Manuell with:
Andrea L. Manuell United States
Robert E. Jinkerson United States
Jeffrey L Moseley United States
Ru Zhang China
Gaël Brasseur France
Kateřina Bišová Czechia
Wolfgang Lockau Germany
Sung Gyun Kang South Korea
David González-Ballester Spain
Wayne Russell Riekhof United States
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Citations per field
00.5×2×3×4×4.7×
Andrea L. Manuell · 1×
Citations per year

Countries citing papers authored by Daniel C. Ducat

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Ducat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011418
2 2012304
3 2013256
4 2019187
5 2004153
6 2012145
7 2011116
8 2017113
9 2010110
10 2017106
11 201497
12 202188
13 201787
14 201871
15 200856
16 201556
17 201655
18 201749
19 202035
20 201634

About Daniel C. Ducat

Daniel C. Ducat is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Biomaterials, Environmental Engineering and Cell Biology, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (19 papers), Photosynthetic Processes and Mechanisms (12 papers), Algal biology and biofuel production (9 papers), Metalloenzymes and iron-sulfur proteins (4 papers), Bacterial Genetics and Biotechnology (4 papers), Biochemical and Structural Characterization (4 papers), Microtubule and mitosis dynamics (3 papers) and biodegradable polymer synthesis and properties (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (624 citations), Molecular Biology (1.7k citations), Cell Biology (152 citations), Process Chemistry and Technology (14 citations) and Plant Science (317 citations). Daniel C. Ducat has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Pamela A. Silver, Jeffrey C. Way, María Santos‐Merino, Yixian Zheng, J. Abraham Avelar‐Rivas, Stephanie G. Hays, Amit Kumar Singh, Katherine W. Osteryoung, Joshua S. MacCready and Taylor L. Weiss. Their work appears in journals such as ACS Synthetic Biology, Metabolic Engineering, PLANT PHYSIOLOGY, Proceedings of the National Academy of Sciences and Journal of Biological Engineering.

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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