Daniel K. Weber
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
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- Advanced NMR Techniques and Applications
Papers in
-
- Protein Structure and Dynamics 9
- DNA and Nucleic Acid Chemistry 5
- Lipid Membrane Structure and Behavior 4
- Ion channel regulation and function 4
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- Advanced NMR Techniques and Applications 9
- Co-authors
- Frances Separovic (9 shared papers)Marc‐Antoine Sani (8 shared papers)F. Richard Keene (5 shared papers)J. Grant Collins (5 shared papers)Gianluigi Veglia (12 shared papers)Tata Gopinath (9 shared papers)Sónia Troeira Henriques (1 shared paper)Matthew T. Downton (4 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (3 papers)Dalton Transactions (2 papers)Journal of the American Chemical Society (2 papers)Biophysical Journal (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Daniel K. Weber
29 papers receiving 451 citations
Peers
Comparison fields: 5 of 81
- Microbiology 67
- Spectroscopy 68
- Molecular Biology 280
- Molecular Medicine 17
- Oncology 87
Countries citing papers authored by Daniel K. Weber
This map shows the geographic impact of Daniel K. Weber'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 Daniel K. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Weber more than expected).
Fields of papers citing papers by Daniel K. Weber
This network shows the impact of papers produced by Daniel K. Weber. 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 Daniel K. Weber. The network helps show where Daniel K. Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. Weber, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 55 | |
| 2 | 2011 | 54 | |
| 3 | 2010 | 38 | |
| 4 | 2015 | 33 | |
| 5 | 2016 | 31 | |
| 6 | 2014 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 21 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2012 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 8 |
About Daniel K. Weber
Daniel K. Weber is a scholar working on Molecular Biology, Spectroscopy, Physiology, Materials Chemistry and Oncology, having authored 29 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (9 papers), Protein Structure and Dynamics (9 papers), DNA and Nucleic Acid Chemistry (5 papers), Alzheimer's disease research and treatments (4 papers), Lipid Membrane Structure and Behavior (4 papers), NMR spectroscopy and applications (4 papers), Ion channel regulation and function (4 papers) and Metal complexes synthesis and properties (4 papers). The work is most often cited by research in Microbiology (67 citations), Spectroscopy (68 citations), Molecular Biology (280 citations), Molecular Medicine (17 citations) and Oncology (87 citations). Daniel K. Weber has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Frances Separovic, Marc‐Antoine Sani, F. Richard Keene, J. Grant Collins, Gianluigi Veglia, Tata Gopinath, Sónia Troeira Henriques, Matthew T. Downton, Songlin Wang and Shenggen Yao. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Dalton Transactions, Journal of the American Chemical Society, Biophysical Journal and Methods in enzymology on CD-ROM/Methods in enzymology.
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.