Lívia S. Eberlin
- Spectroscopy top 0.05%
- Mass Spectrometry Techniques and Applications 88
- Advanced Proteomics Techniques and Applications 29
- Analytical Chemistry and Chromatography 25
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development 6
- Computational Mechanics top 0.5%
- Ion-surface interactions and analysis 22
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 48
- Molecular Biology Techniques and Applications 6
- Biophysics top 1%
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- Advanced Chemical Sensor Technologies 5
- Co-authors
- R. Graham CooksDemian R. IfaAllison L. DillClara L. FeiderChristina R. FerreiraRachel J. DeHoogJialing ZhangChunping Wu
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Journal of the American Chemical Society (3 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Lívia S. Eberlin
112 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Spectroscopy 4.9k
- Analytical Chemistry 647
- Computational Mechanics 1.2k
- Molecular Biology 3.5k
- Biophysics 267
Countries citing papers authored by Lívia S. Eberlin
This map shows the geographic impact of Lívia S. Eberlin'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 Lívia S. Eberlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lívia S. Eberlin more than expected).
Fields of papers citing papers by Lívia S. Eberlin
This network shows the impact of papers produced by Lívia S. Eberlin. 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 Lívia S. Eberlin. The network helps show where Lívia S. Eberlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lívia S. Eberlin, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 50 | |
| 7 | 2020 | 24 | |
| 8 | 2019 | 45 | |
| 9 | 2019 | 40 | |
| 10 | 2018 | 69 | |
| 11 | 2017 | 300 | |
| 12 | 2016 | 65 | |
| 13 | 2016 | 23 | |
| 14 | 2016 | 77 | |
| 15 | 2013 | 100 | |
| 16 | 2013 | 66 | |
| 17 | 2012 | 45 | |
| 18 | 2011 | 241 | |
| 19 | 2010 | 53 | |
| 20 | 2008 | 64 |
About Lívia S. Eberlin
Lívia S. Eberlin is a scholar working on Spectroscopy, Computational Mechanics and Molecular Biology, having authored 116 papers that have together received 6.9k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (88 papers), Metabolomics and Mass Spectrometry Studies (48 papers), Advanced Proteomics Techniques and Applications (29 papers), Analytical Chemistry and Chromatography (25 papers), Ion-surface interactions and analysis (22 papers), Analytical chemistry methods development (6 papers), Molecular Biology Techniques and Applications (6 papers) and Advanced Chemical Sensor Technologies (5 papers). The work is most often cited by research in Spectroscopy (4.9k citations), Analytical Chemistry (647 citations) and Computational Mechanics (1.2k citations). Lívia S. Eberlin has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include R. Graham Cooks, Demian R. Ifa, Allison L. Dill, Clara L. Feider, Christina R. Ferreira, Rachel J. DeHoog, Jialing Zhang, Chunping Wu, Anna Krieger and Marta Sans. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.