Jeffrey M. Spraggins
- Spectroscopy top 0.2%
- Mass Spectrometry Techniques and Applications 65
- Advanced Proteomics Techniques and Applications 27
- Analytical Chemistry and Chromatography 16
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research 7
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 45
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 6
- Computational Mechanics top 2%
- Ion-surface interactions and analysis 11
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- MRI in cancer diagnosis 5
- Co-authors
- Richard M. CaprioliRaf Van de PlasElizabeth K. NeumannKaterina DjambazovaDaniel J. RyanEric P. SkaarJunhai YangKevin L. Schey
- Journals
- Nature (1 paper)Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Jeffrey M. Spraggins
99 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 139
- Spectroscopy 2.2k
- Biophysics 291
- Molecular Biology 2.4k
- Clinical Biochemistry 172
- Computational Mechanics 393
Countries citing papers authored by Jeffrey M. Spraggins
This map shows the geographic impact of Jeffrey M. Spraggins'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 Jeffrey M. Spraggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Spraggins more than expected).
Fields of papers citing papers by Jeffrey M. Spraggins
This network shows the impact of papers produced by Jeffrey M. Spraggins. 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 Jeffrey M. Spraggins. The network helps show where Jeffrey M. Spraggins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey M. Spraggins, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 44 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 33 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 19 | |
| 16 | 2020 | 43 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 5 | |
| 19 | 2019 | 57 | |
| 20 | 2018 | 57 |
About Jeffrey M. Spraggins
Jeffrey M. Spraggins is a scholar working on Spectroscopy, Biophysics and Clinical Biochemistry, having authored 105 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (65 papers), Metabolomics and Mass Spectrometry Studies (45 papers), Advanced Proteomics Techniques and Applications (27 papers), Analytical Chemistry and Chromatography (16 papers), Ion-surface interactions and analysis (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Bacterial Identification and Susceptibility Testing (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Spectroscopy (2.2k citations), Biophysics (291 citations) and Molecular Biology (2.4k citations). Jeffrey M. Spraggins has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Richard M. Caprioli, Raf Van de Plas, Elizabeth K. Neumann, Katerina Djambazova, Daniel J. Ryan, Eric P. Skaar, Junhai Yang, Kevin L. Schey, Lukasz G. Migas and Emilio Rivera. Their work appears in journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.