László Sasi-Szabó
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Analytical Chemistry top 10%
- Analytical chemistry methods development
Papers in
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- Ion-surface interactions and analysis 3
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- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Júlia Balog (3 shared papers)Zoltán Takáts (3 shared papers)Reza Mirnezami (2 shared papers)László Damjanovich (2 shared papers)Kirill Veselkov (2 shared papers)Matthew R. Lewis (2 shared papers)Ara Darzi (2 shared papers)Jeremy K. Nicholson (2 shared papers)
- Journals
- Frontiers in Oncology (1 paper)Analytical Chemistry (1 paper)Science Translational Medicine (1 paper)Journal of Laparoendoscopic & Advanced Surgical Techniques (1 paper)Nature Metabolism (1 paper)
- Partner nations
- HungaryGermanyUnited Kingdom
In The Last Decade
László Sasi-Szabó
8 papers receiving 655 citations
László Sasi-Szabó's Hit Papers
Peers
Comparison fields: 5 of 89
- Spectroscopy 358
- Analytical Chemistry 48
- Molecular Biology 299
- Biophysics 23
- Computational Mechanics 73
Countries citing papers authored by László Sasi-Szabó
This map shows the geographic impact of László Sasi-Szabó'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 László Sasi-Szabó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Sasi-Szabó more than expected).
Fields of papers citing papers by László Sasi-Szabó
This network shows the impact of papers produced by László Sasi-Szabó. 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 László Sasi-Szabó. The network helps show where László Sasi-Szabó may publish in the future.
Co-authors
The 25 scholars most cited alongside László Sasi-Szabó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry Hit paper breakdown → | 2013 | 445 |
| 2 | 2010 | 175 | |
| 3 | 2022 | 21 | |
| 4 | 2023 | 9 | |
| 5 | 2006 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2021 | 2 | |
| 8 | 2012 | 2 |
About László Sasi-Szabó
László Sasi-Szabó is a scholar working on Computational Mechanics, Spectroscopy, Molecular Biology, Physiology and Immunology, having authored 8 papers that have together received 668 indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (3 papers), Mass Spectrometry Techniques and Applications (3 papers), interferon and immune responses (2 papers), Analytical chemistry methods development (2 papers), Adipose Tissue and Metabolism (2 papers), Inflammasome and immune disorders (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Spectroscopy (358 citations), Analytical Chemistry (48 citations), Molecular Biology (299 citations), Biophysics (23 citations) and Computational Mechanics (73 citations). László Sasi-Szabó has collaborated with scholars based in Hungary, Germany and United Kingdom. Frequent co-authors include Júlia Balog, Zoltán Takáts, Reza Mirnezami, László Damjanovich, Kirill Veselkov, Matthew R. Lewis, Ara Darzi, Jeremy K. Nicholson, Balázs Dezsö and Laura J. Muirhead. Their work appears in journals such as Frontiers in Oncology, Analytical Chemistry, Science Translational Medicine, Journal of Laparoendoscopic & Advanced Surgical Techniques and Nature Metabolism.
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.