Robert Landick

23.3k total citations · 3 hit papers
220 papers, 17.3k citations indexed

About

Robert Landick is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Robert Landick has authored 220 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Molecular Biology, 127 papers in Genetics and 54 papers in Ecology. Recurrent topics in Robert Landick's work include RNA and protein synthesis mechanisms (156 papers), Bacterial Genetics and Biotechnology (126 papers) and Bacteriophages and microbial interactions (51 papers). Robert Landick is often cited by papers focused on RNA and protein synthesis mechanisms (156 papers), Bacterial Genetics and Biotechnology (126 papers) and Bacteriophages and microbial interactions (51 papers). Robert Landick collaborates with scholars based in United States, Germany and Russia. Robert Landick's co-authors include Jeff Gelles, Irina Artsimovitch, Rachel A. Mooney, Steven M. Block, Hong Yin, Murali Palangat, Seth A. Darst, Elio A. Abbondanzieri, Stephan Block and Joshua W. Shaevitz and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Robert Landick

217 papers receiving 17.0k citations

Hit Papers

Stretching DNA with optic... 1997 2026 2006 2016 1997 1998 2005 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Landick 14.2k 7.3k 3.4k 1.8k 1.8k 220 17.3k
Timothy M. Lohman 16.3k 1.2× 5.6k 0.8× 2.0k 0.6× 769 0.4× 923 0.5× 195 18.1k
Donald M. Crothers 25.7k 1.8× 5.1k 0.7× 3.2k 0.9× 884 0.5× 1.1k 0.6× 244 29.5k
Keiichi Namba 7.8k 0.6× 5.2k 0.7× 2.9k 0.9× 728 0.4× 968 0.5× 326 13.2k
Kerwyn Casey Huang 6.6k 0.5× 3.4k 0.5× 2.0k 0.6× 529 0.3× 834 0.5× 179 9.9k
Nicholas R. Cozzarelli 15.4k 1.1× 4.0k 0.5× 3.0k 0.9× 1.0k 0.6× 970 0.5× 179 18.2k
David M.J. Lilley 18.1k 1.3× 3.1k 0.4× 2.0k 0.6× 508 0.3× 658 0.4× 350 19.8k
Gijs J. L. Wuite 5.6k 0.4× 1.5k 0.2× 2.5k 0.8× 2.7k 1.5× 2.1k 1.2× 191 10.5k
Nathalie Q. Balaban 5.1k 0.4× 3.4k 0.5× 1.1k 0.3× 1.1k 0.6× 2.4k 1.3× 55 12.0k
Éric Westhof 21.5k 1.5× 2.4k 0.3× 2.5k 0.7× 605 0.3× 418 0.2× 334 24.6k
Jonas Korlach 8.4k 0.6× 1.6k 0.2× 1.9k 0.6× 455 0.2× 1.7k 1.0× 102 12.3k

Countries citing papers authored by Robert Landick

Since Specialization
Citations

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

Fields of papers citing papers by Robert Landick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Landick

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Landick. A scholar is included among the top collaborators of Robert Landick 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 Robert Landick. Robert Landick 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
1.
Mooney, Rachel A., Barbara Bosch, Paul Dominic B. Olinares, et al.. (2025). RapA opens the RNA polymerase clamp to disrupt post-termination complexes and prevent cytotoxic R-loop formation. Nature Structural & Molecular Biology. 32(4). 639–649. 1 indexed citations
2.
Lan, Freeman, et al.. (2024). Massively parallel single-cell sequencing of diverse microbial populations. Nature Methods. 21(2). 228–235. 20 indexed citations
4.
Landick, Robert, et al.. (2024). Bacterial chromatin proteins, transcription, and DNA topology: Inseparable partners in the control of gene expression. Molecular Microbiology. 122(1). 81–112. 22 indexed citations
5.
Mooney, Rachel A., Mirjana Lilić, Jeremy M. Rock, et al.. (2023). Structural and functional basis of the universal transcription factor NusG pro-pausing activity in Mycobacterium tuberculosis. Molecular Cell. 83(9). 1474–1488.e8. 17 indexed citations
6.
7.
Malone, Brandon, Jason K. Perry, Paul Dominic B. Olinares, et al.. (2023). Structural basis for substrate selection by the SARS-CoV-2 replicase. Nature. 614(7949). 781–787. 42 indexed citations
8.
Cao, Xinyun, et al.. (2022). Basis of narrow-spectrum activity of fidaxomicin on Clostridioides difficile. Nature. 604(7906). 541–545. 39 indexed citations
9.
Landick, Robert, et al.. (2021). Obligate movements of an active site–linked surface domain control RNA polymerase elongation and pausing via a Phe pocket anchor. Proceedings of the National Academy of Sciences. 118(36). 10 indexed citations
10.
Malone, Brandon, James Chen, Qi Wang, et al.. (2021). Structural basis for backtracking by the SARS-CoV-2 replication–transcription complex. Proceedings of the National Academy of Sciences. 118(19). 84 indexed citations
11.
Wrobel, Russell L., Michael Place, Michael E. Graham, et al.. (2020). CRISpy-Pop: A Web Tool for Designing CRISPR/Cas9-Driven Genetic Modifications in Diverse Populations. G3 Genes Genomes Genetics. 10(11). 4287–4294. 8 indexed citations
12.
Lilić, Mirjana, James Chen, Hande Boyaci, et al.. (2020). The antibiotic sorangicin A inhibits promoter DNA unwinding in a Mycobacterium tuberculosis rifampicin-resistant RNA polymerase. Proceedings of the National Academy of Sciences. 117(48). 30423–30432. 27 indexed citations
13.
Bellecourt, Michael J., et al.. (2019). RNA Polymerase Clamp Movement Aids Dissociation from DNA but Is Not Required for RNA Release at Intrinsic Terminators. Journal of Molecular Biology. 431(4). 696–713. 14 indexed citations
14.
Mishanina, Tatiana V., et al.. (2019). The elemental mechanism of transcriptional pausing. eLife. 8. 52 indexed citations
15.
Feklístov, Andrey, Brian Bae, Markus Kalesse, et al.. (2017). RNA polymerase motions during promoter melting. Science. 356(6340). 863–866. 67 indexed citations
16.
Köhler, Rebecca, Rachel A. Mooney, Deryck J. Mills, Robert Landick, & Patrick Cramer. (2017). Architecture of a transcribing-translating expressome. Science. 356(6334). 194–197. 125 indexed citations
17.
Larson, Matthew H., Jing Zhou, Craig D. Kaplan, et al.. (2012). Trigger loop dynamics mediate the balance between the transcriptional fidelity and speed of RNA polymerase II. Proceedings of the National Academy of Sciences. 109(17). 6555–6560. 109 indexed citations
18.
Landick, Robert, et al.. (1996). Quantitative analysis of transcriptional pausing by Escherichia coli RNA polymerase: his leader pause site as paradigm. Methods in enzymology on CD-ROM/Methods in enzymology. 334–353. 105 indexed citations
19.
Landick, Robert & Charles L. Turnbough. (1992). 16 Transcriptional Attenuation. Cold Spring Harbor Monograph Archive. 407–446. 20 indexed citations
20.
Landick, Robert, David Maguire, & Leonard C. Lutter. (1984). Optimization of Polyacrylamide Gel Electrophoresis Conditions Used for Sequencing Mixed Oligodeoxyribonucleotides. DNA. 3(5). 413–419. 6 indexed citations

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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