C. Mattocks

563 total citations
11 papers, 348 citations indexed

About

C. Mattocks is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, C. Mattocks has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in C. Mattocks's work include Genomics and Rare Diseases (7 papers), Cancer Genomics and Diagnostics (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). C. Mattocks is often cited by papers focused on Genomics and Rare Diseases (7 papers), Cancer Genomics and Diagnostics (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). C. Mattocks collaborates with scholars based in United Kingdom, United States and Netherlands. C. Mattocks's co-authors include Reuben J. Pengelly, Gert Matthijs, Sarah Ennis, Victoria M. Pratt, Michael A. Morris, Andrew J. Wallace, Elfriede Swinnen, Anniek Corveleyn, Elisabeth Dequeker and Clemens Müller and has published in prestigious journals such as Bioinformatics, Scientific Reports and Clinical Chemistry.

In The Last Decade

C. Mattocks

11 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Mattocks United Kingdom	9	150	122	74	67	42	11	348
Misuzu Ueki Japan	13	307 2.0×	118 1.0×	45 0.6×	150 2.2×	19 0.5×	57	522
Mathieu Darsigny Canada	9	217 1.4×	111 0.9×	59 0.8×	67 1.0×	15 0.4×	10	385
Barbara Pietrucha Poland	12	283 1.9×	114 0.9×	84 1.1×	152 2.3×	57 1.4×	43	556
Yanming Feng United States	11	213 1.4×	111 0.9×	44 0.6×	25 0.4×	16 0.4×	22	400
Hemanth Tummala United Kingdom	14	406 2.7×	135 1.1×	50 0.7×	76 1.1×	45 1.1×	35	621
Andrew Crenshaw United States	8	236 1.6×	182 1.5×	73 1.0×	43 0.6×	55 1.3×	12	664
Gaia Andreoletti United States	15	233 1.6×	152 1.2×	35 0.5×	81 1.2×	26 0.6×	23	479
Ilaria Gori United Kingdom	12	294 2.0×	83 0.7×	42 0.6×	163 2.4×	32 0.8×	17	596
Katrina L. Scarff Australia	7	146 1.0×	50 0.4×	54 0.7×	65 1.0×	15 0.4×	9	312
Xueyuan Jia China	12	173 1.2×	71 0.6×	83 1.1×	69 1.0×	22 0.5×	47	353

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-authorship network of co-authors of C. Mattocks

This figure shows the co-authorship network connecting the top 25 collaborators of C. Mattocks. A scholar is included among the top collaborators of C. Mattocks 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 C. Mattocks. C. Mattocks 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

Pengelly, Reuben J., Daniel Ward, David Hunt, C. Mattocks, & Sarah Ennis. (2020). Comparison of Mendeliome exome capture kits for use in clinical diagnostics. Scientific Reports. 10(1). 3235–3235. 9 indexed citations

Crosby, Andrew H., C. Mattocks, Angela J. Cree, et al.. (2019). A small gene sequencing panel realises a high diagnostic rate in patients with congenital nystagmus following basic phenotyping. Scientific Reports. 9(1). 13229–13229. 9 indexed citations

Gibson, Jane Whitney, Reuben J. Pengelly, Diana Baralle, et al.. (2017). Identification of a functionally significant tri-allelic genotype in the Tyrosinase gene (TYR) causing hypomorphic oculocutaneous albinism (OCA1B). Scientific Reports. 7(1). 4415–4415. 46 indexed citations

Rae, William, Daniel Ward, C. Mattocks, et al.. (2017). Clinical efficacy of a next‐generation sequencing gene panel for primary immunodeficiency diagnostics. Clinical Genetics. 93(3). 647–655. 45 indexed citations

Rae, William, Daniel Ward, C. Mattocks, et al.. (2017). Autoimmunity/inflammation in a monogenic primary immunodeficiency cohort. Clinical & Translational Immunology. 6(9). e155–e155. 15 indexed citations

White, Stefan J., Jeroen F. J. Laros, Egbert Bakker, et al.. (2017). Critical points for an accurate human genome analysis. Human Mutation. 38(8). 912–921. 4 indexed citations

Pengelly, Reuben J., Jane Whitney Gibson, Gaia Andreoletti, et al.. (2013). A SNP profiling panel for sample tracking in whole-exome sequencing studies. Genome Medicine. 5(9). 89–89. 44 indexed citations

Mattocks, C., Michael A. Morris, Gert Matthijs, et al.. (2010). A standardized framework for the validation and verification of clinical molecular genetic tests. European Journal of Human Genetics. 18(12). 1276–1288. 141 indexed citations

Mattocks, C., Daniel Ward, Tom Janssens, et al.. (2010). Interlaboratory Diagnostic Validation of Conformation-Sensitive Capillary Electrophoresis for Mutation Scanning. Clinical Chemistry. 56(4). 593–602. 10 indexed citations

10.

Dicks, Ed, Jon W. Teague, Philip Stephens, et al.. (2007). AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. Bioinformatics. 23(13). 1689–1691. 8 indexed citations

11.

Mattocks, C., Patrick Tarpey, Martin Bobrow, & John C. Whittaker. (2000). Comparative sequence analysis (CSA): A new sequence-based method for the identification and characterization of mutations in DNA. Human Mutation. 16(5). 437–443. 17 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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