Chad R. Weisbrod
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications 25
- Advanced Proteomics Techniques and Applications 15
- Analytical Chemistry and Chromatography 9
- Analytical Chemistry top 2%
- Petroleum Processing and Analysis 6
- Molecular Medicine top 5%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 6
- Protein Structure and Dynamics 4
- Cell Biology top 10%
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- Hydrocarbon exploration and reservoir analysis 7
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- Ion-surface interactions and analysis 4
- Co-authors
- James E. BruceJimmy K. EngJuan D. ChavezChunxiang ZhengMichael R. HoopmannGreg T. BlakneyNathan K. KaiserChristopher L. Hendrickson
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)Environmental Science & Technology (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Chad R. Weisbrod
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Spectroscopy 907
- Analytical Chemistry 219
- Molecular Medicine 80
- Molecular Biology 895
- Cell Biology 130
Countries citing papers authored by Chad R. Weisbrod
This map shows the geographic impact of Chad R. Weisbrod'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 Chad R. Weisbrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad R. Weisbrod more than expected).
Fields of papers citing papers by Chad R. Weisbrod
This network shows the impact of papers produced by Chad R. Weisbrod. 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 Chad R. Weisbrod. The network helps show where Chad R. Weisbrod may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chad R. Weisbrod, 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 | 2024 | 2 | |
| 2 | 2023 | 54 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 31 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 26 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 50 | |
| 12 | 2018 | 21 | |
| 13 | 2015 | 36 | |
| 14 | 2013 | 119 | |
| 15 | 2013 | 91 | |
| 16 | 2013 | 21 | |
| 17 | 2011 | 78 | |
| 18 | 2011 | 25 | |
| 19 | 2010 | 8 | |
| 20 | 2008 | 7 |
About Chad R. Weisbrod
Chad R. Weisbrod is a scholar working on Spectroscopy, Analytical Chemistry and Process Chemistry and Technology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (25 papers), Advanced Proteomics Techniques and Applications (15 papers), Analytical Chemistry and Chromatography (9 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Petroleum Processing and Analysis (6 papers), Protein Structure and Dynamics (4 papers) and Ion-surface interactions and analysis (4 papers). The work is most often cited by research in Spectroscopy (907 citations), Analytical Chemistry (219 citations) and Molecular Medicine (80 citations). Chad R. Weisbrod has collaborated with scholars based in United States, France and Canada. Frequent co-authors include James E. Bruce, Jimmy K. Eng, Juan D. Chavez, Chunxiang Zheng, Michael R. Hoopmann, Greg T. Blakney, Nathan K. Kaiser, Christopher L. Hendrickson, Alan G. Marshall and Yang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology.
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.