Jean‐Charles Sanchez
- Molecular Biology top 0.5%
- Spectroscopy top 0.05%
- Epidemiology top 2%
- Immunology top 2%
- Physiology top 2%
- Co-authors
- Denis F. HochstrasserMarc R. WilkinsRon D. AppelPierre R. BurkhardAndrew A. GooleyGarry L. CorthalsChristian PasqualiKeith L. Williams
- Topics
- Advanced Proteomics Techniques and Applications (76 papers)Mass Spectrometry Techniques and Applications (41 papers)S100 Proteins and Annexins (25 papers)
- Partner nations
- SwitzerlandUnited StatesSpain
In The Last Decade
Jean‐Charles Sanchez
219 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 8.3k
- Spectroscopy 4.5k
- Epidemiology 1.1k
- Immunology 1.1k
- Physiology 997
Countries citing papers authored by Jean‐Charles Sanchez
This map shows the geographic impact of Jean‐Charles Sanchez'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 Jean‐Charles Sanchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Charles Sanchez more than expected).
Fields of papers citing papers by Jean‐Charles Sanchez
This network shows the impact of papers produced by Jean‐Charles Sanchez. 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 Jean‐Charles Sanchez. The network helps show where Jean‐Charles Sanchez may publish in the future.
Co-authorship network of co-authors of Jean‐Charles Sanchez
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Charles Sanchez. A scholar is included among the top collaborators of Jean‐Charles Sanchez 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 Jean‐Charles Sanchez. Jean‐Charles Sanchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 210 | |
| 9 | 21 | |
| 10 | 22 | |
| 11 | Strategies for proteomic analysis of blood glycated proteins | 0 |
| 12 | 58 | |
| 13 | 9 | |
| 14 | 397 | |
| 15 | 139 | |
| 16 | 471 | |
| 17 | 29 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 70 |
About Jean‐Charles Sanchez
Jean‐Charles Sanchez is a scholar working on Spectroscopy, Clinical Biochemistry and Molecular Biology, having authored 225 papers that have together received 13.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (76 papers), Mass Spectrometry Techniques and Applications (41 papers) and S100 Proteins and Annexins (25 papers). The work is most often cited by research in Spectroscopy (4.5k citations), Molecular Biology (8.3k citations) and Clinical Biochemistry (364 citations). Jean‐Charles Sanchez has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Denis F. Hochstrasser, Marc R. Wilkins, Ron D. Appel, Pierre R. Burkhard, Andrew A. Gooley, Garry L. Corthals, Christian Pasquali, Keith L. Williams, Florence Ravier and Loı̈c Dayon. Their work appears in journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.
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.