David Shaya
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Ion channel regulation and function 6
-
- Proteoglycans and glycosaminoglycans research 8
- Co-authors
- Mirosław Cygler (9 shared papers)Daniel L. Minor (5 shared papers)Stephanie E. Wong (2 shared papers)Felix Findeisen (4 shared papers)Cristina Arrigoni (4 shared papers)Shailika Nurva (2 shared papers)Edwin H. Rydberg (1 shared paper)Lawrence E. Williams (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Analytical Biochemistry (2 papers)Scientific Reports (1 paper)Nature Structural & Molecular Biology (1 paper)Cell (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
David Shaya
18 papers receiving 771 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 200
- Pharmacology 165
- Biotechnology 80
- Cellular and Molecular Neuroscience 153
- Computational Theory and Mathematics 123
Countries citing papers authored by David Shaya
This map shows the geographic impact of David Shaya'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 Shaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Shaya more than expected).
Fields of papers citing papers by David Shaya
This network shows the impact of papers produced by David Shaya. 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 Shaya. The network helps show where David Shaya may publish in the future.
Co-authors
The 25 scholars most cited alongside David Shaya, 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 | 2006 | 172 | |
| 2 | 2013 | 117 | |
| 3 | 2006 | 81 | |
| 4 | 2011 | 72 | |
| 5 | 2009 | 58 | |
| 6 | 2007 | 58 | |
| 7 | 2016 | 57 | |
| 8 | 2010 | 43 | |
| 9 | 2008 | 38 | |
| 10 | 2008 | 27 | |
| 11 | 2008 | 19 | |
| 12 | 2006 | 13 | |
| 13 | 2019 | 7 | |
| 14 | 2004 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 3 | |
| 17 | 2014 | 1 | |
| 18 | 2018 | 1 |
About David Shaya
David Shaya is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Plant Science, having authored 18 papers that have together received 777 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), Ion channel regulation and function (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Polysaccharides Composition and Applications (2 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Cell Biology (200 citations), Pharmacology (165 citations), Biotechnology (80 citations), Cellular and Molecular Neuroscience (153 citations) and Computational Theory and Mathematics (123 citations). David Shaya has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Mirosław Cygler, Daniel L. Minor, Stephanie E. Wong, Felix Findeisen, Cristina Arrigoni, Shailika Nurva, Edwin H. Rydberg, Lawrence E. Williams, Harry M. Greenblatt and Yuan‐Ping Pang. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry, Scientific Reports, Nature Structural & Molecular Biology and Cell.
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.