Ronald Lebofsky

4.3k total citations
18 papers, 1.6k citations indexed

About

Ronald Lebofsky is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ronald Lebofsky has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ronald Lebofsky's work include Cancer Genomics and Diagnostics (7 papers), DNA Repair Mechanisms (6 papers) and Cancer Cells and Metastasis (4 papers). Ronald Lebofsky is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), DNA Repair Mechanisms (6 papers) and Cancer Cells and Metastasis (4 papers). Ronald Lebofsky collaborates with scholars based in France, United States and Switzerland. Ronald Lebofsky's co-authors include Aaron Bensimon, Johannes C. Walter, Vinay K. Kartha, Fabiana M. Duarte, Jennifer Chew, Jason D. Buenrostro, Caleb A. Lareau, Andrew Kohlway, Jean‐Yves Pierga and François‐Clément Bidard and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Molecular Cell.

In The Last Decade

Ronald Lebofsky

17 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronald Lebofsky France	14	1.1k	492	337	178	155	18	1.6k
Agnieszka Wabik United Kingdom	7	793 0.7×	463 0.9×	469 1.4×	100 0.6×	273 1.8×	7	1.4k
Danny Wangsa United States	22	1000 0.9×	469 1.0×	577 1.7×	126 0.7×	463 3.0×	33	1.9k
Simon J. A. Buczacki United Kingdom	16	941 0.8×	339 0.7×	1.0k 3.1×	142 0.8×	408 2.6×	31	1.9k
Robert L. Judson United States	13	1.9k 1.7×	962 2.0×	323 1.0×	55 0.3×	109 0.7×	20	2.2k
Anita Tandle United States	21	766 0.7×	324 0.7×	320 0.9×	122 0.7×	130 0.8×	33	1.2k
Joanne L. Attema Australia	17	1.1k 0.9×	368 0.7×	205 0.6×	82 0.5×	78 0.5×	21	1.8k
Anna M. Nicholson United Kingdom	13	795 0.7×	353 0.7×	813 2.4×	129 0.7×	382 2.5×	18	1.5k
Nik Matthews United Kingdom	17	1.3k 1.2×	414 0.8×	411 1.2×	183 1.0×	111 0.7×	26	1.9k
Caroline Kim-Kiselak United States	11	1.0k 0.9×	265 0.5×	363 1.1×	195 1.1×	165 1.1×	12	1.4k
Rik G.H. Lindeboom Netherlands	19	1.5k 1.3×	365 0.7×	285 0.8×	66 0.4×	240 1.5×	26	1.9k

Countries citing papers authored by Ronald Lebofsky

Since Specialization

Citations

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

Fields of papers citing papers by Ronald Lebofsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Lebofsky

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

All Works

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18 of 18 papers shown

Kartha, Vinay K., Fabiana M. Duarte, Yan Hu, et al.. (2022). Functional inference of gene regulation using single-cell multi-omics. Cell Genomics. 2(9). 100166–100166. 101 indexed citations

Lareau, Caleb A., Fabiana M. Duarte, Jennifer Chew, et al.. (2019). Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility. Nature Biotechnology. 37(8). 916–924. 279 indexed citations

Chew, Jennifer, et al.. (2017). High-Throughput Single-Cell RNA-Seq of Large Cells and Nuclei. Genetic Engineering & Biotechnology News. 37(17). 12–13.

Wiley, Christopher D., James M. Flynn, Christapher S. Morrissey, et al.. (2017). Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence. Aging Cell. 16(5). 1043–1050. 172 indexed citations

Autebert, Julien, Bruno Coudert, Jérôme Champ, et al.. (2015). High purity microfluidic sorting and analysis of circulating tumor cells: towards routine mutation detection. Lab on a Chip. 15(9). 2090–2101. 58 indexed citations

Bidard, François‐Clément, Jordan Madic, Anna Kiialainen, et al.. (2015). Abstract PD3-8: Circulating tumor DNA and circulating tumor cells in metastatic triple negative breast cancer patients. Cancer Research. 75(9_Supplement). PD3–8. 2 indexed citations

Lebofsky, Ronald, Charles Decraene, Virginie Bernard, et al.. (2014). Circulating tumor DNA as a non‐invasive substitute to metastasis biopsy for tumor genotyping and personalized medicine in a prospective trial across all tumor types. Molecular Oncology. 9(4). 783–790. 216 indexed citations

Rycke, Yann De, et al.. (2013). Abstract OT1-1-10: CirCe T-DM1 phase II trial: Assessing the relevance of HER2-amplified circulating tumor cells as a tool to select HER2-negative metastatic breast cancer for treatment with T-DM1. Cancer Research. 73(24_Supplement). OT1–1. 1 indexed citations

Bidard, François‐Clément, Lisa Belin, Suzette Delaloge, et al.. (2013). Time-Dependent Prognostic Impact of Circulating Tumor Cells Detection in Non-Metastatic Breast Cancer: 70-Month Analysis of the REMAGUS02 Study. International Journal of Breast Cancer. 2013. 1–5. 47 indexed citations

10.

Bidard, François‐Clément, Jordan Madic, Pascale Mariani, et al.. (2013). Detection rate and prognostic value of circulating tumor cells and circulating tumor DNA in metastatic uveal melanoma. International Journal of Cancer. 134(5). 1207–1213. 146 indexed citations

11.

Ozeri-Galai, E., Ronald Lebofsky, Ayelet Rahat, et al.. (2011). Failure of Origin Activation in Response to Fork Stalling Leads to Chromosomal Instability at Fragile Sites. Molecular Cell. 43(1). 122–131. 137 indexed citations

12.

Lebofsky, Ronald, Antoine M. van Oijen, & Johannes C. Walter. (2010). DNA is a co-factor for its own replication in Xenopus egg extracts. Nucleic Acids Research. 39(2). 545–555. 12 indexed citations

13.

Lebofsky, Ronald, Tatsuro Takahashi, & Johannes C. Walter. (2009). DNA Replication in Nucleus-Free Xenopus Egg Extracts. Methods in molecular biology. 521. 229–252. 94 indexed citations

14.

Lebofsky, Ronald & Johannes C. Walter. (2007). New Myc-anisms for DNA Replication and Tumorigenesis?. Cancer Cell. 12(2). 102–103. 25 indexed citations

15.

Lebofsky, Ronald, Roland Heilig, Max Sonnleitner, Jean Weissenbach, & Aaron Bensimon. (2006). DNA Replication Origin Interference Increases the Spacing between Initiation Events in Human Cells. Molecular Biology of the Cell. 17(12). 5337–5345. 112 indexed citations

16.

Lebofsky, Ronald & Aaron Bensimon. (2005). DNA Replication Origin Plasticity and Perturbed Fork Progression in Human Inverted Repeats. Molecular and Cellular Biology. 25(15). 6789–6797. 51 indexed citations

17.

Caburet, Sandrine, Chiara Conti, Catherine Schurra, et al.. (2005). Human ribosomal RNA gene arrays display a broad range of palindromic structures. Genome Research. 15(8). 1079–1085. 111 indexed citations

18.

Lebofsky, Ronald. (2003). Single DNA molecule analysis: Applications of molecular combing. Briefings in Functional Genomics and Proteomics. 1(4). 385–396. 48 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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