Gitay Kryger
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 4
- Enzyme function and inhibition 4
- Biochemical and Molecular Research 4
-
- Cholinesterase and Neurodegenerative Diseases 8
- Co-authors
- Joel L. Sussman (10 shared papers)Israel Silman (10 shared papers)Michal Harel (4 shared papers)Harry M. Greenblatt (3 shared papers)T. Lewis (1 shared paper)Piet Gros (2 shared papers)Martin H. Weik (2 shared papers)Charles B. Millard (2 shared papers)
- Journals
- Journal of Molecular Biology (5 papers)Biochemistry (2 papers)Gene (1 paper)FEBS Letters (1 paper)Structure (1 paper)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Gitay Kryger
16 papers receiving 2.5k citations
Gitay Kryger's Hit Papers
Peers
Comparison fields: 5 of 115
- Pharmacology 1.5k
- Computational Theory and Mathematics 1.0k
- Structural Biology 40
- Organic Chemistry 799
- Complementary and alternative medicine 138
Countries citing papers authored by Gitay Kryger
This map shows the geographic impact of Gitay Kryger'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 Gitay Kryger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gitay Kryger more than expected).
Fields of papers citing papers by Gitay Kryger
This network shows the impact of papers produced by Gitay Kryger. 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 Gitay Kryger. The network helps show where Gitay Kryger may publish in the future.
Co-authors
The 25 scholars most cited alongside Gitay Kryger, 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 | Structure of acetylcholinesterase complexed with E2020 (Aricept®): implications for the design of new anti-Alzheimer drugs Hit paper breakdown → | 1999 | 642 |
| 2 | 2000 | 372 | |
| 3 | 2000 | 263 | |
| 4 | 2000 | 263 | |
| 5 | 1999 | 259 | |
| 6 | 1999 | 214 | |
| 7 | 2000 | 129 | |
| 8 | 1997 | 125 | |
| 9 | 1998 | 93 | |
| 10 | 1999 | 61 | |
| 11 | 2001 | 49 | |
| 12 | 2001 | 47 | |
| 13 | 2001 | 46 | |
| 14 | 1995 | 3 | |
| 15 | 1992 | 3 | |
| 16 | 1994 | 2 |
About Gitay Kryger
Gitay Kryger is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Materials Chemistry and Organic Chemistry, having authored 16 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (7 papers), Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (4 papers), Enzyme function and inhibition (4 papers), Biochemical and Molecular Research (4 papers), Chemical synthesis and alkaloids (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Pharmacology (1.5k citations), Computational Theory and Mathematics (1.0k citations), Structural Biology (40 citations), Organic Chemistry (799 citations) and Complementary and alternative medicine (138 citations). Gitay Kryger has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Joel L. Sussman, Israel Silman, Michal Harel, Harry M. Greenblatt, T. Lewis, Piet Gros, Martin H. Weik, Charles B. Millard, Dov Barak and Avigdor Shafferman. Their work appears in journals such as Journal of Molecular Biology, Biochemistry, Gene, FEBS Letters and Structure.
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.