D.N. Cooper

100.4k total citations · 18 hit papers
568 papers, 34.9k citations indexed

About

D.N. Cooper is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, D.N. Cooper has authored 568 papers receiving a total of 34.9k indexed citations (citations by other indexed papers that have themselves been cited), including 303 papers in Molecular Biology, 215 papers in Genetics and 74 papers in Hematology. Recurrent topics in D.N. Cooper's work include Genomics and Rare Diseases (111 papers), Genomic variations and chromosomal abnormalities (84 papers) and RNA and protein synthesis mechanisms (80 papers). D.N. Cooper is often cited by papers focused on Genomics and Rare Diseases (111 papers), Genomic variations and chromosomal abnormalities (84 papers) and RNA and protein synthesis mechanisms (80 papers). D.N. Cooper collaborates with scholars based in United Kingdom, United States and Germany. D.N. Cooper's co-authors include Michael Krawczak, Peter D. Stenson, Matthew Mort, Edward V. Ball, S H Barondes, Andrew D. Phillips, Nadia Chuzhanova, Hildegard Kehrer‐Sawatzki, Jian‐Min Chen and Jochen Reiss and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

D.N. Cooper

555 papers receiving 34.2k citations

Hit Papers

Human Gene Mutation Database (HGMD®): 2003 update 1985 2026 1998 2012 2003 1994 1992 2013 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.N. Cooper United Kingdom 90 19.9k 10.5k 3.7k 3.0k 3.0k 568 34.9k
Stylianos E. Antonarakis Switzerland 102 21.9k 1.1× 13.3k 1.3× 2.8k 0.8× 5.4k 1.8× 3.4k 1.1× 602 40.8k
Peter Lichter Germany 100 19.4k 1.0× 7.2k 0.7× 5.3k 1.4× 2.3k 0.8× 6.0k 2.0× 490 36.6k
Uta Francke United States 99 24.1k 1.2× 14.5k 1.4× 4.8k 1.3× 1.7k 0.6× 2.5k 0.8× 503 41.9k
Frank Grosveld Netherlands 105 27.5k 1.4× 7.1k 0.7× 4.4k 1.2× 2.4k 0.8× 2.3k 0.8× 391 38.5k
David E. Housman United States 104 32.2k 1.6× 9.2k 0.9× 3.0k 0.8× 2.5k 0.8× 3.8k 1.3× 329 47.8k
Sherri J. Bale United States 52 14.7k 0.7× 12.9k 1.2× 1.5k 0.4× 990 0.3× 2.9k 0.9× 142 29.9k
Wayne W. Grody United States 45 11.9k 0.6× 12.1k 1.2× 1.5k 0.4× 1.1k 0.4× 3.1k 1.0× 168 28.7k
Arthur L. Beaudet United States 93 17.7k 0.9× 12.5k 1.2× 4.2k 1.1× 1.1k 0.4× 1.7k 0.6× 337 30.3k
Karl V. Voelkerding United States 32 11.2k 0.6× 9.8k 0.9× 1.4k 0.4× 1.2k 0.4× 2.6k 0.9× 86 23.1k
George Q. Daley United States 103 36.8k 1.9× 5.5k 0.5× 3.4k 0.9× 7.4k 2.4× 4.9k 1.6× 391 50.3k

Countries citing papers authored by D.N. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by D.N. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.N. Cooper. 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 D.N. Cooper. The network helps show where D.N. Cooper may publish in the future.

Co-authorship network of co-authors of D.N. Cooper

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

All Works

20 of 20 papers shown
1.
Zhuang, Xiao-Lin, Yong Shao, Chunyan Chen, et al.. (2024). Divergent Evolutionary Rates of Primate Brain Regions as Revealed by Genomics and Transcriptomics. Genome Biology and Evolution. 16(2). 1 indexed citations
2.
Hu, Jiang, Zhuo Wang, Zongyi Sun, et al.. (2024). NextDenovo: an efficient error correction and accurate assembly tool for noisy long reads. Genome biology. 25(1). 107–107. 154 indexed citations breakdown →
4.
Hong, Celine, et al.. (2023). Genome-wide identification of dominant polyadenylation hexamers for use in variant classification. Human Molecular Genetics. 32(23). 3211–3224. 1 indexed citations
6.
Stenson, Peter D., Edward V. Ball, John A. Tainer, et al.. (2021). Distinct sequence features underlie microdeletions and gross deletions in the human genome. Human Mutation. 43(3). 328–346. 5 indexed citations
7.
Steinhaus, Robin, Sebastian Proft, Markus Schuelke, et al.. (2021). MutationTaster2021. Nucleic Acids Research. 49(W1). W446–W451. 167 indexed citations breakdown →
8.
Rausell, Antonio, Marie Lopez, Yoann Seeleuthner, et al.. (2020). Common homozygosity for predicted loss-of-function variants reveals both redundant and advantageous effects of dispensable human genes. Proceedings of the National Academy of Sciences. 117(24). 13626–13636. 17 indexed citations
10.
Johnston, Jennifer J., Kathleen A. Williamson, Julie C. Sapp, et al.. (2019). NAA10 polyadenylation signal variants cause syndromic microphthalmia. Journal of Medical Genetics. 56(7). 444–452. 22 indexed citations
11.
Zhang, Peng, Bertrand Boisson, Peter D. Stenson, et al.. (2019). SeqTailor: a user-friendly webserver for the extraction of DNA or protein sequences from next-generation sequencing data. Nucleic Acids Research. 47(W1). W623–W631. 11 indexed citations
12.
Ismail, Wazim Mohammed, Kymberleigh A. Pagel, Vikas Pejaver, et al.. (2018). The sequencing and interpretation of the genome obtained from a Serbian individual. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
13.
Stenson, Peter D., Matthew Mort, Edward V. Ball, et al.. (2017). The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies. Human Genetics. 136(6). 665–677. 921 indexed citations breakdown →
14.
Li, Meng, Weixing Feng, Xinjun Zhang, et al.. (2017). ExonImpact: Prioritizing Pathogenic Alternative Splicing Events. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
15.
Cooper, D.N., et al.. (2016). An ingested mobile phone in the stomach may not be amenable to safe endoscopic removal using current therapeutic devices: A case report. International Journal of Surgery Case Reports. 22. 86–89. 5 indexed citations
16.
Cooper, D.N., Jian‐Min Chen, Edward V. Ball, et al.. (2010). Genes, mutations, and human inherited disease at the dawn of the age of personalized genomics. Human Mutation. 31(6). 631–655. 119 indexed citations
17.
Cooper, D.N. & Matthew Mort. (2010). Do Inherited Disease Genes Have Distinguishing Functional Characteristics?. Genetic Testing and Molecular Biomarkers. 14(3). 289–291. 3 indexed citations
18.
Cooper, D.N., Edward V. Ball, & Matthew Mort. (2010). Chromosomal Distribution of Disease Genes in the Human Genome. Genetic Testing and Molecular Biomarkers. 14(4). 441–446. 3 indexed citations
19.
Li, Biao, Vidhya G. Krishnan, Matthew Mort, et al.. (2009). Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics. 25(21). 2744–2750. 623 indexed citations breakdown →
20.
Cooper, D.N. & Hildegard Kehrer‐Sawatzki. (2008). Handbook of human molecular evolution. John Wiley eBooks. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026