Gal Ehrlich
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
- Pharmacology 11
- Cholinesterase and Neurodegenerative Diseases 11
- Pharmacogenetics and Drug Metabolism 1
-
- Nicotinic Acetylcholine Receptors Study 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Phosphodiesterase function and regulation 1
- 14-3-3 protein interactions 1
- DNA and Nucleic Acid Chemistry 1
- Co-authors
- Hermona Soreq (11 shared papers)H Zakut (11 shared papers)Dalia Ginzberg (9 shared papers)Shlomo Seidman (4 shared papers)Catherine A. Prody (2 shared papers)Deborah Patinkin (3 shared papers)Yael Loewenstein (4 shared papers)F. Eckstein (2 shared papers)
In The Last Decade
Gal Ehrlich
12 papers receiving 430 citations
Peers
Comparison fields: 5 of 66
- Pharmacology 283
- Computational Theory and Mathematics 171
- Molecular Biology 275
- Complementary and alternative medicine 20
- Plant Science 71
Countries citing papers authored by Gal Ehrlich
This map shows the geographic impact of Gal Ehrlich'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 Gal Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Ehrlich more than expected).
Fields of papers citing papers by Gal Ehrlich
This network shows the impact of papers produced by Gal Ehrlich. 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 Gal Ehrlich. The network helps show where Gal Ehrlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Gal Ehrlich, 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 | 1994 | 78 | |
| 2 | 1992 | 74 | |
| 3 | 1990 | 65 | |
| 4 | 1992 | 50 | |
| 5 | 1992 | 42 | |
| 6 | Antisense inhibition of acetylcholinesterase gene expression causes transient hematopoietic alterations in vivo. | 1994 | 37 |
| 7 | 1994 | 31 | |
| 8 | 1994 | 30 | |
| 9 | 2002 | 19 | |
| 10 | 2022 | 9 | |
| 11 | 1994 | 5 | |
| 12 | 1992 | 1 | |
| 13 | 2020 | 0 | |
| 14 | 1995 | 0 |
About Gal Ehrlich
Gal Ehrlich is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Organic Chemistry and Sociology and Political Science, having authored 14 papers that have together received 441 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (8 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Phosphodiesterase function and regulation (1 paper), 14-3-3 protein interactions (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Pharmacology (283 citations), Computational Theory and Mathematics (171 citations), Molecular Biology (275 citations), Complementary and alternative medicine (20 citations) and Plant Science (71 citations). Gal Ehrlich has collaborated with scholars based in Israel, Italy and Germany. Frequent co-authors include Hermona Soreq, H Zakut, Dalia Ginzberg, Shlomo Seidman, Catherine A. Prody, Deborah Patinkin, Yael Loewenstein, F. Eckstein, Jonathan Gressel and Francesco Clementi. Their work appears in journals such as Genomics, Trends in Plant Science, Journal of Clinical Investigation, Biomedicine & Pharmacotherapy and Experimental Cell Research.
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.