Daniel C. Zielinski

5.3k citations
45 papers · 2.6k indexed · 1 hit paper · h-index 18
Topics
Microbial Metabolic Engineering and Bioproduction (30 papers)Gene Regulatory Network Analysis (14 papers)Bioinformatics and Genomic Networks (7 papers)

In The Last Decade

Daniel C. Zielinski

41 papers receiving 2.6k citations

Hit Papers

Quantitative prediction of cellular metabolism with const...201120262016202120114008001.2k

Peers

Daniel C. Zielinski
Comparison fields: 5 of 119
  • Molecular Biology 2.3k
  • Biomedical Engineering 817
  • Renewable Energy, Sustainability and the Environment 191
  • Genetics 180
  • Cancer Research 119
Replace Jan Schellenberger with:
Jan Schellenberger United States
Aarash Bordbar United States
Scott A. Becker United States
Monica L. Mo United States
Andreas Dräger Germany
Joshua A. Lerman United States
Eduard J. Kerkhoven Sweden
Sorena Rahmanian United States
Christophe H. Schilling United States
Marco Oldiges Germany
Daniel C. Zielinski relative to Jan Schellenberger United States Jan Schellenberger's profile →
Citations per field
00.5×
Jan Schellenberger · 1×
Citations per year

Countries citing papers authored by Daniel C. Zielinski

Since Specialization
Citations

This map shows the geographic impact of Daniel C. Zielinski'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. Zielinski 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. Zielinski more than expected).

Fields of papers citing papers by Daniel C. Zielinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Zielinski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Zielinski. A scholar is included among the top collaborators of Daniel C. Zielinski 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 Daniel C. Zielinski. Daniel C. Zielinski 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
#WorkIndexed citations
1 2
2 5
3 5
4 1
5 2
6 2
7 5
8 10
9 2
10 0
11 11
12 12
13 9
14 23
15 16
16 45
17 153
18 87
19 24
20 55

About Daniel C. Zielinski

Daniel C. Zielinski is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Genetics, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (30 papers), Gene Regulatory Network Analysis (14 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Biomedical Engineering (817 citations) and Renewable Energy, Sustainability and the Environment (191 citations). Daniel C. Zielinski has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Bernhard Ø. Palsson, Aarash Bordbar, Adam M. Feist, Jan Schellenberger, Jeffrey D. Orth, Nathan E. Lewis, Daniel R. Hyduke, Ines Thiele, Sorena Rahmanian and Richard Que. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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