Sarah E. Haynes
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
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- Mass Spectrometry Techniques and Applications 7
- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Alexey I. Nesvizhskii (10 shared papers)Fengchao Yu (4 shared papers)Dmitry M. Avtonomov (3 shared papers)Guo Ci Teo (2 shared papers)Daniel A. Polasky (2 shared papers)Brent R. Martin (5 shared papers)Andy T. Kong (2 shared papers)Jaimeen D. Majmudar (4 shared papers)
- Journals
- Current Biology (2 papers)Journal of Proteome Research (2 papers)Molecular & Cellular Proteomics (2 papers)Analytical Chemistry (2 papers)eLife (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Sarah E. Haynes
19 papers receiving 996 citations
Sarah E. Haynes's Hit Papers
Peers
Comparison fields: 5 of 138
- Spectroscopy 344
- Molecular Biology 621
- Cell Biology 107
- Surfaces, Coatings and Films 39
- Ocean Engineering 68
Countries citing papers authored by Sarah E. Haynes
This map shows the geographic impact of Sarah E. Haynes'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 E. Haynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Haynes more than expected).
Fields of papers citing papers by Sarah E. Haynes
This network shows the impact of papers produced by Sarah E. Haynes. 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 E. Haynes. The network helps show where Sarah E. Haynes may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E. Haynes, 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 | IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs Hit paper breakdown → | 2021 | 228 |
| 2 | 2020 | 191 | |
| 3 | 2020 | 161 | |
| 4 | 2017 | 80 | |
| 5 | 2017 | 55 | |
| 6 | 2000 | 50 | |
| 7 | 2015 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2017 | 27 | |
| 12 | 2020 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 1978 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 12 | |
| 17 | 2018 | 9 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 0 |
About Sarah E. Haynes
Sarah E. Haynes is a scholar working on Molecular Biology, Spectroscopy, Cell Biology, Ocean Engineering and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cellular Mechanics and Interactions (3 papers), Polymer Surface Interaction Studies (2 papers) and Marine Biology and Environmental Chemistry (2 papers). The work is most often cited by research in Spectroscopy (344 citations), Molecular Biology (621 citations), Cell Biology (107 citations), Surfaces, Coatings and Films (39 citations) and Ocean Engineering (68 citations). Sarah E. Haynes has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Alexey I. Nesvizhskii, Fengchao Yu, Dmitry M. Avtonomov, Guo Ci Teo, Daniel A. Polasky, Brent R. Martin, Andy T. Kong, Jaimeen D. Majmudar, Daniel Geiszler and Sheila Brownlow. Their work appears in journals such as Current Biology, Journal of Proteome Research, Molecular & Cellular Proteomics, Analytical Chemistry and eLife.
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.