Sheldon Dennis
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
- DNA and Nucleic Acid Chemistry
Papers in
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- Protein Structure and Dynamics 8
- Enzyme Catalysis and Immobilization 1
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- Enzyme Structure and Function 7
- Co-authors
- Sándor Vajda (8 shared papers)Tamás Körtvélyesi (4 shared papers)Enrico O. Purisima (4 shared papers)Traian Sulea (2 shared papers)Sathesh Bhat (1 shared paper)Imran Siddiqi (1 shared paper)Piotr Drabik (1 shared paper)Araz Jakalian (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Human Molecular Genetics (2 papers)The Journal of Physical Chemistry B (1 paper)Journal of Computational Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesHungaryCanada
In The Last Decade
Sheldon Dennis
12 papers receiving 701 citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 237
- Molecular Biology 523
- Virology 16
- Materials Chemistry 153
- Organic Chemistry 92
Countries citing papers authored by Sheldon Dennis
This map shows the geographic impact of Sheldon Dennis'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 Sheldon Dennis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheldon Dennis more than expected).
Fields of papers citing papers by Sheldon Dennis
This network shows the impact of papers produced by Sheldon Dennis. 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 Sheldon Dennis. The network helps show where Sheldon Dennis may publish in the future.
Co-authors
The 20 scholars most cited alongside Sheldon Dennis, 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 | 352 | |
| 2 | 2002 | 104 | |
| 3 | 2003 | 64 | |
| 4 | 2000 | 61 | |
| 5 | 2003 | 49 | |
| 6 | 2009 | 23 | |
| 7 | 2003 | 19 | |
| 8 | 2006 | 16 | |
| 9 | 2000 | 15 | |
| 10 | 2001 | 6 | |
| 11 | 2000 | 2 | |
| 12 | 2006 | 1 |
About Sheldon Dennis
Sheldon Dennis is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 712 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (5 papers), Hormonal and reproductive studies (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Estrogen and related hormone effects (1 paper), Prostate Cancer Treatment and Research (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (237 citations), Molecular Biology (523 citations), Virology (16 citations), Materials Chemistry (153 citations) and Organic Chemistry (92 citations). Sheldon Dennis has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Sándor Vajda, Tamás Körtvélyesi, Enrico O. Purisima, Traian Sulea, Sathesh Bhat, Imran Siddiqi, Piotr Drabik, Araz Jakalian, Shafinaz F. Chowdhury and Kathryn N. Rankin. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Human Molecular Genetics, The Journal of Physical Chemistry B, Journal of Computational Chemistry and Journal of Chemical Information and Modeling.
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.