C. Mattocks

573 citations
12 papers · 369 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • BRCA gene mutations in cancer

Papers in

    • Genomics and Rare Diseases 7
    • Genomic variations and chromosomal abnormalities 2
    • BRCA gene mutations in cancer 1
    • Genomics and Phylogenetic Studies 2

C. Mattocks

12 papers receiving 358 citations

Peers

C. Mattocks
Comparison fields: 5 of 63
  • Cancer Research 63
  • Genetics 111
  • Immunology 64
  • Cell Biology 39
  • Pathology and Forensic Medicine 35
Replace Yanming Feng with:
Yanming Feng United States
Katrina L. Scarff Australia
Christine M. Matullo United States
Sutha K. John United States
Duozhuang Tang China
Chuanbing Zhu China
Kumiko Yoshinobu Japan
Ilaria Gori United Kingdom
Mathieu Darsigny Canada
Norihiro Goto Japan
C. Mattocks relative to Yanming Feng United States Yanming Feng's profile →
Citations per field
00.5×2.9×
Yanming Feng · 1×
Citations per year

Countries citing papers authored by C. Mattocks

Since Specialization
Citations

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

Fields of papers citing papers by C. Mattocks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Mattocks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Mattocks Line = papers co-authored together C. Mattocks links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010149
2 201749
3 201746
4 201345
5 201718
6 200018
7 201010
8 202010
9 20199
10 20078
11 20176
12
An evaluation of the MassCLEAVE(tm) biochemistry for diagnostic screening
20041

About C. Mattocks

C. Mattocks is a scholar working on Genetics, Molecular Biology, Cancer Research, Cell Biology and Immunology, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Cancer Genomics and Diagnostics (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), melanin and skin pigmentation (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomic variations and chromosomal abnormalities (2 papers), BRCA gene mutations in cancer (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Cancer Research (63 citations), Genetics (111 citations), Immunology (64 citations), Cell Biology (39 citations) and Pathology and Forensic Medicine (35 citations). C. Mattocks has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Reuben J. Pengelly, Gert Matthijs, Michael A. Morris, Anniek Corveleyn, Elfriede Swinnen, Sarah Ennis, Andrew J. Wallace, Clemens Müller, Victoria M. Pratt and Daniel Ward. Their work appears in journals such as Scientific Reports, Human Mutation, Clinical Chemistry, European Journal of Human Genetics and Bioinformatics.

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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