Seth Just
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
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- Advanced Malware Detection Techniques
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Advanced Biosensing Techniques and Applications 1
- Advanced biosensing and bioanalysis techniques 1
- Bioinformatics and Genomic Networks 1
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Michael J. MacCoss (1 shared paper)Brian C. Searle (2 shared papers)Lindsay K. Pino (2 shared papers)Christian Hammer (1 shared paper)Alan Cleary (1 shared paper)Ting Huang (1 shared paper)Harendra Guturu (1 shared paper)Andrew Nichols (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)Molecular & Cellular Proteomics (1 paper)Digital Commons - USU (Utah State University) (1 paper)
- Partner nations
- United States
In The Last Decade
Seth Just
4 papers receiving 212 citations
Peers
Comparison fields: 5 of 65
- Spectroscopy 102
- Signal Processing 25
- Molecular Biology 117
- Applied Microbiology and Biotechnology 2
- Information Systems 20
Countries citing papers authored by Seth Just
This map shows the geographic impact of Seth Just'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 Just with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth Just more than expected).
Fields of papers citing papers by Seth Just
This network shows the impact of papers produced by Seth Just. 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 Just. The network helps show where Seth Just may publish in the future.
Co-authors
The 22 scholars most cited alongside Seth Just, 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 | 2020 | 182 | |
| 2 | 2011 | 29 | |
| 3 | 2023 | 3 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 |
About Seth Just
Seth Just is a scholar working on Molecular Biology, Spectroscopy, Information Systems, Signal Processing and Artificial Intelligence, having authored 5 papers that have together received 217 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Biosensors and Analytical Detection (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Security and Verification in Computing (1 paper), Bioinformatics and Genomic Networks (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Spectroscopy (102 citations), Signal Processing (25 citations), Molecular Biology (117 citations), Applied Microbiology and Biotechnology (2 citations) and Information Systems (20 citations). Seth Just has collaborated with scholars based in United States. Frequent co-authors include Michael J. MacCoss, Brian C. Searle, Lindsay K. Pino, Christian Hammer, Alan Cleary, Ting Huang, Harendra Guturu, Andrew Nichols, Xiaoyan Zhao and Ryan W. Benz. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics and Digital Commons - USU (Utah State University).
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.