Jesse D. Canterbury
- Molecular Biology top 5%
- Spectroscopy top 0.5%
- Cell Biology top 10%
- Oncology
- Immunology
- Co-authors
- Michael J. MacCossWilliam Stafford NobleLukas KällJason WestonMichael W. SenkoAlan G. MarshallShenheng GuanVlad Zabrouskov
- Topics
- Advanced Proteomics Techniques and Applications (18 papers)Mass Spectrometry Techniques and Applications (17 papers)Metabolomics and Mass Spectrometry Studies (9 papers)
- Cited by
- SpectroscopyMolecular BiologyAging
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Jesse D. Canterbury
27 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.8k
- Spectroscopy 1.4k
- Cell Biology 140
- Oncology 134
- Immunology 128
Countries citing papers authored by Jesse D. Canterbury
This map shows the geographic impact of Jesse D. Canterbury'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 Jesse D. Canterbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse D. Canterbury more than expected).
Fields of papers citing papers by Jesse D. Canterbury
This network shows the impact of papers produced by Jesse D. Canterbury. 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 Jesse D. Canterbury. The network helps show where Jesse D. Canterbury may publish in the future.
Co-authorship network of co-authors of Jesse D. Canterbury
This figure shows the co-authorship network connecting the top 25 collaborators of Jesse D. Canterbury. A scholar is included among the top collaborators of Jesse D. Canterbury 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 Jesse D. Canterbury. Jesse D. Canterbury 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 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 58 | |
| 11 | 31 | |
| 12 | 221 | |
| 13 | 181 | |
| 14 | Multiplexed Data Independent Acquisition for Comparative Proteomics | 1 |
| 15 | 14 | |
| 16 | Semi-supervised learning for peptide identification from shotgun proteomics datasetsbreakdown → | 1659 |
| 17 | Characterization and Production Metrology of Gate Dielectric Films: Optical Models for Oxynitrides and High Dielectric Constant Films | 2 |
| 18 | 2 | |
| 19 | 230 | |
| 20 | 15 |
About Jesse D. Canterbury
Jesse D. Canterbury is a scholar working on Spectroscopy, Molecular Biology and Biophysics, having authored 30 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Spectroscopy (1.4k citations), Molecular Biology (1.8k citations) and Aging (15 citations). Jesse D. Canterbury has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Michael J. MacCoss, William Stafford Noble, Lukas Käll, Jason Weston, Michael W. Senko, Alan G. Marshall, Shenheng Guan, Vlad Zabrouskov, Christine C. Wu and Michael R. Hoopmann. Their work appears in journals such as Analytical Chemistry, Nature Methods and Molecular & Cellular Proteomics.
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.