David T. Barkan
Impact in
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
-
- Computational Drug Discovery Methods
Papers in
-
- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Machine Learning in Bioinformatics 2
- Glycosylation and Glycoproteins Research 2
- Protein Structure and Dynamics 2
- Biochemical and Structural Characterization 2
- vaccines and immunoinformatics approaches 2
- Co-authors
- Andrej Săli (8 shared papers)Jonathan C. Trinidad (2 shared papers)Alma L. Burlingame (2 shared papers)Sami Mahrus (2 shared papers)James A. Wells (2 shared papers)Ursula Pieper (3 shared papers)Benjamin Webb (2 shared papers)Agnes Thalhammer (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of the American Chemical Society (1 paper)Molecular & Cellular Proteomics (1 paper)BMC Bioinformatics (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
David T. Barkan
16 papers receiving 1.9k citations
David T. Barkan's Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.4k
- Computational Theory and Mathematics 175
- Immunology 210
- Cell Biology 161
- Spectroscopy 158
Countries citing papers authored by David T. Barkan
This map shows the geographic impact of David T. Barkan'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 T. Barkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Barkan more than expected).
Fields of papers citing papers by David T. Barkan
This network shows the impact of papers produced by David T. Barkan. 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 T. Barkan. The network helps show where David T. Barkan may publish in the future.
Co-authors
The 25 scholars most cited alongside David T. Barkan, 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 | ModBase, a database of annotated comparative protein structure models, and associated resources Hit paper breakdown → | 2010 | 672 |
| 2 | 2008 | 372 | |
| 3 | 2012 | 338 | |
| 4 | 2008 | 126 | |
| 5 | 2007 | 93 | |
| 6 | 2022 | 59 | |
| 7 | 2010 | 54 | |
| 8 | 2022 | 50 | |
| 9 | 2009 | 46 | |
| 10 | 2019 | 27 | |
| 11 | 2016 | 24 | |
| 12 | 2016 | 11 | |
| 13 | 2021 | 5 | |
| 14 | Promising Bay Area Practices for the Redesign of Child Welfare Services | 2002 | 5 |
| 15 | A parallel implementation of the Needleman-Wunsch algorithm for global gapped pair-wise alignment | 2002 | 3 |
| 16 | Computational Identification of Protein-Peptide Interaction Specificity | 2011 | 1 |
About David T. Barkan
David T. Barkan is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Organic Chemistry and Materials Chemistry, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Machine Learning in Bioinformatics (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Structure and Dynamics (2 papers), Biochemical and Structural Characterization (2 papers), Enzyme Structure and Function (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Computational Theory and Mathematics (175 citations), Immunology (210 citations), Cell Biology (161 citations) and Spectroscopy (158 citations). David T. Barkan has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Andrej Săli, Jonathan C. Trinidad, Alma L. Burlingame, Sami Mahrus, James A. Wells, Ursula Pieper, Benjamin Webb, Agnes Thalhammer, Ralf Schoepfer and Ruchira S. Datta. Their work appears in journals such as Nucleic Acids Research, Journal of the American Chemical Society, Molecular & Cellular Proteomics, BMC Bioinformatics and Antimicrobial Agents and Chemotherapy.
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.