Brad Ackermann
Impact in
- Filtration and Separation top 5%
- Chemical and Physical Properties in Aqueous Solutions
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
Papers in
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- Mass Spectrometry Techniques and Applications 3
- Analytical Chemistry and Chromatography 2
- Advanced Proteomics Techniques and Applications 1
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- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- Jeffrey L. Dage (1 shared paper)H.B. Halsall (1 shared paper)Peter G. Mitchell (1 shared paper)M.G. Chambers (1 shared paper)Michael J. Berna (1 shared paper)Kevin L. Duffin (1 shared paper)Rick C. Steenwyk (1 shared paper)Mark E. Arnold (1 shared paper)
- Journals
- The AAPS Journal (1 paper)Analytical Biochemistry (1 paper)Journal of Mass Spectrometry (1 paper)Glycobiology (1 paper)Biomarkers (1 paper)
- Partner nations
- United StatesArgentinaCanada
In The Last Decade
Brad Ackermann
6 papers receiving 265 citations
Peers
Comparison fields: 5 of 83
- Filtration and Separation 31
- Spectroscopy 145
- Analytical Chemistry 72
- Pharmacology 21
- Molecular Biology 103
Countries citing papers authored by Brad Ackermann
This map shows the geographic impact of Brad Ackermann'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 Brad Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad Ackermann more than expected).
Fields of papers citing papers by Brad Ackermann
This network shows the impact of papers produced by Brad Ackermann. 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 Brad Ackermann. The network helps show where Brad Ackermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad Ackermann, 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 | 2007 | 173 | |
| 2 | 2006 | 45 | |
| 3 | 1998 | 33 | |
| 4 | 2022 | 17 | |
| 5 | 2005 | 10 | |
| 6 | 1996 | 10 |
About Brad Ackermann
Brad Ackermann is a scholar working on Spectroscopy, Molecular Biology, Pharmacology, Pharmaceutical Science and Computational Theory and Mathematics, having authored 6 papers that have together received 288 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (3 papers), Analytical Chemistry and Chromatography (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Computational Drug Discovery Methods (1 paper), Gene expression and cancer classification (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Filtration and Separation (31 citations), Spectroscopy (145 citations), Analytical Chemistry (72 citations), Pharmacology (21 citations) and Molecular Biology (103 citations). Brad Ackermann has collaborated with scholars based in United States, Argentina and Canada. Frequent co-authors include Jeffrey L. Dage, H.B. Halsall, Peter G. Mitchell, M.G. Chambers, Michael J. Berna, Kevin L. Duffin, Rick C. Steenwyk, Mark E. Arnold, Omar Laterza and Yan Mao. Their work appears in journals such as The AAPS Journal, Analytical Biochemistry, Journal of Mass Spectrometry, Glycobiology and Biomarkers.
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.