James Go
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Cancer-related gene regulation 1
- Microbial Metabolic Engineering and Bioproduction 1
- Genetics 2
- Insect and Arachnid Ecology and Behavior 1
- Genetic Syndromes and Imprinting 1
- Co-authors
- Vidya Venkatraman (2 shared papers)Jennifer E. Van Eyk (2 shared papers)José M. Mato (1 shared paper)Nicholas A. Furlotte (1 shared paper)Anatole Ghazalpour (1 shared paper)Huwenbo Shi (1 shared paper)Charles R. Farber (1 shared paper)Liudmilla Rubbi (1 shared paper)
- Journals
- Pediatric Research (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Clinical Chemistry (1 paper)Diabetes (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesPhilippinesGermany
In The Last Decade
James Go
7 papers receiving 172 citations
Peers
Comparison fields: 5 of 54
- Aging 14
- Spectroscopy 30
- Genetics 39
- Molecular Biology 89
- Insect Science 12
Countries citing papers authored by James Go
This map shows the geographic impact of James Go'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 James Go with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Go more than expected).
Fields of papers citing papers by James Go
This network shows the impact of papers produced by James Go. 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 James Go. The network helps show where James Go may publish in the future.
Co-authors
The 25 scholars most cited alongside James Go, 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 | 2015 | 71 | |
| 2 | 2021 | 42 | |
| 3 | 2020 | 25 | |
| 4 | 2014 | 25 | |
| 5 | 1997 | 6 | |
| 6 | 1997 | 4 | |
| 7 | 2018 | 1 |
About James Go
James Go is a scholar working on Molecular Biology, Genetics, Spectroscopy, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis, having authored 7 papers that have together received 174 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Epigenetics and DNA Methylation (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Cancer-related gene regulation (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Aging (14 citations), Spectroscopy (30 citations), Genetics (39 citations), Molecular Biology (89 citations) and Insect Science (12 citations). James Go has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Vidya Venkatraman, Jennifer E. Van Eyk, José M. Mato, Nicholas A. Furlotte, Anatole Ghazalpour, Huwenbo Shi, Charles R. Farber, Liudmilla Rubbi, Weilong Guo and Brian J. Bennett. Their work appears in journals such as Pediatric Research, Journal of the American Society for Mass Spectrometry, Clinical Chemistry, Diabetes and Cell Metabolism.
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.