Susan T. Lovett

10.6k total citations · 1 hit paper
197 papers, 8.5k citations indexed

About

Susan T. Lovett is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Susan T. Lovett has authored 197 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Molecular Biology, 132 papers in Genetics and 52 papers in Ecology. Recurrent topics in Susan T. Lovett's work include Bacterial Genetics and Biotechnology (130 papers), DNA Repair Mechanisms (77 papers) and RNA and protein synthesis mechanisms (66 papers). Susan T. Lovett is often cited by papers focused on Bacterial Genetics and Biotechnology (130 papers), DNA Repair Mechanisms (77 papers) and RNA and protein synthesis mechanisms (66 papers). Susan T. Lovett collaborates with scholars based in United States, Germany and Australia. Susan T. Lovett's co-authors include Richard D. Kolodner, E J Duvall, Vincent A. Sutera, Mohan Viswanathan, Elizabeth J. Rogers, K M Keggins, Donna M. Williams, Alvin J. Clark, Deani L. Cooper and Robert Mortimer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Susan T. Lovett

192 papers receiving 8.0k citations

Hit Papers

Phenotypic Landscape of a Bacterial Cell 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan T. Lovett United States 51 7.1k 4.4k 1.6k 710 604 197 8.5k
Sidney R. Kushner United States 51 8.1k 1.1× 5.0k 1.1× 2.0k 1.3× 570 0.8× 360 0.6× 138 9.8k
Alvin J. Clark United States 51 7.7k 1.1× 5.1k 1.2× 1.9k 1.2× 690 1.0× 526 0.9× 113 9.2k
B Bachmann Germany 14 5.5k 0.8× 4.0k 0.9× 1.6k 1.1× 533 0.8× 657 1.1× 21 7.4k
Stanley Tabor United States 30 7.9k 1.1× 3.7k 0.8× 2.1k 1.4× 891 1.3× 255 0.4× 63 10.1k
David W. Mount United States 44 5.7k 0.8× 3.4k 0.8× 1.0k 0.7× 1.2k 1.7× 387 0.6× 121 7.3k
Nigel D. F. Grindley United States 49 5.7k 0.8× 2.6k 0.6× 1.4k 0.9× 761 1.1× 390 0.6× 108 6.8k
Jun-ichi Tomizawa Japan 49 7.6k 1.1× 4.1k 0.9× 2.5k 1.6× 577 0.8× 897 1.5× 108 9.0k
Jay D. Gralla United States 49 8.5k 1.2× 4.8k 1.1× 2.1k 1.4× 695 1.0× 362 0.6× 132 9.8k
Teru Ogura Japan 44 6.1k 0.9× 3.8k 0.9× 1.6k 1.0× 697 1.0× 786 1.3× 135 8.1k
M J Casadaban United States 30 7.2k 1.0× 4.9k 1.1× 2.1k 1.3× 1.0k 1.4× 448 0.7× 50 9.7k

Countries citing papers authored by Susan T. Lovett

Since Specialization
Citations

This map shows the geographic impact of Susan T. Lovett'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 Susan T. Lovett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan T. Lovett more than expected).

Fields of papers citing papers by Susan T. Lovett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan T. Lovett. 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 Susan T. Lovett. The network helps show where Susan T. Lovett may publish in the future.

Co-authorship network of co-authors of Susan T. Lovett

This figure shows the co-authorship network connecting the top 25 collaborators of Susan T. Lovett. A scholar is included among the top collaborators of Susan T. Lovett 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 Susan T. Lovett. Susan T. Lovett 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.
Lovett, Susan T., et al.. (2025). The nature of mutation: a legacy of bacterial genetics. Genetics. 231(3).
2.
Lovett, Susan T., et al.. (2024). The DNA damage response of Escherichia coli , revisited: Differential gene expression after replication inhibition. Proceedings of the National Academy of Sciences. 121(27). e2407832121–e2407832121. 8 indexed citations
3.
Ferrazzoli, Alexander E., et al.. (2022). DnaA and SspA Regulation of the iraD gene of E. coli: an alternative DNA damage response independent of LexA/RecA. Genetics. 221(2). 8 indexed citations
5.
Henrikus, Sarah S., Stefanie H. Chen, Alexander E. Ferrazzoli, et al.. (2019). Frequent template switching in postreplication gaps: suppression of deleterious consequences by the Escherichia coli Uup and RadD proteins. Nucleic Acids Research. 48(1). 212–230. 15 indexed citations
6.
Wang, Jiaqing, Adrianna N. Shy, Deani L. Cooper, et al.. (2019). Structure–Activity Relationship of Peptide-Conjugated Chloramphenicol for Inhibiting Escherichia coli. Journal of Medicinal Chemistry. 62(22). 10245–10257. 10 indexed citations
7.
Wang, Jiaqing, Deani L. Cooper, Wenjun Zhan, et al.. (2019). Diglycine Enables Rapid Intrabacterial Hydrolysis for Activating Anbiotics against Gram‐negative Bacteria. Angewandte Chemie. 131(31). 10741–10744. 7 indexed citations
8.
Wang, Jiaqing, Deani L. Cooper, Wenjun Zhan, et al.. (2019). Diglycine Enables Rapid Intrabacterial Hydrolysis for Activating Anbiotics against Gram‐negative Bacteria. Angewandte Chemie International Edition. 58(31). 10631–10634. 24 indexed citations
9.
Shea, April A., Christopher K. Cote, Jeffrey W. Koehler, et al.. (2017). Two stable variants of Burkholderia pseudomallei strain MSHR5848 express broadly divergent in vitro phenotypes associated with their virulence differences. PLoS ONE. 12(2). e0171363–e0171363. 9 indexed citations
10.
Lovett, Susan T., et al.. (2014). Educational Leadership with Indigenous Partners. Griffith Research Online (Griffith University, Queensland, Australia). 3 indexed citations
11.
Nichols, Robert J., Śaunak Sen, Pedro Beltrão, et al.. (2010). Phenotypic Landscape of a Bacterial Cell. Cell. 144(1). 143–156. 509 indexed citations breakdown →
12.
Merrikh, Houra, Alexander E. Ferrazzoli, Alexandre Bougdour, Anique Olivier-Mason, & Susan T. Lovett. (2009). A DNA damage response in Escherichia coli involving the alternative sigma factor, RpoS. Proceedings of the National Academy of Sciences. 106(2). 611–616. 68 indexed citations
13.
Sutera, Vincent A., et al.. (2006). RecA-independent recombination is efficient but limited by exonucleases. Proceedings of the National Academy of Sciences. 104(1). 216–221. 91 indexed citations
14.
Lovett, Susan T.. (2003). Connecting Replication and Recombination. Molecular Cell. 11(3). 554–556. 15 indexed citations
15.
Burdett, Vickers, Celia Baitinger, Mohan Viswanathan, Susan T. Lovett, & Paul Modrich. (2001). In vivo requirement for RecJ, ExoVII, ExoI, and ExoX in methyl-directed mismatch repair. Proceedings of the National Academy of Sciences. 98(12). 6765–6770. 175 indexed citations
16.
Lovett, Susan T., et al.. (1997). Enhanced Deletion Formation by Aberrant DNA Replication in Escherichia coli. Genetics. 146(2). 457–470. 83 indexed citations
17.
Lovett, Susan T., et al.. (1995). Enhancement of RecA Strand-transfer Activity by the RecJ Exonuclease of Escherichia coli. Journal of Biological Chemistry. 270(12). 6881–6885. 35 indexed citations
18.
Lovett, Susan T., et al.. (1992). Biotechnology and environmental science : molecular approaches. Plenum Press eBooks. 7 indexed citations
19.
Ambulos, Nicholas P., Skorn Mongkolsuk, Joshua D. Kaufman, & Susan T. Lovett. (1985). Chloramphenicol-induced translation of cat-86 mRNA requires two cis-acting regulatory regions. Journal of Bacteriology. 164(2). 696–703. 21 indexed citations
20.

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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