Daniel W. Kneller
Impact in
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- Computational Drug Discovery Methods
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
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- Protein Structure and Dynamics 10
- RNA and protein synthesis mechanisms 7
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- HIV/AIDS drug development and treatment 9
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Andrey Kovalevsky (19 shared papers)Leighton Coates (14 shared papers)G.N. Phillips (8 shared papers)Hugh O’Neill (3 shared papers)A. Joachimiak (2 shared papers)Paul Langan (1 shared paper)Lucy Stols (1 shared paper)R. Jedrzejczak (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Medicinal Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Molecular Graphics and Modelling (2 papers)IUCrJ (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daniel W. Kneller
30 papers receiving 1.1k citations
Daniel W. Kneller's Hit Papers
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 577
- Infectious Diseases 532
- Virology 87
- Molecular Biology 482
- Organic Chemistry 195
Countries citing papers authored by Daniel W. Kneller
This map shows the geographic impact of Daniel W. Kneller'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 W. Kneller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Kneller more than expected).
Fields of papers citing papers by Daniel W. Kneller
This network shows the impact of papers produced by Daniel W. Kneller. 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 W. Kneller. The network helps show where Daniel W. Kneller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Kneller, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural plasticity of SARS-CoV-2 3CL Mpro active site cavity revealed by room temperature X-ray crystallography Hit paper breakdown → | 2020 | 344 |
| 2 | 2022 | 99 | |
| 3 | 2020 | 96 | |
| 4 | 2015 | 57 | |
| 5 | 2020 | 49 | |
| 6 | 2021 | 45 | |
| 7 | 2021 | 44 | |
| 8 | 2020 | 44 | |
| 9 | 2022 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2023 | 18 | |
| 17 | 2020 | 15 | |
| 18 | 1984 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 14 |
About Daniel W. Kneller
Daniel W. Kneller is a scholar working on Molecular Biology, Infectious Diseases, Virology, Computational Theory and Mathematics and Epidemiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), HIV/AIDS drug development and treatment (9 papers), HIV Research and Treatment (9 papers), Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), RNA and protein synthesis mechanisms (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Computational Theory and Mathematics (577 citations), Infectious Diseases (532 citations), Virology (87 citations), Molecular Biology (482 citations) and Organic Chemistry (195 citations). Daniel W. Kneller has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Andrey Kovalevsky, Leighton Coates, G.N. Phillips, Hugh O’Neill, A. Joachimiak, Paul Langan, Lucy Stols, R. Jedrzejczak, Irene T. Weber and Kevin L. Weiss. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Journal of Molecular Graphics and Modelling and IUCrJ.
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.