Gabriel E. Wagner
Impact in
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
- Molecular spectroscopy and chirality
- Nuclear and High Energy Physics top 10%
- NMR spectroscopy and applications
Papers in
-
- Genomics and Phylogenetic Studies 7
- Protein Structure and Dynamics 5
- Epidemiology 19
- Burkholderia infections and melioidosis 12
- Co-authors
- T. Kwaku Dayie (3 shared papers)Jeffrey W. Peng (1 shared paper)J.-F. Lefèvre (1 shared paper)Klaus Zangger (16 shared papers)Wolfgang Bermel (2 shared papers)Peyman Sakhaii (2 shared papers)Ivo Steinmetz (21 shared papers)Sabine Lichtenegger (13 shared papers)
In The Last Decade
Gabriel E. Wagner
49 papers receiving 979 citations
Peers
Comparison fields: 5 of 95
- Spectroscopy 225
- Nuclear and High Energy Physics 147
- Microbiology 62
- Endocrinology 43
- Molecular Biology 492
Countries citing papers authored by Gabriel E. Wagner
This map shows the geographic impact of Gabriel E. Wagner'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 Gabriel E. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel E. Wagner more than expected).
Fields of papers citing papers by Gabriel E. Wagner
This network shows the impact of papers produced by Gabriel E. Wagner. 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 Gabriel E. Wagner. The network helps show where Gabriel E. Wagner may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel E. Wagner, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 214 | |
| 2 | 1994 | 131 | |
| 3 | 2013 | 52 | |
| 4 | 2014 | 49 | |
| 5 | 2013 | 45 | |
| 6 | 2012 | 45 | |
| 7 | 2023 | 38 | |
| 8 | 2012 | 32 | |
| 9 | 2015 | 29 | |
| 10 | 2013 | 23 | |
| 11 | 1995 | 23 | |
| 12 | 2018 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2022 | 20 | |
| 15 | 1995 | 20 | |
| 16 | 2024 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2024 | 15 | |
| 19 | 2018 | 13 | |
| 20 | 2019 | 11 |
About Gabriel E. Wagner
Gabriel E. Wagner is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Spectroscopy and Endocrinology, having authored 49 papers that have together received 997 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (12 papers), Genomics and Phylogenetic Studies (7 papers), Vibrio bacteria research studies (5 papers), Antibiotic Resistance in Bacteria (5 papers), Advanced NMR Techniques and Applications (5 papers), Protein Structure and Dynamics (5 papers), NMR spectroscopy and applications (5 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Spectroscopy (225 citations), Nuclear and High Energy Physics (147 citations), Microbiology (62 citations), Endocrinology (43 citations) and Molecular Biology (492 citations). Gabriel E. Wagner has collaborated with scholars based in Austria, Germany and Vietnam. Frequent co-authors include T. Kwaku Dayie, Jeffrey W. Peng, J.-F. Lefèvre, Klaus Zangger, Wolfgang Bermel, Peyman Sakhaii, Ivo Steinmetz, Sabine Lichtenegger, Judith Habazettl and Rainer Kerssebaum. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Magnetic Resonance Series B, PLoS neglected tropical diseases, Molecular Microbiology and Frontiers in Microbiology.
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.