David Schell
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Protein purification and stability
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- Enzyme Structure and Function
Papers in
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- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
- DNA and Nucleic Acid Chemistry 2
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- Enzyme Structure and Function 4
- Co-authors
- C. Nick Pace (7 shared papers)Gerald R. Grimsley (4 shared papers)J. Martin Scholtz (4 shared papers)Jozef Ševčı́k (3 shared papers)Eric Hébert (3 shared papers)Richard L. Thurlkill (3 shared papers)Saul Treviño (2 shared papers)L. Urbanikova (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Developmental Psychology (2 papers)IEEE Transactions on Professional Communication (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- United StatesSlovakiaSpain
In The Last Decade
David Schell
13 papers receiving 791 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 550
- Materials Chemistry 219
- Computational Theory and Mathematics 73
- Spectroscopy 74
- Physical and Theoretical Chemistry 39
Countries citing papers authored by David Schell
This map shows the geographic impact of David Schell'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 Schell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schell more than expected).
Fields of papers citing papers by David Schell
This network shows the impact of papers produced by David Schell. 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 Schell. The network helps show where David Schell may publish in the future.
Co-authors
The 25 scholars most cited alongside David Schell, 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 | 2014 | 397 | |
| 2 | 1998 | 124 | |
| 3 | 2003 | 91 | |
| 4 | 1997 | 48 | |
| 5 | 2005 | 36 | |
| 6 | 2003 | 33 | |
| 7 | 2001 | 23 | |
| 8 | 1987 | 23 | |
| 9 | 1986 | 13 | |
| 10 | 1986 | 11 | |
| 11 | 1997 | 5 | |
| 12 | 2002 | 4 | |
| 13 | 1987 | 1 |
About David Schell
David Schell is a scholar working on Molecular Biology, Materials Chemistry, Information Systems, Artificial Intelligence and Genetics, having authored 13 papers that have together received 809 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (4 papers), Bacterial Genetics and Biotechnology (2 papers), Usability and User Interface Design (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (550 citations), Materials Chemistry (219 citations), Computational Theory and Mathematics (73 citations), Spectroscopy (74 citations) and Physical and Theoretical Chemistry (39 citations). David Schell has collaborated with scholars based in United States, Slovakia and Spain. Frequent co-authors include C. Nick Pace, Gerald R. Grimsley, J. Martin Scholtz, Jozef Ševčı́k, Eric Hébert, Richard L. Thurlkill, Saul Treviño, L. Urbanikova, Kazufumi Takano and Bret A. Shirley. Their work appears in journals such as Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Developmental Psychology, IEEE Transactions on Professional Communication and Protein Expression and Purification.
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.