David Karig

3.8k total citations · 1 hit paper
39 papers, 2.6k citations indexed

About

David Karig is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, David Karig has authored 39 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 7 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in David Karig's work include Gene Regulatory Network Analysis (14 papers), CRISPR and Genetic Engineering (6 papers) and Gut microbiota and health (6 papers). David Karig is often cited by papers focused on Gene Regulatory Network Analysis (14 papers), CRISPR and Genetic Engineering (6 papers) and Gut microbiota and health (6 papers). David Karig collaborates with scholars based in United States, Canada and Italy. David Karig's co-authors include Ron Weiss, Subhayu Basu, Ernesto Andrianantoandro, Sharon Bewick, Lingchong You, Michael L. Simpson, Frances H. Arnold, Katie Brenner, Aloke Kumar and Mitchel J. Doktycz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

David Karig

38 papers receiving 2.5k citations

Hit Papers

Synthetic biology: new engineering rules for an emerging ... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Karig United States 24 1.8k 551 405 243 182 39 2.6k
Ting Lu United States 33 2.3k 1.3× 656 1.2× 574 1.4× 308 1.3× 248 1.4× 121 3.9k
Chikara Furusawa Japan 40 4.1k 2.3× 1.0k 1.8× 1.0k 2.5× 221 0.9× 80 0.4× 162 5.2k
Diogo M. Camacho United States 17 2.4k 1.4× 690 1.3× 348 0.9× 146 0.6× 53 0.3× 23 3.7k
Michael Baym United States 21 1.6k 0.9× 304 0.6× 732 1.8× 375 1.5× 133 0.7× 38 2.8k
Patrik D’haeseleer United States 30 2.4k 1.4× 820 1.5× 222 0.5× 333 1.4× 186 1.0× 43 3.5k
Henry Lam Hong Kong 32 3.5k 2.0× 174 0.3× 289 0.7× 152 0.6× 42 0.2× 112 5.0k
Juhyun Kim South Korea 19 1.3k 0.8× 182 0.3× 391 1.0× 160 0.7× 132 0.7× 73 2.1k
Mikael Huss Sweden 25 2.9k 1.6× 197 0.4× 481 1.2× 82 0.3× 59 0.3× 56 3.9k
Cynthia H. Collins United States 20 2.2k 1.2× 780 1.4× 637 1.6× 256 1.1× 50 0.3× 29 2.8k
Christopher V. Rao United States 39 3.8k 2.1× 2.0k 3.6× 1.1k 2.7× 382 1.6× 133 0.7× 117 5.9k

Countries citing papers authored by David Karig

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David Karig

This figure shows the co-authorship network connecting the top 25 collaborators of David Karig. A scholar is included among the top collaborators of David Karig 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 David Karig. David Karig 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
1.
Loomis, Kristin H., et al.. (2021). A mixed community of skin microbiome representatives influences cutaneous processes more than individual members. Microbiome. 9(1). 22–22. 43 indexed citations
2.
Weissman, JL, Samantha Bolten, Peter Thielen, et al.. (2021). Exploring the functional composition of the human microbiome using a hand-curated microbial trait database. BMC Bioinformatics. 22(1). 306–306. 6 indexed citations
3.
Ernlund, Amanda, Lauren T. Moffatt, Collin M. Timm, et al.. (2021). Examining the effect of wound cleansing on the microbiome of venous stasis ulcers. Wound Repair and Regeneration. 29(5). 766–776. 5 indexed citations
4.
Timm, Collin M., Kristin H. Loomis, William D. Stone, et al.. (2020). Isolation and characterization of diverse microbial representatives from the human skin microbiome. Microbiome. 8(1). 58–58. 54 indexed citations
5.
Bewick, Sharon, Eliezer Gurarie, JL Weissman, et al.. (2019). Trait-based analysis of the human skin microbiome. Microbiome. 7(1). 101–101. 26 indexed citations
6.
Mainali, Kumar P., Sharon Bewick, Briana Vecchio-Pagán, David Karig, & William F. Fagan. (2019). Detecting interaction networks in the human microbiome with conditional Granger causality. PLoS Computational Biology. 15(5). e1007037–e1007037. 28 indexed citations
7.
Karig, David, et al.. (2018). Stochastic Turing patterns in a synthetic bacterial population. Proceedings of the National Academy of Sciences. 115(26). 6572–6577. 126 indexed citations
8.
Karig, David, et al.. (2017). Preservation of protein expression systems at elevated temperatures for portable therapeutic production. Journal of The Royal Society Interface. 14(129). 20161039–20161039. 43 indexed citations
9.
Mainali, Kumar P., Sharon Bewick, Peter Thielen, et al.. (2017). Statistical analysis of co-occurrence patterns in microbial presence-absence datasets. PLoS ONE. 12(11). e0187132–e0187132. 29 indexed citations
10.
Karig, David. (2017). Cell-free synthetic biology for environmental sensing and remediation. Current Opinion in Biotechnology. 45. 69–75. 69 indexed citations
11.
Lopatkin, Allison J., Shuqiang Huang, Robert P. Smith, et al.. (2016). Antibiotics as a selective driver for conjugation dynamics. Nature Microbiology. 1(6). 16044–16044. 231 indexed citations
12.
Iyer, Sukanya, et al.. (2013). Multi-Input Regulation and Logic with T7 Promoters in Cells and Cell-Free Systems. PLoS ONE. 8(10). e78442–e78442. 37 indexed citations
13.
Karig, David, Sukanya Iyer, Michael L. Simpson, & Mitchel J. Doktycz. (2012). Expression Optimization and Inducible Negative Feedback in Cell-Free Systems. Molecular Systems Biology. 40(8). 1 indexed citations
14.
Karig, David, Sukanya Iyer, Michael L. Simpson, & Mitchel J. Doktycz. (2011). Expression optimization and synthetic gene networks in cell-free systems. Nucleic Acids Research. 40(8). 3763–3774. 92 indexed citations
15.
Karig, David, Piro Siuti, Roy D. Dar, et al.. (2011). Model for biological communication in a nanofabricated cell-mimic driven by stochastic resonance. Nano Communication Networks. 2(1). 39–49. 7 indexed citations
16.
Brenner, Katie, David Karig, Ron Weiss, & Frances H. Arnold. (2007). Engineered bidirectional communication mediates a consensus in a microbial biofilm consortium. Proceedings of the National Academy of Sciences. 104(44). 17300–17304. 185 indexed citations
17.
Karig, David, J. Ku, & Ron Weiss. (2006). Engineering Multi-signal Systems for Complex Pattern Formation. 263–266. 1 indexed citations
18.
Karig, David & Ron Weiss. (2005). Signal‐amplifying genetic circuit enables in vivo observation of weak promoter activation in the Rhl quorum sensing system. Biotechnology and Bioengineering. 89(6). 709–718. 37 indexed citations
19.
Lee, Ruby B., David Karig, J.P. McGregor, & Zhijie Shi. (2003). Enlisting Hardware Architecture to Thwart Malicious Code Injection.. Lecture notes in computer science. 237–252. 54 indexed citations
20.
Karig, David & Ruby Lee. (2001). Remote Denial of Service Attacks and Countermeasures. Child welfare. 86(2). 31–48. 30 indexed citations

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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