Seth Carbon
- Aging top 5%
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 11
- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 3
- Genomics and Phylogenetic Studies 2
- Microbial Metabolic Engineering and Bioproduction 1
- Cancer Research top 10%
- Genetics top 10%
- Plant Science top 10%
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- Semantic Web and Ontologies 3
- Advanced Graph Neural Networks 2
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- Research Data Management Practices 1
- Co-authors
- Chris MungallSuzanna LewisShengqiang ShuAmelia IrelandBrad MarshallMónica Muñoz-TorresKimberly Van AukenDavid P. Hill
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Seth Carbon
16 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 46
- Molecular Biology 1.2k
- Cancer Research 166
- Genetics 271
- Plant Science 270
Countries citing papers authored by Seth Carbon
This map shows the geographic impact of Seth Carbon'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 Seth Carbon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth Carbon more than expected).
Fields of papers citing papers by Seth Carbon
This network shows the impact of papers produced by Seth Carbon. 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 Seth Carbon. The network helps show where Seth Carbon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seth Carbon, 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 | 12 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 67 | |
| 6 | 2019 | 12 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 114 | |
| 10 | Planteome: A resource for Common Reference Ontologies and Applications for Plant Biology | 2016 | 2 |
| 11 | 2016 | 22 | |
| 12 | The Planteome project | 2016 | 1 |
| 13 | 2014 | 67 | |
| 14 | 2011 | 91 | |
| 15 | AmiGO: online access to ontology and annotation databreakdown → | 2008 | 1370 |
| 16 | Effect of interferon on Qa-1 expression. | 1983 | 1 |
About Seth Carbon
Seth Carbon is a scholar working on Aging, Molecular Biology, Immunology and Allergy, Artificial Intelligence and Information Systems and Management, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Bioinformatics and Genomic Networks (11 papers), Semantic Web and Ontologies (3 papers), Gene expression and cancer classification (3 papers), Advanced Graph Neural Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper) and Research Data Management Practices (1 paper). The work is most often cited by research in Aging (46 citations), Molecular Biology (1.2k citations), Cancer Research (166 citations), Genetics (271 citations) and Plant Science (270 citations). Seth Carbon has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Chris Mungall, Suzanna Lewis, Shengqiang Shu, Amelia Ireland, Brad Marshall, Mónica Muñoz-Torres, Kimberly Van Auken, David P. Hill, Benjamin M. Good and James P. Balhoff. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Nature Genetics, BMC Bioinformatics and Open Biology.
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.