Pierre Sabatier
- Molecular Biology
- Spectroscopy top 5%
- Immunology
- Oncology
- Computational Theory and Mathematics top 10%
- Co-authors
- Roman A. ZubarevChristian M. BeuschAmir Ata SaeiMassimiliano GaetaniSusanna L. LundströmZhe YangElias S.J. ArnérAlexey Chernobrovkin
- Topics
- Advanced Proteomics Techniques and Applications (12 papers)Mass Spectrometry Techniques and Applications (5 papers)Computational Drug Discovery Methods (5 papers)
In The Last Decade
Pierre Sabatier
35 papers receiving 642 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 415
- Spectroscopy 196
- Immunology 60
- Oncology 59
- Computational Theory and Mathematics 55
Countries citing papers authored by Pierre Sabatier
This map shows the geographic impact of Pierre Sabatier'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 Pierre Sabatier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Sabatier more than expected).
Fields of papers citing papers by Pierre Sabatier
This network shows the impact of papers produced by Pierre Sabatier. 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 Pierre Sabatier. The network helps show where Pierre Sabatier may publish in the future.
Co-authorship network of co-authors of Pierre Sabatier
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Sabatier. A scholar is included among the top collaborators of Pierre Sabatier 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 Pierre Sabatier. Pierre Sabatier 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 | Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomicsbreakdown → | 22 |
| 4 | 6 | |
| 5 | 36 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 14 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 48 | |
| 14 | 14 | |
| 15 | 73 | |
| 16 | 4 | |
| 17 | 46 | |
| 18 | 21 | |
| 19 | Simultaneous HPLC Determination of Lidocaine-Epinephrine-Tetracaine in a topical solution for pediatric anesthesia | 1 |
| 20 | [Mesothelial cell. Cytology. Cytochemistry. Immunocytochemistry. Contribution of immunolabelling to the cytodiagnosis of serous effusions with cells of mesothelial aspect]. | 1 |
About Pierre Sabatier
Pierre Sabatier is a scholar working on Geriatrics and Gerontology, Toxicology and Spectroscopy, having authored 36 papers that have together received 649 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Spectroscopy (196 citations), Molecular Biology (415 citations) and Toxicology (17 citations). Pierre Sabatier has collaborated with scholars based in Sweden, Russia and France. Frequent co-authors include Roman A. Zubarev, Christian M. Beusch, Amir Ata Saei, Massimiliano Gaetani, Susanna L. Lundström, Zhe Yang, Elias S.J. Arnér, Alexey Chernobrovkin, Qing Cheng and Ákos Végvári. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.