Kenneth J. Kauffman

988 citations
9 papers · 678 indexed · 1 hit paper · h-index 4
Topics
Gene Regulatory Network Analysis (3 papers)Microbial Metabolic Engineering and Bioproduction (2 papers)Statistics Education and Methodologies (1 paper)
Partner nations
United States

In The Last Decade

Kenneth J. Kauffman

8 papers receiving 658 citations

Hit Papers

Advances in flux balance analysis20032026201020182003100200300400500

Peers

Kenneth J. Kauffman
Comparison fields: 5 of 82
  • Molecular Biology 595
  • Biomedical Engineering 175
  • Control and Systems Engineering 37
  • Computational Theory and Mathematics 35
  • Genetics 34
Replace Jannis Uhlendorf with:
Jannis Uhlendorf Germany
Francesca Ceroni United Kingdom
Adrian Saldanha United States
Amin Espah Borujeni United States
Olivier Borkowski United Kingdom
Nikolaos Anesiadis Canada
Michael Hanscho Austria
Rui M. C. Portela Portugal
Prashant Vaidyanathan United States
Zizhuo Xing United States
Kenneth J. Kauffman relative to Jannis Uhlendorf Germany Jannis Uhlendorf's profile →
Citations per field
00.5×3.9×
Jannis Uhlendorf · 1×
Citations per year

Countries citing papers authored by Kenneth J. Kauffman

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Kauffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth J. Kauffman. 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 Kenneth J. Kauffman. The network helps show where Kenneth J. Kauffman may publish in the future.

Co-authorship network of co-authors of Kenneth J. Kauffman

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Kauffman. A scholar is included among the top collaborators of Kenneth J. Kauffman 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 Kenneth J. Kauffman. Kenneth J. Kauffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2
Advances in flux balance analysisbreakdown →
526
3 3
4 45
5 2
6 63
7 1
8 33
9
How To Make Questioning Work For You: Effective Questioning in the ChE Classroom.
2

About Kenneth J. Kauffman

Kenneth J. Kauffman is a scholar working on Architecture, Statistics and Probability and Cell Biology, having authored 9 papers that have together received 678 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Statistics Education and Methodologies (1 paper). The work is most often cited by research in Molecular Biology (595 citations), Architecture (12 citations) and Biomedical Engineering (175 citations). Kenneth J. Kauffman has collaborated with scholars based in United States. Frequent co-authors include Jeremy S. Edwards, Michael P. Clough, Eric M. Pridgen, Prasad Dhurjati, Anne S. Robinson, Francis J. Doyle, Bernhard Ø. Palsson, J. David Pajerowski and Neema Jamshidi. Their work appears in journals such as Biophysical Journal, Current Opinion in Biotechnology and Biotechnology Progress.

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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