Carol Paterson

908 citations
12 papers · 682 indexed · h-index 10
Topics
Cancer Genomics and Diagnostics (3 papers)Congenital heart defects research (3 papers)DNA Repair Mechanisms (2 papers)

In The Last Decade

Carol Paterson

11 papers receiving 667 citations

Peers

Carol Paterson
Comparison fields: 5 of 64
  • Molecular Biology 542
  • Cancer Research 141
  • Oncology 127
  • Genetics 116
  • Cellular and Molecular Neuroscience 63
Replace Keiko Tadokoro with:
Keiko Tadokoro Japan
Yuanheng Ning China
María Élida Scassa Argentina
James A. Grunkemeyer United States
Ri-ichiro Kohno Japan
Deborah Hughes United Kingdom
Cassandra R. Diegel United States
Lieven Haenebalcke Belgium
Yoach Rais Israel
Masayuki Haruta Japan
Carol Paterson relative to Keiko Tadokoro Japan Keiko Tadokoro's profile →
Citations per field
00.5×2.8×
Keiko Tadokoro · 1×
Citations per year

Countries citing papers authored by Carol Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Carol Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Paterson

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 56
2 0
3 104
4 20
5 40
6 91
7 20
8 12
9
Atm knock-in mice harboring an in-frame deletion corresponding to the human ATM 7636del9 common mutation exhibit a variant phenotype.
55
10 228
11 55
12 1

About Carol Paterson

Carol Paterson is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 682 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Congenital heart defects research (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (141 citations), Molecular Biology (542 citations) and Oncology (127 citations). Carol Paterson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Graham F. Kay, Ian D. Tonks, Arne W. Mould, Nicholas K. Hayward, Michael G. Gartside, Ginters Silins, John P. Headrick, Melissa H. Little, Sean M. Grimmond and Margaret C. Cummings. Their work appears in journals such as Circulation Research, Molecular and Cellular Biology and Development.

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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