Jonathan C. Trinidad
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 1%
- Spectroscopy top 1%
- Physiology top 5%
- Co-authors
- Alma L. BurlingameRalf SchoepferAgnes ThalhammerDavid T. BarkanAndrej SăliChristian G. SpechtJames A. WellsSami Mahrus
- Topics
- Glycosylation and Glycoproteins Research (12 papers)Mass Spectrometry Techniques and Applications (10 papers)Advanced Proteomics Techniques and Applications (9 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Jonathan C. Trinidad
81 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 4.0k
- Cellular and Molecular Neuroscience 1.0k
- Cell Biology 825
- Spectroscopy 790
- Physiology 595
Countries citing papers authored by Jonathan C. Trinidad
This map shows the geographic impact of Jonathan C. Trinidad'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 C. Trinidad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Trinidad more than expected).
Fields of papers citing papers by Jonathan C. Trinidad
This network shows the impact of papers produced by Jonathan C. Trinidad. 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 C. Trinidad. The network helps show where Jonathan C. Trinidad may publish in the future.
Co-authorship network of co-authors of Jonathan C. Trinidad
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. Trinidad. A scholar is included among the top collaborators of Jonathan C. Trinidad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan C. Trinidad. Jonathan C. Trinidad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 45 | |
| 16 | 14 | |
| 17 | 19 | |
| 18 | 19 | |
| 19 | 177 | |
| 20 | 11 |
About Jonathan C. Trinidad
Jonathan C. Trinidad is a scholar working on Aging, Biochemistry and Spectroscopy, having authored 85 papers that have together received 5.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Mass Spectrometry Techniques and Applications (10 papers) and Advanced Proteomics Techniques and Applications (9 papers). The work is most often cited by research in Aging (294 citations), Molecular Biology (4.0k citations) and Cellular and Molecular Neuroscience (1.0k citations). Jonathan C. Trinidad has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alma L. Burlingame, Ralf Schoepfer, Agnes Thalhammer, David T. Barkan, Andrej Săli, Christian G. Specht, James A. Wells, Sami Mahrus, Della David and Cynthia Kenyon. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.