Jacob S. Lewis

1.0k total citations
26 papers, 674 citations indexed

About

Jacob S. Lewis is a scholar working on Molecular Biology, Genetics and Structural Biology. According to data from OpenAlex, Jacob S. Lewis has authored 26 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Structural Biology. Recurrent topics in Jacob S. Lewis's work include DNA Repair Mechanisms (15 papers), DNA and Nucleic Acid Chemistry (7 papers) and Bacterial Genetics and Biotechnology (6 papers). Jacob S. Lewis is often cited by papers focused on DNA Repair Mechanisms (15 papers), DNA and Nucleic Acid Chemistry (7 papers) and Bacterial Genetics and Biotechnology (6 papers). Jacob S. Lewis collaborates with scholars based in Australia, United States and United Kingdom. Jacob S. Lewis's co-authors include Antoine M. van Oijen, Slobodan Jergic, Nicholas E. Dixon, Lisanne M. Spenkelink, Mike O’Donnell, Grant D. Schauer, S.H. Mueller, Andrew Robinson, Alessandro Costa and Michael M. Cox and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Jacob S. Lewis

25 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob S. Lewis Australia 15 564 199 59 55 47 26 674
Arkadiusz W. Kulczyk United States 13 435 0.8× 163 0.8× 59 1.0× 31 0.6× 97 2.1× 27 547
Jennifer A. Surtees United States 17 961 1.7× 279 1.4× 36 0.6× 32 0.6× 89 1.9× 36 1.1k
Gökhan Tolun United States 14 862 1.5× 193 1.0× 128 2.2× 9 0.2× 50 1.1× 20 983
Andrea Candelli Netherlands 14 474 0.8× 56 0.3× 126 2.1× 45 0.8× 47 1.0× 16 666
Heena Khatter France 9 643 1.1× 57 0.3× 18 0.3× 16 0.3× 25 0.5× 10 745
Ineke Brouwer Netherlands 13 466 0.8× 54 0.3× 46 0.8× 50 0.9× 19 0.4× 20 564
Nikki A. Copeland United Kingdom 12 325 0.6× 137 0.7× 34 0.6× 13 0.2× 42 0.9× 17 447
Zuanning Yuan United States 17 1.0k 1.8× 242 1.2× 146 2.5× 6 0.1× 57 1.2× 30 1.1k
S. Schilbach Germany 11 777 1.4× 66 0.3× 61 1.0× 14 0.3× 25 0.5× 14 853
Kyoko Matoba Japan 11 400 0.7× 58 0.3× 71 1.2× 10 0.2× 9 0.2× 19 549

Countries citing papers authored by Jacob S. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Jacob S. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob S. Lewis. 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 Jacob S. Lewis. The network helps show where Jacob S. Lewis may publish in the future.

Co-authorship network of co-authors of Jacob S. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob S. Lewis. A scholar is included among the top collaborators of Jacob S. Lewis 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 Jacob S. Lewis. Jacob S. Lewis 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.
Carter, Mathew, Raffaele Califano, Yvonne Summers, et al.. (2025). First-line osimertinib compared to earlier generation TKIs in advanced EGFR-mutant NSCLC: A real-world survival analysis. Lung Cancer. 200. 108084–108084. 2 indexed citations
2.
Henrikus, Sarah S., Oliver Willhöft, Jacob S. Lewis, et al.. (2024). Unwinding of a eukaryotic origin of replication visualized by cryo-EM. Nature Structural & Molecular Biology. 31(8). 1265–1276. 12 indexed citations
3.
Winans, Thomas, Zachary Oaks, Nick Huang, et al.. (2023). mTOR-dependent loss of PON1 secretion and antiphospholipid autoantibody production underlie autoimmunity-mediated cirrhosis in transaldolase deficiency. Journal of Autoimmunity. 140. 103112–103112. 24 indexed citations
4.
Oaks, Zachary, Nick Huang, Thomas Winans, et al.. (2023). Cytosolic aldose metabolism contributes to progression from cirrhosis to hepatocarcinogenesis. Nature Metabolism. 5(1). 41–60. 30 indexed citations
5.
6.
Lewis, Jacob S., Joana S. Sousa, Sarah S. Henrikus, et al.. (2022). Mechanism of replication origin melting nucleated by CMG helicase assembly. Nature. 606(7916). 1007–1014. 57 indexed citations
7.
Spenkelink, Lisanne M., et al.. (2022). Production of long linear DNA substrates with site-specific chemical lesions for single-molecule replisome studies. Methods in enzymology on CD-ROM/Methods in enzymology. 672. 299–315. 4 indexed citations
8.
Monachino, Enrico, Slobodan Jergic, Jacob S. Lewis, et al.. (2020). A Primase-Induced Conformational Switch Controls the Stability of the Bacterial Replisome. Molecular Cell. 79(1). 140–154.e7. 17 indexed citations
9.
Spenkelink, Lisanne M., Jacob S. Lewis, Slobodan Jergic, et al.. (2019). Recycling of single-stranded DNA-binding protein by the bacterial replisome. Nucleic Acids Research. 47(8). 4111–4123. 47 indexed citations
10.
Lewis, Jacob S., Grant D. Schauer, S.H. Mueller, et al.. (2019). Nuclease dead Cas9 is a programmable roadblock for DNA replication. Scientific Reports. 9(1). 13292–13292. 47 indexed citations
11.
Ghodke, Harshad, Bishnu P. Paudel, Jacob S. Lewis, et al.. (2019). Spatial and temporal organization of RecA in the Escherichia coli DNA-damage response. eLife. 8. 42 indexed citations
12.
Lewis, Jacob S., et al.. (2019). Shining a Spotlight on DNA: Single-Molecule Methods to Visualise DNA. Molecules. 24(3). 491–491. 28 indexed citations
13.
Mueller, S.H., Lisanne M. Spenkelink, Antoine M. van Oijen, & Jacob S. Lewis. (2019). Design of customizable long linear DNA substrates with controlled end modifications for single-molecule studies. Analytical Biochemistry. 592. 113541–113541. 16 indexed citations
14.
Lewis, Jacob S., Lisanne M. Spenkelink, Grant D. Schauer, et al.. (2019). Tunability of DNA Polymerase Stability during Eukaryotic DNA Replication. Molecular Cell. 77(1). 17–25.e5. 65 indexed citations
15.
Rogers, David, et al.. (2018). The UK pharmaceutical industry braces for Brexit, be it mild, severe, or doomsday. Medical Writing. 27. 41–45. 1 indexed citations
16.
Lewis, Jacob S., et al.. (2017). Single-molecule visualization of Saccharomyces cerevisiae leading-strand synthesis reveals dynamic interaction between MTC and the replisome. Proceedings of the National Academy of Sciences. 114(40). 10630–10635. 47 indexed citations
17.
Lewis, Jacob S., Slobodan Jergic, & Nicholas E. Dixon. (2016). The E. coli DNA Replication Fork. ˜The œEnzymes. 39. 31–88. 59 indexed citations
18.
Rice, Cynthia A., et al.. (2012). Subzero Degradation Analysis of Membrane Electrode Assemblies Fabricated Using Two Common Techniques. ECS Meeting Abstracts. MA2012-02(13). 1379–1379. 1 indexed citations
19.
Thompson, George R., et al.. (2011). Disseminated Burkholderia gladioli infection in a lung transplant recipient with underlying hypocomplementemic urticarial vasculitis. Transplant Infectious Disease. 13(6). 641–645. 3 indexed citations
20.
Setiady, Yulius Y., et al.. (2005). Autoimmune Ovarian Disease in Day 3-Thymectomized Mice: The Neonatal Time Window, Antigen Specificity of Disease Suppression, and Genetic Control. Current topics in microbiology and immunology. 293. 209–247. 20 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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