Tamar Schlick

15.7k total citations · 1 hit paper
252 papers, 9.5k citations indexed

About

Tamar Schlick is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Genetics. According to data from OpenAlex, Tamar Schlick has authored 252 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 218 papers in Molecular Biology, 25 papers in Atomic and Molecular Physics, and Optics and 21 papers in Genetics. Recurrent topics in Tamar Schlick's work include RNA and protein synthesis mechanisms (86 papers), DNA and Nucleic Acid Chemistry (75 papers) and Genomics and Chromatin Dynamics (67 papers). Tamar Schlick is often cited by papers focused on RNA and protein synthesis mechanisms (86 papers), DNA and Nucleic Acid Chemistry (75 papers) and Genomics and Chromatin Dynamics (67 papers). Tamar Schlick collaborates with scholars based in United States, China and United Kingdom. Tamar Schlick's co-authors include Gaurav Arya, Rosana Collepardo‐Guevara, Christian Laing, Daniel Beard, Wilma K. Olson, Ravi Radhakrishnan, Hin Hark Gan, Karunesh Arora, William A. Beard and Samuel H. Wilson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tamar Schlick

247 papers receiving 9.2k citations

Hit Papers

Molecular Modeling and Simulation: An Interdisciplinary G... 2010 2026 2015 2020 2010 100 200 300 400

Peers

Tamar Schlick
Comparison fields: 5 of 173
  • Molecular Biology 7.4k
  • Atomic and Molecular Physics, and Optics 1.1k
  • Materials Chemistry 1.0k
  • Genetics 648
  • Biomedical Engineering 617
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Citations per field, relative to Tamar Schlick
Tamar Schlick · 1×
Citations per year, relative to Tamar Schlick
Tamar Schlick · 1×

Countries citing papers authored by Tamar Schlick

Since Specialization
Citations

This map shows the geographic impact of Tamar Schlick'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 Tamar Schlick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Schlick more than expected).

Fields of papers citing papers by Tamar Schlick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamar Schlick. 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 Tamar Schlick. The network helps show where Tamar Schlick may publish in the future.

Co-authorship network of co-authors of Tamar Schlick

This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Schlick. A scholar is included among the top collaborators of Tamar Schlick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamar Schlick. Tamar Schlick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 7
4 4
5 41
6 52
7 14
8 53
9 18
10
Graph-based sampling approach for approximating global helical topologies of RNA
2
11 9
12 13
13 50
14 22
15 42
16 5
17 67
18 32
19
Computational methods for macromolecules: Challenges and applications - Proceedings of the 3rd international workshop on algorithms for macromolecular modelling, New York, October 12-14, 2000
2
20 107

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.

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