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
-
- Mass Spectrometry Techniques and Applications 3
- Analytical Chemistry and Chromatography 2
-
- Bioinformatics and Genomic Networks 1
- Co-authors
- H.B. Halsall (1 shared paper)Jeffrey L. Dage (1 shared paper)Kevin L. Duffin (1 shared paper)M.G. Chambers (1 shared paper)Michael J. Berna (1 shared paper)Peter G. Mitchell (1 shared paper)John E. Coutant (1 shared paper)Todd A. Gillespie (1 shared paper)
- Journals
- Biomarkers (1 paper)The AAPS Journal (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)Analytical Biochemistry (1 paper)Journal of Mass Spectrometry (1 paper)
- Partner nations
- United States
In The Last Decade
Brad Ackermann
6 papers receiving 249 citations
Peers
Comparison fields: 5 of 84
- Filtration and Separation 31
- Spectroscopy 136
- Analytical Chemistry 69
- Pharmacology 21
- Molecular Biology 98
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 | 164 | |
| 2 | 2006 | 42 | |
| 3 | 1998 | 31 | |
| 4 | 2022 | 13 | |
| 5 | 1996 | 9 | |
| 6 | 2005 | 9 |
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 268 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (3 papers), Analytical Chemistry and Chromatography (2 papers), Bioinformatics and Genomic Networks (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Computational Drug Discovery Methods (1 paper), Pesticide Residue Analysis and Safety (1 paper) and Chemical Reactions and Isotopes (1 paper). The work is most often cited by research in Filtration and Separation (31 citations), Spectroscopy (136 citations), Analytical Chemistry (69 citations), Pharmacology (21 citations) and Molecular Biology (98 citations). Brad Ackermann has collaborated with scholars based in United States. Frequent co-authors include H.B. Halsall, Jeffrey L. Dage, Kevin L. Duffin, M.G. Chambers, Michael J. Berna, Peter G. Mitchell, John E. Coutant, Todd A. Gillespie, James Stevens and Leah M. Helvering. Their work appears in journals such as Biomarkers, The AAPS Journal, Journal of the American Society for Mass Spectrometry, Analytical Biochemistry and Journal of Mass Spectrometry.
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.