David Karig
- Molecular Medicine top 5%
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 14
- CRISPR and Genetic Engineering 6
- Gut microbiota and health 6
- Bacterial biofilms and quorum sensing 5
- Viral Infectious Diseases and Gene Expression in Insects 5
- Metabolomics and Mass Spectrometry Studies 4
- Single-cell and spatial transcriptomics 3
- Biophysics top 5%
- Pollution top 5%
- Genetics top 5%
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- Dermatology and Skin Diseases 4
- Co-authors
- Ron WeissSubhayu BasuErnesto AndrianantoandroSharon BewickLingchong YouMichael L. SimpsonKatie BrennerFrances H. Arnold
- Journals
- Microbiome (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biotechnology and Bioengineering (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
David Karig
38 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Medicine 141
- Molecular Biology 1.8k
- Biophysics 95
- Pollution 182
- Genetics 405
Countries citing papers authored by David Karig
This map shows the geographic impact of David Karig'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 David Karig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Karig more than expected).
Fields of papers citing papers by David Karig
This network shows the impact of papers produced by David Karig. 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 David Karig. The network helps show where David Karig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Karig, 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 | 2021 | 6 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 54 | |
| 4 | 2019 | 26 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 42 | |
| 7 | 2017 | 43 | |
| 8 | 2017 | 69 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 231 | |
| 13 | 2013 | 37 | |
| 14 | Expression Optimization and Inducible Negative Feedback in Cell-Free Systems | 2012 | 1 |
| 15 | 2011 | 92 | |
| 16 | 2011 | 7 | |
| 17 | 2009 | 47 | |
| 18 | 2005 | 37 | |
| 19 | Enlisting Hardware Architecture to Thwart Malicious Code Injection. | 2003 | 54 |
| 20 | Remote Denial of Service Attacks and Countermeasures | 2001 | 30 |
About David Karig
David Karig is a scholar working on Biophysics, Dermatology, Molecular Biology, Pharmaceutical Science and Signal Processing, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), CRISPR and Genetic Engineering (6 papers), Gut microbiota and health (6 papers), Bacterial biofilms and quorum sensing (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Dermatology and Skin Diseases (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Molecular Medicine (141 citations), Molecular Biology (1.8k citations), Biophysics (95 citations), Pollution (182 citations) and Genetics (405 citations). David Karig has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Ron Weiss, Subhayu Basu, Ernesto Andrianantoandro, Sharon Bewick, Lingchong You, Michael L. Simpson, Katie Brenner, Frances H. Arnold, Aloke Kumar and Mitchel J. Doktycz. Their work appears in journals such as Microbiome, Proceedings of the National Academy of Sciences, Biotechnology and Bioengineering, ACS Synthetic Biology and Natural Computing.
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.