Jonathan Goya
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Sphingolipid Metabolism and Signaling
- Metabolomics and Mass Spectrometry Studies
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Lipid Membrane Structure and Behavior
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Sphingolipid Metabolism and Signaling 6
- Lipid Membrane Structure and Behavior 3
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
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- Lysosomal Storage Disorders Research 2
- Co-authors
- Viswanathan Natarajan (5 shared papers)Evgeny Berdyshev (6 shared papers)Sean R. Hackett (1 shared paper)Junyoung O. Park (1 shared paper)John D. Storey (1 shared paper)David Botstein (1 shared paper)Wenxin Xu (1 shared paper)Patrick A. Gibney (1 shared paper)
- Journals
- Analytical Biochemistry (1 paper)The FASEB Journal (1 paper)Journal of Biological Chemistry (1 paper)Nucleic Acids Research (1 paper)Science (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Jonathan Goya
9 papers receiving 468 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 387
- Spectroscopy 79
- Cell Biology 47
- Biochemistry 18
- Physiology 52
Countries citing papers authored by Jonathan Goya
This map shows the geographic impact of Jonathan Goya'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 Jonathan Goya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Goya more than expected).
Fields of papers citing papers by Jonathan Goya
This network shows the impact of papers produced by Jonathan Goya. 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 Jonathan Goya. The network helps show where Jonathan Goya may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Goya, 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 | 2016 | 212 | |
| 2 | 2010 | 70 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 35 | |
| 5 | 2012 | 34 | |
| 6 | 2014 | 26 | |
| 7 | 2013 | 23 | |
| 8 | 2015 | 19 | |
| 9 | 2010 | 1 | |
| 10 | 2011 | 1 |
About Jonathan Goya
Jonathan Goya is a scholar working on Molecular Biology, Physiology, Spectroscopy, Immunology and Surgery, having authored 10 papers that have together received 469 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Lysosomal Storage Disorders Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Gene expression and cancer classification (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Molecular Biology (387 citations), Spectroscopy (79 citations), Cell Biology (47 citations), Biochemistry (18 citations) and Physiology (52 citations). Jonathan Goya has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Viswanathan Natarajan, Evgeny Berdyshev, Sean R. Hackett, Junyoung O. Park, John D. Storey, David Botstein, Wenxin Xu, Patrick A. Gibney, Joshua D. Rabinowitz and Vito Riccardo Tomaso Zanotelli. Their work appears in journals such as Analytical Biochemistry, The FASEB Journal, Journal of Biological Chemistry, Nucleic Acids Research and 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.