Chris D. Cox
Impact in
- Pollution top 5%
- Microbial bioremediation and biosurfactants
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- Bacterial biofilms and quorum sensing
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Microbial bioremediation and biosurfactants 6
-
- Groundwater flow and contamination studies 5
- Co-authors
- Michael L. SimpsonGary S. SaylerMriganka M. GhoshJames M. McCollumRoy D. DarRoss M. GrahamIck Tae YeomMichael S. Allen
- Journals
- Environmental Science & Technology (6 papers)Proceedings of the National Academy of Sciences (5 papers)Infection and Immunity (3 papers)Journal of Bacteriology (3 papers)Water Science & Technology (3 papers)
- Partner nations
- United StatesDenmarkEgypt
In The Last Decade
Chris D. Cox
71 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 160
- Pollution 326
- Molecular Biology 1.8k
- Biophysics 150
- Molecular Medicine 105
- Genetics 530
Countries citing papers authored by Chris D. Cox
This map shows the geographic impact of Chris D. Cox'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 Chris D. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris D. Cox more than expected).
Fields of papers citing papers by Chris D. Cox
This network shows the impact of papers produced by Chris D. Cox. 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 Chris D. Cox. The network helps show where Chris D. Cox may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris D. Cox, 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 | 2023 | 28 | |
| 2 | 2021 | 18 | |
| 3 | 2017 | 17 | |
| 4 | 2015 | 24 | |
| 5 | 2014 | 9 | |
| 6 | 2013 | 21 | |
| 7 | 2013 | 21 | |
| 8 | 2012 | 347 | |
| 9 | 2011 | 35 | |
| 10 | 2009 | 47 | |
| 11 | 2006 | 15 | |
| 12 | Accelerating Exact Stochastic Simulation Using Reconfigurable Computing. | 2005 | 3 |
| 13 | 2005 | 126 | |
| 14 | 2004 | 65 | |
| 15 | 2004 | 16 | |
| 16 | 2000 | 219 | |
| 17 | 2000 | 38 | |
| 18 | 1996 | 148 | |
| 19 | 1992 | 112 | |
| 20 | 1992 | 6 |
About Chris D. Cox
Chris D. Cox is a scholar working on Pollution, Environmental Engineering, Biophysics, Molecular Biology and Parasitology, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Bacterial biofilms and quorum sensing (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Microbial bioremediation and biosurfactants (6 papers), Groundwater flow and contamination studies (5 papers), Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (5 papers) and bioluminescence and chemiluminescence research (4 papers). The work is most often cited by research in Pollution (326 citations), Molecular Biology (1.8k citations), Biophysics (150 citations), Molecular Medicine (105 citations) and Genetics (530 citations). Chris D. Cox has collaborated with scholars based in United States, Denmark and Egypt. Frequent co-authors include Michael L. Simpson, Gary S. Sayler, Mriganka M. Ghosh, James M. McCollum, Roy D. Dar, Ross M. Graham, Ick Tae Yeom, Michael S. Allen, Deborah A. King and Yeates Conwell. Their work appears in journals such as Environmental Science & Technology, Proceedings of the National Academy of Sciences, Infection and Immunity, Journal of Bacteriology and Water Science & Technology.
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.