Meir Glick
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Computational Drug Discovery Methods 51
- Pharmacology 21
- Microbial Natural Products and Biosynthesis 19
- Co-authors
- John W. DaviesJeremy L. JenkinsAndreas BenderJosef ScheiberSai Chetan K. SukuruJames H. NettlesNidhi NidhiAnthony E. Klon
- Journals
- Journal of Chemical Information and Modeling (12 papers)Journal of Medicinal Chemistry (8 papers)SLAS DISCOVERY (4 papers)Journal of Biological Chemistry (3 papers)ACS Chemical Biology (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Meir Glick
70 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 2.3k
- Pharmacology 375
- Pharmacology 560
- Biophysics 175
- Immunology 628
Countries citing papers authored by Meir Glick
This map shows the geographic impact of Meir Glick'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 Meir Glick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meir Glick more than expected).
Fields of papers citing papers by Meir Glick
This network shows the impact of papers produced by Meir Glick. 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 Meir Glick. The network helps show where Meir Glick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meir Glick, 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 | 2020 | 43 | |
| 2 | 2020 | 34 | |
| 3 | 2017 | 10 | |
| 4 | 2014 | 24 | |
| 5 | 2012 | 18 | |
| 6 | 2012 | 47 | |
| 7 | 2011 | 204 | |
| 8 | 2011 | 24 | |
| 9 | 2010 | 5 | |
| 10 | 2009 | 58 | |
| 11 | 2007 | 55 | |
| 12 | 2007 | 27 | |
| 13 | 2007 | 1 | |
| 14 | 2007 | 247 | |
| 15 | 2007 | 30 | |
| 16 | 2006 | 55 | |
| 17 | 2005 | 135 | |
| 18 | 2004 | 71 | |
| 19 | Ulceraciones orales en pacientes con el virus de la inmunodeficiencia humana: manifestaciones clínicas, diagnóstico, tratamiento y relación con el proceso de la enfermedad | 2000 | 1 |
| 20 | 2000 | 13 |
About Meir Glick
Meir Glick is a scholar working on Computational Theory and Mathematics, Pharmacology, Biophysics, Molecular Biology and Immunology, having authored 71 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (51 papers), Microbial Natural Products and Biosynthesis (19 papers), Protein Structure and Dynamics (10 papers), Bioinformatics and Genomic Networks (8 papers), Cell Image Analysis Techniques (7 papers), T-cell and B-cell Immunology (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Computational Theory and Mathematics (2.3k citations), Pharmacology (375 citations), Pharmacology (560 citations), Biophysics (175 citations) and Immunology (628 citations). Meir Glick has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include John W. Davies, Jeremy L. Jenkins, Andreas Bender, Josef Scheiber, Sai Chetan K. Sukuru, James H. Nettles, Nidhi Nidhi, Anthony E. Klon, Zhan Deng and Eugen Lounkine. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, SLAS DISCOVERY, Journal of Biological Chemistry and ACS Chemical Biology.
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.