Kimberly A. Scata

973 citations
10 papers · 765 indexed · h-index 8
Topics
Cancer-related Molecular Pathways (3 papers)DNA Repair Mechanisms (2 papers)CRISPR and Genetic Engineering (2 papers)
Partner nations
United StatesSpain

In The Last Decade

Kimberly A. Scata

10 papers receiving 755 citations

Peers

Kimberly A. Scata
Comparison fields: 5 of 73
  • Molecular Biology 554
  • Oncology 270
  • Cancer Research 192
  • Cell Biology 139
  • Immunology 96
Replace Dieter Prechtel with:
Dieter Prechtel Germany
Marisa Mariani United States
W. Ruprecht Wiedemeyer United States
Romina Dossi Italy
Junhye Kwon South Korea
Rinat Keren United States
Baek Gil Kim South Korea
Swati Jalgaonkar United States
Isil Guney United States
Kathryn M. Kinross Australia
Kimberly A. Scata relative to Dieter Prechtel Germany Dieter Prechtel's profile →
Citations per field
00.5×1.5×2.3×
Dieter Prechtel · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 248
2 35
3 3
4
BRCA1 regulation of p53 stability and target expression
2
5 99
6 12
7 184
8 10
9 45
10
Ovarian adenocarcinomas express fms-complementary transcripts and fms antigen, often with coexpression of CSF-1.
127

About Kimberly A. Scata

Kimberly A. Scata is a scholar working on Toxicology, Oncology and Cancer Research, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (192 citations), Oncology (270 citations) and Cell Biology (139 citations). Kimberly A. Scata has collaborated with scholars based in United States and Spain. Frequent co-authors include Wafik S. El‐Deiry, David T. Dicker, Timothy F. Burns, Peiwen Fei, Jun-Ying Zhou, Akshal Patel, Wenge Wang, Gen Sheng Wu, Patrick A. Mayes and Joshua E. Allen. Their work appears in journals such as Molecular and Cellular Biology, Science Translational Medicine and Experimental Cell Research.

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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