David E. Konerding
Impact in
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- Scientific Computing and Data Management
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- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
Papers in
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- Scientific Computing and Data Management 5
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 5
- Co-authors
- Patrick B. Conway (1 shared paper)Michael Dominik Tyka (1 shared paper)David Baker (1 shared paper)Frank DiMaio (1 shared paper)Kai Kohlhoff (2 shared papers)Dan Belov (1 shared paper)Russ Biagio Altman (1 shared paper)Morgan Lawrenz (1 shared paper)
- Journals
- Biochemistry (2 papers)IEEE Internet Computing (1 paper)Nature Chemistry (1 paper)Protein Science (1 paper)Journal of Biomolecular NMR (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David E. Konerding
14 papers receiving 932 citations
Peers
Comparison fields: 5 of 104
- Information Systems and Management 79
- Molecular Biology 648
- Computer Networks and Communications 171
- Hardware and Architecture 46
- Spectroscopy 105
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 | 356 | |
| 2 | 2013 | 334 | |
| 3 | 2004 | 94 | |
| 4 | 2004 | 47 | |
| 5 | 1999 | 33 | |
| 6 | 2001 | 20 | |
| 7 | 2012 | 19 | |
| 8 | 1999 | 16 | |
| 9 | 1999 | 14 | |
| 10 | DRP: Dynamic Resource Provisioning | 2006 | 8 |
| 11 | 2007 | 8 | |
| 12 | Essential Grid Workflow Monitoring Elements | 2005 | 7 |
| 13 | 2002 | 2 | |
| 14 | 1997 | 1 |
About David E. Konerding
David E. Konerding is a scholar working on Information Systems and Management, Computer Networks and Communications, Spectroscopy, Molecular Biology and Ecology, having authored 14 papers that have together received 959 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (5 papers), Scientific Computing and Data Management (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Bacteriophages and microbial interactions (3 papers), Mass Spectrometry Techniques and Applications (2 papers), DNA Repair Mechanisms (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Information Systems and Management (79 citations), Molecular Biology (648 citations), Computer Networks and Communications (171 citations), Hardware and Architecture (46 citations) and Spectroscopy (105 citations). David E. Konerding has collaborated with scholars based in United States and Canada. Frequent co-authors include Patrick B. Conway, Michael Dominik Tyka, David Baker, Frank DiMaio, Kai Kohlhoff, Dan Belov, Russ Biagio Altman, Morgan Lawrenz, Diwakar Shukla and Gregory R. Bowman. Their work appears in journals such as Biochemistry, IEEE Internet Computing, Nature Chemistry, Protein Science and Journal of Biomolecular NMR.
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.