Stanton Martin
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
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- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
- Enzyme Catalysis and Immobilization
Papers in
-
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 2
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- Plant-Microbe Interactions and Immunity 2
- Plant Virus Research Studies 2
- Genetically Modified Organisms Research 1
- Co-authors
- Steven D. Brown (6 shared papers)Dawn M. Klingeman (4 shared papers)Miriam Land (4 shared papers)Shihui Yang (2 shared papers)Dale A. Pelletier (2 shared papers)Tse-Yuan S. Lu (2 shared papers)Timothy J. Tschaplinski (3 shared papers)Anthony V. Palumbo (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Archives of Virology (1 paper)BMC Genomics (1 paper)The ISME Journal (1 paper)Frontiers in Environmental Science (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Stanton Martin
17 papers receiving 585 citations
Peers
Comparison fields: 5 of 79
- Biotechnology 68
- Molecular Biology 358
- Biomedical Engineering 213
- Plant Science 154
- Ecology 68
Countries citing papers authored by Stanton Martin
This map shows the geographic impact of Stanton Martin'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 Stanton Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanton Martin more than expected).
Fields of papers citing papers by Stanton Martin
This network shows the impact of papers produced by Stanton Martin. 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 Stanton Martin. The network helps show where Stanton Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside Stanton Martin, 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 | 2009 | 117 | |
| 2 | 2012 | 113 | |
| 3 | 2010 | 93 | |
| 4 | 2013 | 63 | |
| 5 | 2013 | 43 | |
| 6 | 2009 | 42 | |
| 7 | 2014 | 30 | |
| 8 | 2008 | 19 | |
| 9 | 2004 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2011 | 11 | |
| 13 | 2013 | 8 | |
| 14 | 2022 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 |
About Stanton Martin
Stanton Martin is a scholar working on Molecular Biology, Plant Science, Ecology, Biomedical Engineering and Environmental Engineering, having authored 17 papers that have together received 591 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Biofuel production and bioconversion (3 papers), Plant and Fungal Interactions Research (2 papers), Plant-Microbe Interactions and Immunity (2 papers), RNA and protein synthesis mechanisms (2 papers), Plant Virus Research Studies (2 papers), Bacteriophages and microbial interactions (2 papers) and Genetically Modified Organisms Research (1 paper). The work is most often cited by research in Biotechnology (68 citations), Molecular Biology (358 citations), Biomedical Engineering (213 citations), Plant Science (154 citations) and Ecology (68 citations). Stanton Martin has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Steven D. Brown, Dawn M. Klingeman, Miriam Land, Shihui Yang, Dale A. Pelletier, Tse-Yuan S. Lu, Timothy J. Tschaplinski, Anthony V. Palumbo, Brian H. Davison and Sue Carroll. Their work appears in journals such as Journal of Bacteriology, Archives of Virology, BMC Genomics, The ISME Journal and Frontiers in Environmental Science.
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.