Seth A. Darst

19.4k total citations · 5 hit papers
175 papers, 14.7k citations indexed

About

Seth A. Darst is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Seth A. Darst has authored 175 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Molecular Biology, 106 papers in Genetics and 58 papers in Ecology. Recurrent topics in Seth A. Darst's work include RNA and protein synthesis mechanisms (117 papers), Bacterial Genetics and Biotechnology (104 papers) and Bacteriophages and microbial interactions (57 papers). Seth A. Darst is often cited by papers focused on RNA and protein synthesis mechanisms (117 papers), Bacterial Genetics and Biotechnology (104 papers) and Bacteriophages and microbial interactions (57 papers). Seth A. Darst collaborates with scholars based in United States, United Kingdom and Russia. Seth A. Darst's co-authors include Elizabeth A. Campbell, Katsuhiko Murakami, Konstantin Severinov, Shoko Masuda, Roger D. Kornberg, Arkady Mustaev, Andrey Feklístov, Robert Landick, Alex Goldfarb and Elena Severinova and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Seth A. Darst

173 papers receiving 14.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structural Mechanism for Rifampicin Inhibition of Bacterial RNA Polymerase

2001 1.1k citations Elizabeth A. Campbell, Katsuhiko Murakami et al. Cell profile →
Crystal Structure of Thermus aquaticus Core RNA Polymerase at 3.3 Å Resolution

1999 653 citations Elizabeth A. Campbell, Seth A. Darst et al. Cell profile →
Structural Basis of Transcription Initiation: An RNA Polymerase Holoenzyme-DNA Complex

2002 526 citations Katsuhiko Murakami, Shoko Masuda et al. Science profile →
Structural Basis for Helicase-Polymerase Coupling in the SARS-CoV-2 Replication-Transcription Complex

2020 320 citations James Chen, Brandon Malone et al. Cell profile →
Two-dimensional crystals of streptavidin on biotinylated lipid layers and their interactions with biotinylated macromolecules

1991 286 citations Seth A. Darst et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Seth A. Darst United States	68	11.7k	6.9k	3.7k	1.7k	1.1k	175	14.7k
Ann Stock United States	56	11.0k 0.9×	6.5k 0.9×	2.0k 0.6×	1.3k 0.8×	1.7k 1.5×	115	15.8k
Ben F. Luisi United Kingdom	64	10.9k 0.9×	5.5k 0.8×	2.5k 0.7×	850 0.5×	1.1k 1.0×	195	15.9k
Richard H. Ebright United States	69	12.3k 1.1×	6.4k 0.9×	2.7k 0.7×	559 0.3×	1.0k 0.9×	181	14.5k
Gabriel Waksman United Kingdom	75	11.2k 1.0×	4.6k 0.7×	2.4k 0.7×	1.0k 0.6×	1.3k 1.2×	221	18.0k
Akira Ishihama Japan	77	16.8k 1.4×	12.1k 1.8×	4.9k 1.3×	1.0k 0.6×	1.3k 1.1×	453	21.8k
Jeff Errington United Kingdom	81	13.7k 1.2×	13.5k 2.0×	8.9k 2.4×	1.4k 0.8×	1.3k 1.2×	245	19.9k
Martin Rosenberg United States	63	11.0k 0.9×	5.0k 0.7×	2.3k 0.6×	1.3k 0.8×	1.1k 1.0×	181	15.2k
Alan D. Grossman United States	71	12.1k 1.0×	9.7k 1.4×	5.2k 1.4×	677 0.4×	1.1k 0.9×	152	15.6k
Robert Landick United States	75	14.2k 1.2×	7.3k 1.1×	3.4k 0.9×	674 0.4×	663 0.6×	220	17.3k
David Dubnau United States	70	11.3k 1.0×	9.4k 1.4×	5.8k 1.6×	984 0.6×	985 0.9×	175	14.7k

Countries citing papers authored by Seth A. Darst

Since Specialization

Citations

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

Fields of papers citing papers by Seth A. Darst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth A. Darst. 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 Seth A. Darst. The network helps show where Seth A. Darst may publish in the future.

Co-authorship network of co-authors of Seth A. Darst

This figure shows the co-authorship network connecting the top 25 collaborators of Seth A. Darst. A scholar is included among the top collaborators of Seth A. Darst 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 Seth A. Darst. Seth A. Darst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Todor, Horia, et al.. (2026). Predicting the protein interaction landscape of a free-living bacterium with pooled-AlphaFold3. Molecular Systems Biology.

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

Saecker, Ruth M., Mueller AU, Brandon Malone, et al.. (2024). Early intermediates in bacterial RNA polymerase promoter melting visualized by time-resolved cryo-electron microscopy. Nature Structural & Molecular Biology. 31(11). 1778–1788. 4 indexed citations

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

AU, Mueller, James Chen, Mengyu Wu, et al.. (2023). A general mechanism for transcription bubble nucleation in bacteria. Proceedings of the National Academy of Sciences. 120(14). e2220874120–e2220874120. 3 indexed citations

Fedorova, Olga, Paul Dominic B. Olinares, Young Joo Choi, et al.. (2023). Structural and functional insights into the enzymatic plasticity of the SARS-CoV-2 NiRAN domain. Molecular Cell. 83(21). 3921–3930.e7. 14 indexed citations

Chen, James, Qi Wang, Brandon Malone, et al.. (2022). Ensemble cryo-EM reveals conformational states of the nsp13 helicase in the SARS-CoV-2 helicase replication–transcription complex. Nature Structural & Molecular Biology. 29(3). 250–260. 48 indexed citations

Saecker, Ruth M., James Chen, Brandon Malone, et al.. (2021). Structural origins of Escherichia coli RNA polymerase open promoter complex stability. Proceedings of the National Academy of Sciences. 118(40). 24 indexed citations

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

10.

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

11.

Olinares, Paul Dominic B., Jin Young Kang, Eliza Llewellyn, et al.. (2020). Native Mass Spectrometry-Based Screening for Optimal Sample Preparation in Single-Particle Cryo-EM. Structure. 29(2). 186–195.e6. 21 indexed citations

12.

Chen, James, Brandon Malone, Eliza Llewellyn, et al.. (2020). Structural Basis for Helicase-Polymerase Coupling in the SARS-CoV-2 Replication-Transcription Complex. Cell. 182(6). 1560–1573.e13. 320 indexed citations breakdown →

13.

Banta, Amy B., et al.. (2019). Structural basis for transcription activation by Crl through tethering of σ ^S and RNA polymerase. Proceedings of the National Academy of Sciences. 116(38). 18923–18927. 21 indexed citations

14.

Chen, James, Saumya Gopalkrishnan, Albert Y. Chen, et al.. (2019). E. coli TraR allosterically regulates transcription initiation by altering RNA polymerase conformation. 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.

Bae, Brian, Elizabeth A. Olmsted‐Davis, Daniel R. Brown, et al.. (2013). Phage T7 Gp2 inhibition of Escherichia coli RNA polymerase involves misappropriation of σ ⁷⁰ domain 1.1. Proceedings of the National Academy of Sciences. 110(49). 19772–19777. 122 indexed citations

17.

Chen, Jie, Seth A. Darst, & D. Thirumalai. (2010). Promoter melting triggered by bacterial RNA polymerase occurs in three steps. Proceedings of the National Academy of Sciences. 107(28). 12523–12528. 48 indexed citations

18.

Murakami, Katsuhiko, Shoko Masuda, Elizabeth A. Campbell, Oriana Muzzin, & Seth A. Darst. (2002). Structural Basis of Transcription Initiation: An RNA Polymerase Holoenzyme-DNA Complex. Science. 296(5571). 1285–1290. 526 indexed citations breakdown →

19.

Murakami, Katsuhiko, Shoko Masuda, & Seth A. Darst. (2002). Structural Basis of Transcription Initiation: RNA Polymerase Holoenzyme at 4 Å Resolution. Science. 296(5571). 1280–1284. 453 indexed citations

20.

Camarero, Julio A., Alexander Shekhtman, Elizabeth A. Campbell, et al.. (2002). Autoregulation of a bacterial σ factor explored by using segmental isotopic labeling and NMR. Proceedings of the National Academy of Sciences. 99(13). 8536–8541. 92 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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