Jon E. Ness
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Molecular Biology top 5%
- Enzyme Catalysis and Immobilization
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
Papers in
-
- Enzyme Catalysis and Immobilization 8
- Protein Structure and Dynamics 5
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 1
- Machine Learning in Bioinformatics 1
- Co-authors
- Jeremy Minshull (14 shared papers)Sridhar Govindarajan (10 shared papers)Claes Gustafsson (8 shared papers)Alan Villalobos (3 shared papers)Mark Welch (4 shared papers)Willem P.C. Stemmer (3 shared papers)Raymond C. Stevens (1 shared paper)Austin L. Gurney (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)BMC Bioinformatics (1 paper)Journal of the American Chemical Society (1 paper)PLoS ONE (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Jon E. Ness
15 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Biotechnology 160
- Molecular Biology 1.3k
- Molecular Medicine 127
- Genetics 201
- Biomaterials 75
Countries citing papers authored by Jon E. Ness
This map shows the geographic impact of Jon E. Ness'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 Jon E. Ness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon E. Ness more than expected).
Fields of papers citing papers by Jon E. Ness
This network shows the impact of papers produced by Jon E. Ness. 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 Jon E. Ness. The network helps show where Jon E. Ness may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon E. Ness, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 313 | |
| 2 | 2009 | 288 | |
| 3 | 2001 | 209 | |
| 4 | 2010 | 191 | |
| 5 | 1999 | 162 | |
| 6 | 2002 | 152 | |
| 7 | 2003 | 141 | |
| 8 | 2012 | 127 | |
| 9 | 2001 | 98 | |
| 10 | 2007 | 89 | |
| 11 | 2003 | 38 | |
| 12 | 2005 | 27 | |
| 13 | 2004 | 10 | |
| 14 | 2012 | 7 | |
| 15 | 2005 | 5 |
About Jon E. Ness
Jon E. Ness is a scholar working on Molecular Biology, Molecular Medicine, Biotechnology, Genetics and Materials Chemistry, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (8 papers), Protein Structure and Dynamics (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Production and Characterization (1 paper), Genomics and Phylogenetic Studies (1 paper), Enzyme Structure and Function (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biotechnology (160 citations), Molecular Biology (1.3k citations), Molecular Medicine (127 citations), Genetics (201 citations) and Biomaterials (75 citations). Jon E. Ness has collaborated with scholars based in United States and Denmark. Frequent co-authors include Jeremy Minshull, Sridhar Govindarajan, Claes Gustafsson, Alan Villalobos, Mark Welch, Willem P.C. Stemmer, Raymond C. Stevens, Austin L. Gurney, Emily C. Mundorff and Torben Vedel Borchert. Their work appears in journals such as Nature Biotechnology, BMC Bioinformatics, Journal of the American Chemical Society, PLoS ONE and Protein Expression and Purification.
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.