Beverly B. DaGue
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Biochemistry top 10%
Papers in
- Spectroscopy 13
- Mass Spectrometry Techniques and Applications 10
- Analytical Chemistry and Chromatography 6
- Advanced Proteomics Techniques and Applications 3
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- Machine Learning in Bioinformatics 2
- S100 Proteins and Annexins 2
- Signaling Pathways in Disease 1
- Co-authors
- Richard M. Caprioli (13 shared papers)Pierre Chaurand (6 shared papers)William T. Moore (4 shared papers)Annie M. Ballatore (3 shared papers)Joachim G. Liehr (3 shared papers)Sanjay Srivastava (1 shared paper)William E. Seifert (1 shared paper)Satish K. Srivastava (1 shared paper)
- Journals
- PROTEOMICS (3 papers)Journal of Chromatography A (3 papers)Biochemistry (2 papers)Molecular Plant-Microbe Interactions (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Beverly B. DaGue
22 papers receiving 963 citations
Peers
Comparison fields: 5 of 89
- Spectroscopy 397
- Biochemistry 46
- Molecular Biology 485
- Biochemistry 46
- Toxicology 20
Countries citing papers authored by Beverly B. DaGue
This map shows the geographic impact of Beverly B. DaGue'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 Beverly B. DaGue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beverly B. DaGue more than expected).
Fields of papers citing papers by Beverly B. DaGue
This network shows the impact of papers produced by Beverly B. DaGue. 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 Beverly B. DaGue. The network helps show where Beverly B. DaGue may publish in the future.
Co-authors
The 25 scholars most cited alongside Beverly B. DaGue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 202 | |
| 2 | 2003 | 109 | |
| 3 | 2001 | 104 | |
| 4 | 2005 | 87 | |
| 5 | 1989 | 72 | |
| 6 | 1983 | 63 | |
| 7 | 1987 | 43 | |
| 8 | 1988 | 42 | |
| 9 | 2001 | 40 | |
| 10 | 1985 | 37 | |
| 11 | 1985 | 33 | |
| 12 | 2003 | 32 | |
| 13 | 1991 | 31 | |
| 14 | 1998 | 27 | |
| 15 | 2001 | 24 | |
| 16 | 1988 | 19 | |
| 17 | 2008 | 15 | |
| 18 | 2002 | 15 | |
| 19 | 1988 | 15 | |
| 20 | 1997 | 9 |
About Beverly B. DaGue
Beverly B. DaGue is a scholar working on Spectroscopy, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Analytical Chemistry, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (10 papers), Analytical Chemistry and Chromatography (6 papers), Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers), Hormonal and reproductive studies (2 papers), S100 Proteins and Annexins (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Spectroscopy (397 citations), Biochemistry (46 citations), Molecular Biology (485 citations), Biochemistry (46 citations) and Toxicology (20 citations). Beverly B. DaGue has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Richard M. Caprioli, Pierre Chaurand, William T. Moore, Annie M. Ballatore, Joachim G. Liehr, Sanjay Srivastava, William E. Seifert, Satish K. Srivastava, Lifei Wang and Aruni Bhatnagar. Their work appears in journals such as PROTEOMICS, Journal of Chromatography A, Biochemistry, Molecular Plant-Microbe Interactions and Endocrinology.
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.