Meir Glick

70 papers and 3.5k indexed citations i.

About

Meir Glick is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Meir Glick has authored 70 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computational Theory and Mathematics, 39 papers in Molecular Biology and 21 papers in Pharmacology. Recurrent topics in Meir Glick’s work include Computational Drug Discovery Methods (51 papers), Microbial Natural Products and Biosynthesis (19 papers) and Protein Structure and Dynamics (10 papers). Meir Glick is often cited by papers focused on Computational Drug Discovery Methods (51 papers), Microbial Natural Products and Biosynthesis (19 papers) and Protein Structure and Dynamics (10 papers). Meir Glick collaborates with scholars based in United States, Switzerland and United Kingdom. Meir Glick's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Meir Glick i

Fields of papers citing papers by Meir Glick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Meir Glick

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025