Paul Courchesne
- Molecular Biology top 10%
- Immunology top 5%
- Spectroscopy top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Co-authors
- Daniel LevyMartin G. LarsonJennifer E. HoScott D. PattersonChunyu LiuAsya LyassRamachandran S. VasanMichael J. Pencina
- Topics
- Metabolomics and Mass Spectrometry Studies (11 papers)Mass Spectrometry Techniques and Applications (7 papers)Advanced Proteomics Techniques and Applications (7 papers)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Paul Courchesne
47 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Immunology 475
- Spectroscopy 424
- Cardiology and Cardiovascular Medicine 419
- Physiology 296
Countries citing papers authored by Paul Courchesne
This map shows the geographic impact of Paul Courchesne'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 Paul Courchesne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Courchesne more than expected).
Fields of papers citing papers by Paul Courchesne
This network shows the impact of papers produced by Paul Courchesne. 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 Paul Courchesne. The network helps show where Paul Courchesne may publish in the future.
Co-authorship network of co-authors of Paul Courchesne
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Courchesne. A scholar is included among the top collaborators of Paul Courchesne 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 Paul Courchesne. Paul Courchesne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 101 | |
| 9 | 63 | |
| 10 | 32 | |
| 11 | Abstract 18806: Integrated Proteomic Analysis of Cardiovascular Disease Reveals Novel Protein Quantitative Trait Loci | 1 |
| 12 | Abstract 19305: Higher Levels of Beta-2 Microglobulin Predict Incident Hypertension | 1 |
| 13 | 121 | |
| 14 | 16 | |
| 15 | 457 | |
| 16 | 18 | |
| 17 | 258 | |
| 18 | 19 | |
| 19 | 33 | |
| 20 | 9 |
About Paul Courchesne
Paul Courchesne is a scholar working on Spectroscopy, Cancer Research and Immunology, having authored 49 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Mass Spectrometry Techniques and Applications (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). The work is most often cited by research in Spectroscopy (424 citations), Immunology (475 citations) and Cardiology and Cardiovascular Medicine (419 citations). Paul Courchesne has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Daniel Levy, Martin G. Larson, Jennifer E. Ho, Scott D. Patterson, Chunyu Liu, Asya Lyass, Ramachandran S. Vasan, Michael J. Pencina, Roland Luethy and Shih‐Jen Hwang. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.
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.