Derek A. Debe
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 2
- Glycosylation and Glycoproteins Research 1
- Machine Learning in Bioinformatics 1
- Genomics and Phylogenetic Studies 1
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- Enzyme Structure and Function 4
- Co-authors
- William A. Goddard (5 shared papers)James T. Metz (2 shared papers)Steven W. Muchmore (2 shared papers)Yvonne C. Martin (1 shared paper)Scott P. Brown (1 shared paper)Philip J. Hajduk (1 shared paper)Silvia Cavagnero (1 shared paper)Zhi Hao Zhou (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Proceedings of the National Academy of Sciences (2 papers)Computer applications in the biosciences (1 paper)The Journal of Physical Chemistry B (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United StatesAustriaItaly
In The Last Decade
Derek A. Debe
13 papers receiving 451 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 113
- Molecular Biology 368
- Materials Chemistry 190
- Spectroscopy 43
- Biophysics 11
Countries citing papers authored by Derek A. Debe
This map shows the geographic impact of Derek A. Debe'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 Derek A. Debe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek A. Debe more than expected).
Fields of papers citing papers by Derek A. Debe
This network shows the impact of papers produced by Derek A. Debe. 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 Derek A. Debe. The network helps show where Derek A. Debe may publish in the future.
Co-authors
The 18 scholars most cited alongside Derek A. Debe, 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 | 2008 | 123 | |
| 2 | 1998 | 94 | |
| 3 | 1999 | 91 | |
| 4 | 1999 | 47 | |
| 5 | 2006 | 32 | |
| 6 | 2006 | 22 | |
| 7 | 2002 | 21 | |
| 8 | 1999 | 20 | |
| 9 | 2005 | 9 | |
| 10 | 2013 | 7 | |
| 11 | 2007 | 1 | |
| 12 | 2008 | 1 | |
| 13 | 2006 | 1 |
About Derek A. Debe
Derek A. Debe is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Spectroscopy and Cell Biology, having authored 13 papers that have together received 469 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers), Enzyme Structure and Function (4 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (2 papers), Glycosylation and Glycoproteins Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (113 citations), Molecular Biology (368 citations), Materials Chemistry (190 citations), Spectroscopy (43 citations) and Biophysics (11 citations). Derek A. Debe has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include William A. Goddard, James T. Metz, Steven W. Muchmore, Yvonne C. Martin, Scott P. Brown, Philip J. Hajduk, Silvia Cavagnero, Zhi Hao Zhou, Sunney I. Chan and Michael W. W. Adams. Their work appears in journals such as Journal of Chemical Information and Modeling, Proceedings of the National Academy of Sciences, Computer applications in the biosciences, The Journal of Physical Chemistry B and Proteins Structure Function and Bioinformatics.
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.