Kate Beishline

900 total citations
11 papers, 706 citations indexed

About

Kate Beishline is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Kate Beishline has authored 11 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Physiology. Recurrent topics in Kate Beishline's work include DNA Repair Mechanisms (8 papers), Genomics and Chromatin Dynamics (5 papers) and Cancer-related Molecular Pathways (4 papers). Kate Beishline is often cited by papers focused on DNA Repair Mechanisms (8 papers), Genomics and Chromatin Dynamics (5 papers) and Cancer-related Molecular Pathways (4 papers). Kate Beishline collaborates with scholars based in United States. Kate Beishline's co-authors include Jane Azizkhan‐Clifford, Paul M. Lieberman, Zhuo Wang, Zhong Deng, Olga Vladimirova, Sravanthi Koduri, Roger A. Greenberg, Crystal Kelly, Beatrix A. Olofsson and Jacqueline Emrich and has published in prestigious journals such as Nature Communications, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

Kate Beishline

11 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate Beishline United States	9	557	164	140	96	57	11	706
Sudha Mannava United States	9	631 1.1×	201 1.2×	207 1.5×	108 1.1×	55 1.0×	11	757
Alkmini Kalousi Greece	10	574 1.0×	275 1.7×	159 1.1×	60 0.6×	41 0.7×	13	712
Peiwei Huangyang China	10	496 0.9×	280 1.7×	124 0.9×	57 0.6×	65 1.1×	10	668
Yogev Sela United States	8	533 1.0×	234 1.4×	215 1.5×	66 0.7×	111 1.9×	13	764
Min-Sik Lee South Korea	10	491 0.9×	166 1.0×	179 1.3×	47 0.5×	65 1.1×	14	629
Mariela C. Marazita Argentina	12	350 0.6×	80 0.5×	182 1.3×	63 0.7×	61 1.1×	17	588
Samah El Ghamrasni Canada	12	523 0.9×	274 1.7×	208 1.5×	56 0.6×	53 0.9×	16	752
Crystal Cornelius United States	10	384 0.7×	111 0.7×	135 1.0×	83 0.9×	60 1.1×	11	565
Jeung-Whan Han South Korea	17	797 1.4×	125 0.8×	136 1.0×	54 0.6×	69 1.2×	27	957
Niels van den Broek United Kingdom	6	597 1.1×	166 1.0×	171 1.2×	33 0.3×	47 0.8×	7	696

Countries citing papers authored by Kate Beishline

Since Specialization

Citations

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

Fields of papers citing papers by Kate Beishline

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Beishline

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

All Works

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11 of 11 papers shown

1.

Beishline, Kate, et al.. (2021). Sp1-dependent recruitment of the histone acetylase p300 to DSBs facilitates chromatin remodeling and recruitment of the NHEJ repair factor Ku70. DNA repair. 105. 103171–103171. 11 indexed citations

2.

Beishline, Kate, et al.. (2021). DSB repair pathway choice is regulated by recruitment of 53BP1 through cell cycle-dependent regulation of Sp1. Cell Reports. 34(11). 108840–108840. 34 indexed citations

3.

Deng, Zhong, Nitish Gulve, Olga Vladimirova, et al.. (2019). Elevated telomere dysfunction in cells containing the African-centric Pro47Ser cancer-risk variant of TP53. Oncotarget. 10(38). 3581–3591. 4 indexed citations

4.

Beishline, Kate, et al.. (2017). CTCF driven TERRA transcription facilitates completion of telomere DNA replication. Nature Communications. 8(1). 2114–2114. 66 indexed citations

5.

Torabi, Behzad, et al.. (2017). Caspase cleavage of transcription factor Sp1 enhances apoptosis. APOPTOSIS. 23(1). 65–78. 21 indexed citations

6.

Stong, Nicholas, Olga Vladimirova, Andreas Wiedmer, et al.. (2015). Subtelomeric p53 binding prevents accumulation of DNA damage at human telomeres. The EMBO Journal. 35(2). 193–207. 48 indexed citations

7.

Beishline, Kate & Jane Azizkhan‐Clifford. (2014). Interplay Between the Cell Cycle and Double-Strand Break Response in Mammalian Cells. Methods in molecular biology. 1170. 41–59. 19 indexed citations

8.

Beishline, Kate & Jane Azizkhan‐Clifford. (2014). Sp1 and the ‘hallmarks of cancer’. FEBS Journal. 282(2). 224–258. 420 indexed citations

9.

Inoue, Akira, et al.. (2013). Roles of ChlR1 DNA helicase in replication recovery from DNA damage. Experimental Cell Research. 319(14). 2244–2253. 26 indexed citations

10.

Beishline, Kate, et al.. (2013). Transcription Factor Sp1 Promotes Chromatin Remodeling at DNA Double‐Strand Breaks. The FASEB Journal. 27(S1). 2 indexed citations

11.

Beishline, Kate, Crystal Kelly, Beatrix A. Olofsson, et al.. (2012). Sp1 Facilitates DNA Double-Strand Break Repair through a Nontranscriptional Mechanism. Molecular and Cellular Biology. 32(18). 3790–3799. 55 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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