Matthew B. Carson
Impact in
- Periodontics top 0.5%
- Oral microbiology and periodontitis research
- Microbiology top 1%
- Bacterial Infections and Vaccines
Papers in
-
- RNA and protein synthesis mechanisms 7
- Bioinformatics and Genomic Networks 6
- Machine Learning in Bioinformatics 5
- Protein Structure and Dynamics 4
- Genomics and Chromatin Dynamics 4
-
- Research Data Management Practices 3
- Co-authors
- Hui Lü (11 shared papers)Joseph J. Ferretti (1 shared paper)Runying Tian (1 shared paper)Shaoping Lin (1 shared paper)Shuling Li (1 shared paper)Hua Zhu (1 shared paper)Yudong Qian (1 shared paper)W. Michael McShan (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Journal of the American Medical Informatics Association (2 papers)Journal of Bacteriology (2 papers)IET Systems Biology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Matthew B. Carson
35 papers receiving 1.8k citations
Matthew B. Carson's Hit Papers
Peers
Comparison fields: 5 of 138
- Periodontics 448
- Microbiology 280
- Health Informatics 22
- Public Health, Environmental and Occupational Health 382
- Toxicology 46
Countries citing papers authored by Matthew B. Carson
This map shows the geographic impact of Matthew B. Carson'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 Matthew B. Carson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew B. Carson more than expected).
Fields of papers citing papers by Matthew B. Carson
This network shows the impact of papers produced by Matthew B. Carson. 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 Matthew B. Carson. The network helps show where Matthew B. Carson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew B. Carson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome sequence of Streptococcus mutans UA159, a cariogenic dental pathogen Hit paper breakdown → | 2002 | 872 |
| 2 | 2005 | 182 | |
| 3 | 2017 | 157 | |
| 4 | 2005 | 85 | |
| 5 | 2010 | 67 | |
| 6 | 2017 | 66 | |
| 7 | 2017 | 52 | |
| 8 | 2015 | 45 | |
| 9 | 2014 | 34 | |
| 10 | 2004 | 32 | |
| 11 | 2010 | 30 | |
| 12 | 2011 | 25 | |
| 13 | 2015 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2007 | 16 | |
| 18 | 2016 | 13 | |
| 19 | 2013 | 11 | |
| 20 | 2014 | 11 |
About Matthew B. Carson
Matthew B. Carson is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Microbiology and Artificial Intelligence, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bioinformatics and Genomic Networks (6 papers), Machine Learning in Bioinformatics (5 papers), Protein Structure and Dynamics (4 papers), Genomics and Chromatin Dynamics (4 papers), Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Periodontics (448 citations), Microbiology (280 citations), Health Informatics (22 citations), Public Health, Environmental and Occupational Health (382 citations) and Toxicology (46 citations). Matthew B. Carson has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Hui Lü, Joseph J. Ferretti, Runying Tian, Shaoping Lin, Shuling Li, Hua Zhu, Yudong Qian, W. Michael McShan, Fares Z. Najar and Dragana Ajdić. Their work appears in journals such as PLoS Computational Biology, Journal of the American Medical Informatics Association, Journal of Bacteriology, IET Systems Biology and PLoS ONE.
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.