David E. Konerding
Impact in
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- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in ⓘ
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- DNA and Nucleic Acid Chemistry 4
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 2
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- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 2
- Co-authors
- Frank DiMaio (1 shared paper)David Baker (1 shared paper)Michael D. Tyka (1 shared paper)Patrick Conway (1 shared paper)Kai Kohlhoff (2 shared papers)Morgan Lawrenz (1 shared paper)Russ B. Altman (1 shared paper)Gregory R. Bowman (1 shared paper)
- Journals
- Biochemistry (2 papers)IEEE Internet Computing (1 paper)Nature Chemistry (1 paper)Journal of Biomolecular NMR (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David E. Konerding
10 papers receiving 722 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 608
- Structural Biology 9
- Spectroscopy 95
- Computational Theory and Mathematics 84
- Cellular and Molecular Neuroscience 96
Countries citing papers authored by David E. Konerding
This map shows the geographic impact of David E. Konerding'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 David E. Konerding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Konerding more than expected).
Fields of papers citing papers by David E. Konerding
This network shows the impact of papers produced by David E. Konerding. 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 David E. Konerding. The network helps show where David E. Konerding may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Konerding, 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 | 2013 | 330 | |
| 2 | Relaxation of backbone bond geometry improves protein energy landscape modeling Hit paper breakdown → | 2013 | 288 |
| 3 | 1999 | 34 | |
| 4 | 2001 | 20 | |
| 5 | 2012 | 16 | |
| 6 | 1999 | 14 | |
| 7 | 1999 | 13 | |
| 8 | DRP: Dynamic Resource Provisioning | 2006 | 7 |
| 9 | Essential Grid Workflow Monitoring Elements | 2005 | 6 |
| 10 | 2002 | 1 |
About David E. Konerding
David E. Konerding is a scholar working on Molecular Biology, Computer Networks and Communications, Ecology, Information Systems and Information Systems and Management, having authored 10 papers that have together received 729 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (4 papers), Bacteriophages and microbial interactions (3 papers), Cloud Computing and Resource Management (2 papers), RNA and protein synthesis mechanisms (2 papers), Distributed and Parallel Computing Systems (2 papers), DNA Repair Mechanisms (2 papers), Scientific Computing and Data Management (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Molecular Biology (608 citations), Structural Biology (9 citations), Spectroscopy (95 citations), Computational Theory and Mathematics (84 citations) and Cellular and Molecular Neuroscience (96 citations). David E. Konerding has collaborated with scholars based in United States and Canada. Frequent co-authors include Frank DiMaio, David Baker, Michael D. Tyka, Patrick Conway, Kai Kohlhoff, Morgan Lawrenz, Russ B. Altman, Gregory R. Bowman, Vijay S. Pande and Diwakar Shukla. Their work appears in journals such as Biochemistry, IEEE Internet Computing, Nature Chemistry, Journal of Biomolecular NMR and Protein Science.
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.