Kimberly A. Scata

973 total citations
10 papers, 765 citations indexed

About

Kimberly A. Scata is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Kimberly A. Scata has authored 10 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Kimberly A. Scata's work include Cancer-related Molecular Pathways (3 papers), CRISPR and Genetic Engineering (2 papers) and DNA Repair Mechanisms (2 papers). Kimberly A. Scata is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), CRISPR and Genetic Engineering (2 papers) and DNA Repair Mechanisms (2 papers). Kimberly A. Scata collaborates with scholars based in United States and Spain. Kimberly A. Scata's co-authors include Wafik S. El‐Deiry, David T. Dicker, Peiwen Fei, Timothy F. Burns, Joshua E. Allen, Jun-Ying Zhou, Akshal Patel, Wenge Wang, Gabriel Krigsfeld and Gen Sheng Wu and has published in prestigious journals such as Molecular and Cellular Biology, Science Translational Medicine and Experimental Cell Research.

In The Last Decade

Kimberly A. Scata

10 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kimberly A. Scata United States	8	554	270	192	139	96	10	765
W. Ruprecht Wiedemeyer United States	9	376 0.7×	369 1.4×	223 1.2×	88 0.6×	41 0.4×	12	718
Dieter Prechtel Germany	6	596 1.1×	404 1.5×	311 1.6×	115 0.8×	77 0.8×	10	991
Jennifer Brennan United States	8	867 1.6×	450 1.7×	185 1.0×	79 0.6×	144 1.5×	8	1.1k
Meaghan A. Delaney United States	6	449 0.8×	255 0.9×	140 0.7×	61 0.4×	66 0.7×	7	714
Aparna Gupta United States	14	460 0.8×	170 0.6×	104 0.5×	144 1.0×	67 0.7×	19	778
Kathryn M. Kinross Australia	9	409 0.7×	158 0.6×	88 0.5×	100 0.7×	54 0.6×	16	632
Isil Guney United States	10	610 1.1×	216 0.8×	191 1.0×	79 0.6×	68 0.7×	12	819
Trine Bøttzauw Denmark	6	683 1.2×	281 1.0×	140 0.7×	166 1.2×	75 0.8×	6	978
H E Zhau United States	12	568 1.0×	348 1.3×	335 1.7×	101 0.7×	77 0.8×	16	1.0k
Swati Jalgaonkar United States	5	490 0.9×	458 1.7×	236 1.2×	83 0.6×	74 0.8×	7	782

Countries citing papers authored by Kimberly A. Scata

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly A. Scata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly A. Scata. 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 Kimberly A. Scata. The network helps show where Kimberly A. Scata may publish in the future.

Co-authorship network of co-authors of Kimberly A. Scata

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

All Works

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10 of 10 papers shown

Allen, Joshua E., Gabriel Krigsfeld, Patrick A. Mayes, et al.. (2013). Dual Inactivation of Akt and ERK by TIC10 Signals Foxo3a Nuclear Translocation, TRAIL Gene Induction, and Potent Antitumor Effects. Science Translational Medicine. 5(171). 171ra17–171ra17. 248 indexed citations

Scata, Kimberly A. & Wafik S. El‐Deiry. (2007). p53, BRCA1 and Breast Cancer Chemoresistance. Advances in experimental medicine and biology. 608. 70–86. 35 indexed citations

Scata, Kimberly A. & Wafik S. El‐Deiry. (2006). Taming NEMO to slay cancer cells. Cancer Biology & Therapy. 5(9). 1096–1097. 3 indexed citations

Scata, Kimberly A. & Wafik S. El‐Deiry. (2006). BRCA1 regulation of p53 stability and target expression. 66. 31–31. 2 indexed citations

Corn, Paul G., M. Ricci, Kimberly A. Scata, et al.. (2005). Mxi1 is induced by hypoxia in a HIF-1–dependent manner and protects cells from c-Myc-induced apoptosis. Cancer Biology & Therapy. 4(11). 1285–1294. 99 indexed citations

Scata, Kimberly A. & Wafik S. El‐Deiry. (2004). Zebrafish: Swimming Towards a Role for Fanconi Genes in DNA Repair. Cancer Biology & Therapy. 3(6). 501–502. 12 indexed citations

Burns, Timothy F., Peiwen Fei, Kimberly A. Scata, David T. Dicker, & Wafik S. El‐Deiry. (2003). Silencing of the Novel p53 Target Gene Snk/Plk2 Leads to Mitotic Catastrophe in Paclitaxel (Taxol)-Exposed Cells. Molecular and Cellular Biology. 23(16). 5556–5571. 184 indexed citations

Scata, Kimberly A., et al.. (1999). FGF Receptor Availability Regulates Skeletal Myogenesis. Experimental Cell Research. 250(1). 10–21. 45 indexed citations

Scata, Kimberly A., et al.. (1999). Chromosome Segregation and Cancer. Experimental Cell Research. 253(2). 308–314. 10 indexed citations

10.

Kacinski, Barry M., Darryl Carter, Khushbakhat Mittal, et al.. (1990). Ovarian adenocarcinomas express fms-complementary transcripts and fms antigen, often with coexpression of CSF-1.. PubMed. 137(1). 135–47. 127 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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