Sarah A. Schwartz
- Spectroscopy top 0.5%
- Molecular Biology top 10%
- Computational Mechanics top 5%
- Analytical Chemistry top 5%
- Biomedical Engineering
- Co-authors
- Richard M. CaprioliPierre ChaurandMichelle L. ReyzerSteven A. TomsMahlon D. JohnsonRobert J. WeilBaogang XuDean Billheimer
- Topics
- Mass Spectrometry Techniques and Applications (10 papers)Advanced Proteomics Techniques and Applications (7 papers)Ion-surface interactions and analysis (5 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Sarah A. Schwartz
13 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Spectroscopy 1.5k
- Molecular Biology 1.1k
- Computational Mechanics 348
- Analytical Chemistry 91
- Biomedical Engineering 67
Countries citing papers authored by Sarah A. Schwartz
This map shows the geographic impact of Sarah A. Schwartz'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 Sarah A. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah A. Schwartz more than expected).
Fields of papers citing papers by Sarah A. Schwartz
This network shows the impact of papers produced by Sarah A. Schwartz. 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 Sarah A. Schwartz. The network helps show where Sarah A. Schwartz may publish in the future.
Co-authorship network of co-authors of Sarah A. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah A. Schwartz. A scholar is included among the top collaborators of Sarah A. Schwartz 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 Sarah A. Schwartz. Sarah A. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | Streamlining plant sample preparation: the use of high-throughput robotics to process echinacea samples for biomarker profiling by MALDI-TOF mass spectrometry. | 5 |
| 3 | 9 | |
| 4 | 127 | |
| 5 | 168 | |
| 6 | 8 | |
| 7 | 154 | |
| 8 | 281 | |
| 9 | 68 | |
| 10 | Profiling and imaging proteins in tissue sections by MS. | 66 |
| 11 | 114 | |
| 12 | Direct tissue analysis using matrix‐assisted laser desorption/ionization mass spectrometry: practical aspects of sample preparationbreakdown → | 502 |
| 13 | 181 |
About Sarah A. Schwartz
Sarah A. Schwartz is a scholar working on Spectroscopy, Computational Mechanics and Biophysics, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (10 papers), Advanced Proteomics Techniques and Applications (7 papers) and Ion-surface interactions and analysis (5 papers). The work is most often cited by research in Spectroscopy (1.5k citations), Computational Mechanics (348 citations) and Molecular Biology (1.1k citations). Sarah A. Schwartz has collaborated with scholars based in United States, China and France. Frequent co-authors include Richard M. Caprioli, Pierre Chaurand, Michelle L. Reyzer, Steven A. Toms, Mahlon D. Johnson, Robert J. Weil, Baogang Xu, Dean Billheimer, Anna C. Crecelius and Yu Shyr. Their work appears in journals such as Analytical Chemistry, Cancer Research and Clinical Cancer Research.
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.