Penny J. Beuning

2.5k total citations
96 papers, 1.8k citations indexed

About

Penny J. Beuning is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Penny J. Beuning has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 33 papers in Genetics and 10 papers in Materials Chemistry. Recurrent topics in Penny J. Beuning's work include DNA Repair Mechanisms (37 papers), DNA and Nucleic Acid Chemistry (33 papers) and Bacterial Genetics and Biotechnology (32 papers). Penny J. Beuning is often cited by papers focused on DNA Repair Mechanisms (37 papers), DNA and Nucleic Acid Chemistry (33 papers) and Bacterial Genetics and Biotechnology (32 papers). Penny J. Beuning collaborates with scholars based in United States, Mexico and Sweden. Penny J. Beuning's co-authors include Karin Musier‐Forsyth, Graham C. Walker, John R. Engen, Jing Fang, Mary Jo Ondrechen, Daniel F. Jarosz, Fai‐Chu Wong, Susan Cohen, Mark C. Williams and Kasper D. Rand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Penny J. Beuning

91 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penny J. Beuning United States 24 1.5k 426 132 106 83 96 1.8k
Sophie Quevillon‐Chéruel France 28 1.9k 1.3× 424 1.0× 271 2.1× 120 1.1× 176 2.1× 73 2.3k
Shan Wu China 19 1.4k 0.9× 177 0.4× 135 1.0× 104 1.0× 83 1.0× 45 2.0k
Arjan Snijder Sweden 21 1.1k 0.7× 307 0.7× 102 0.8× 84 0.8× 71 0.9× 39 1.5k
Frédéric Dardel France 34 2.0k 1.3× 411 1.0× 202 1.5× 117 1.1× 201 2.4× 76 2.4k
Heath E. Klock United States 20 1.0k 0.7× 227 0.5× 241 1.8× 90 0.8× 101 1.2× 37 1.4k
Linda B. Bloom United States 30 2.3k 1.5× 648 1.5× 94 0.7× 98 0.9× 162 2.0× 71 2.5k
Jane E. Jackman United States 26 1.8k 1.2× 311 0.7× 132 1.0× 214 2.0× 96 1.2× 53 2.2k
Carlos Fernández‐Tornero Spain 20 1.1k 0.7× 247 0.6× 79 0.6× 48 0.5× 118 1.4× 38 1.4k
Petra Lukacik United Kingdom 21 904 0.6× 579 1.4× 134 1.0× 130 1.2× 228 2.7× 34 1.7k
K.H. Kalk Netherlands 13 1.2k 0.8× 274 0.6× 255 1.9× 178 1.7× 61 0.7× 17 1.6k

Countries citing papers authored by Penny J. Beuning

Since Specialization
Citations

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

Fields of papers citing papers by Penny J. Beuning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Penny J. Beuning. 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 Penny J. Beuning. The network helps show where Penny J. Beuning may publish in the future.

Co-authorship network of co-authors of Penny J. Beuning

This figure shows the co-authorship network connecting the top 25 collaborators of Penny J. Beuning. A scholar is included among the top collaborators of Penny J. Beuning 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 Penny J. Beuning. Penny J. Beuning 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.
Rouzina, Ioulia, Megan Sullivan, Michael Morse, et al.. (2025). BPS2025 - Mechanism of SARS-CoV-2 nucleocapsid protein phosphorylation-induced functional switch. Biophysical Journal. 124(3). 426a–426a.
2.
Liriano, Melissa L., et al.. (2025). Long-Range Destabilizing Effects of Mutations at the Escherichia coli β Clamp Dimer Interface. Biochemistry. 64(14). 3126–3136.
3.
Beuning, Penny J., et al.. (2025). Functional asymmetry in processivity clamp proteins. Biophysical Journal. 124(10). 1549–1561. 1 indexed citations
4.
Makowski, Lee, et al.. (2024). Revisiting the Roles of Catalytic Residues in Human Ornithine Transcarbamylase. Biochemistry. 63(14). 1858–1875. 1 indexed citations
5.
Ondrechen, Mary Jo, et al.. (2023). Biochemical Activity of 17 Cancer-Associated Variants of DNA Polymerase Kappa Predicted by Electrostatic Properties. Chemical Research in Toxicology. 36(11). 1789–1803. 1 indexed citations
6.
Beuning, Penny J., et al.. (2022). ILV methyl NMR resonance assignments of the 81 kDa E. coli β-clamp. Biomolecular NMR Assignments. 16(2). 317–323. 2 indexed citations
7.
Morse, Michael, Jana Sefcikova, Ioulia Rouzina, Penny J. Beuning, & Mark C. Williams. (2022). Structural domains of SARS-CoV-2 nucleocapsid protein coordinate to compact long nucleic acid substrates. Nucleic Acids Research. 51(1). 290–303. 30 indexed citations
8.
Yin, Pengcheng, et al.. (2022). Functional Characterization of Structural Genomics Proteins in the Crotonase Superfamily. ACS Chemical Biology. 17(2). 395–403. 7 indexed citations
9.
Beuning, Penny J., et al.. (2021). Versatile separation of nucleotides from bacterial cell lysates using strong anion exchange chromatography. Journal of Chromatography B. 1188. 123044–123044. 9 indexed citations
10.
Cohen, Susan, Sara M. Hashmi, Vasiliki Lykourinou, et al.. (2021). Adapting Undergraduate Research to Remote Work to Increase Engagement. PubMed. 2(2). 28–32. 1 indexed citations
11.
Morse, Michael, et al.. (2020). Multiprotein E. coli SSB–ssDNA complex shows both stable binding and rapid dissociation due to interprotein interactions. Nucleic Acids Research. 49(3). 1532–1549. 28 indexed citations
12.
Sefcikova, Jana, et al.. (2019). Mammalian DNA Polymerase Kappa Activity and Specificity. Molecules. 24(15). 2805–2805. 24 indexed citations
13.
Lee, Joslynn S., Liang Tian, Alexander I. Suciu, et al.. (2018). Functional classification of protein structures by local structure matching in graph representation. Protein Science. 27(6). 1125–1135. 6 indexed citations
14.
Cisneros, G. Andrés, et al.. (2018). Characterization of Nine Cancer-Associated Variants in Human DNA Polymerase κ. Chemical Research in Toxicology. 31(8). 697–711. 12 indexed citations
15.
Ondrechen, Mary Jo, et al.. (2018). Prediction of Active Site and Distal Residues in E. coli DNA Polymerase III alpha Polymerase Activity. Biochemistry. 57(7). 1063–1072. 18 indexed citations
16.
Timson, Rebecca C., et al.. (2017). Identification of the Dimer Exchange Interface of the Bacterial DNA Damage Response Protein UmuD. Biochemistry. 56(36). 4773–4785. 5 indexed citations
17.
Rouzina, Ioulia, et al.. (2017). Single‐molecule mechanochemical characterization of E. coli pol III core catalytic activity. Protein Science. 26(7). 1413–1426. 21 indexed citations
18.
Lu, Xueguang, et al.. (2017). Human Y-Family DNA Polymerase κ Is More Tolerant to Changes in Its Active Site Loop than Its Ortholog Escherichia coli DinB. Chemical Research in Toxicology. 30(11). 2002–2012. 4 indexed citations
19.
Huang, Qiuying, et al.. (2017). Altering the N-terminal arms of the polymerase manager protein UmuD modulates protein interactions. PLoS ONE. 12(3). e0173388–e0173388. 2 indexed citations
20.
Budil, David E., et al.. (2011). Electron spin labeling reveals the highly dynamic N-terminal arms of the SOS mutagenesis protein UmuD. Molecular BioSystems. 7(12). 3183–3186. 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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