D.N. Cooper
Impact in
- Genetics top 0.02%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Hematology top 0.2%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 74
- RNA modifications and cancer 54
- Genomics and Phylogenetic Studies 37
- Genetics 205
- Genomics and Rare Diseases 105
- Genomic variations and chromosomal abnormalities 82
- Co-authors
- Michael Krawczak (61 shared papers)Peter D. Stenson (65 shared papers)Matthew Mort (70 shared papers)Edward V. Ball (23 shared papers)S H Barondes (12 shared papers)Andrew D. Phillips (9 shared papers)Nadia Chuzhanova (56 shared papers)Hildegard Kehrer‐Sawatzki (59 shared papers)
- Journals
- Human Genetics (103 papers)Human Mutation (75 papers)Nucleic Acids Research (24 papers)Human Genomics (24 papers)Thrombosis and Haemostasis (11 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
D.N. Cooper
556 papers receiving 34.4k citations
D.N. Cooper's Hit Papers
Peers
Comparison fields: 5 of 201
- Genetics 9.5k
- Hematology 2.9k
- Molecular Biology 18.0k
- Cancer Research 2.6k
- Immunology 3.5k
Countries citing papers authored by D.N. Cooper
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
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-authors
The 25 scholars most cited alongside D.N. Cooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 571 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Gene Mutation Database (HGMD®): 2003 update Hit paper breakdown → | 2003 | 1367 |
| 2 | Galectins. Structure and function of a large family of animal lectins. Hit paper breakdown → | 1994 | 1294 |
| 3 | The mutational spectrum of single base-pair substitutions in mRNA splice junctions of human genes: Causes and consequences Hit paper breakdown → | 1992 | 1120 |
| 4 | The Human Gene Mutation Database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine Hit paper breakdown → | 2013 | 967 |
| 5 | The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies Hit paper breakdown → | 2017 | 934 |
| 6 | Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models Hit paper breakdown → | 2012 | 921 |
| 7 | The CpG dinucleotide and human genetic disease Hit paper breakdown → | 1988 | 782 |
| 8 | Classification of human epithelia and their neoplasms using monoclonal antibodies to keratins: strategies, applications, and limitations. Hit paper breakdown → | 1985 | 652 |
| 9 | The Human Gene Mutation Database: 2008 update Hit paper breakdown → | 2009 | 635 |
| 10 | Automated inference of molecular mechanisms of disease from amino acid substitutions Hit paper breakdown → | 2009 | 629 |
| 11 | M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity Hit paper breakdown → | 2016 | 522 |
| 12 | 2007 | 463 | |
| 13 | 1998 | 457 | |
| 14 | Inferring the molecular and phenotypic impact of amino acid variants with MutPred2 Hit paper breakdown → | 2020 | 445 |
| 15 | An integrative approach to predicting the functional effects of non-coding and coding sequence variation Hit paper breakdown → | 2015 | 443 |
| 16 | The Human Gene Mutation Database (HGMD®): optimizing its use in a clinical diagnostic or research setting Hit paper breakdown → | 2020 | 435 |
| 17 | 1991 | 416 | |
| 18 | Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease Hit paper breakdown → | 2013 | 407 |
| 19 | 1990 | 396 | |
| 20 | Identifying Mendelian disease genes with the Variant Effect Scoring Tool Hit paper breakdown → | 2013 | 381 |
About D.N. Cooper
D.N. Cooper is a scholar working on Molecular Biology, Genetics, Hematology, Neurology and Plant Science, having authored 571 papers that have together received 35.2k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (105 papers), Genomic variations and chromosomal abnormalities (82 papers), RNA and protein synthesis mechanisms (74 papers), Blood Coagulation and Thrombosis Mechanisms (60 papers), RNA modifications and cancer (54 papers), Chromosomal and Genetic Variations (43 papers), Neurofibromatosis and Schwannoma Cases (42 papers) and Genomics and Phylogenetic Studies (37 papers). The work is most often cited by research in Genetics (9.5k citations), Hematology (2.9k citations), Molecular Biology (18.0k citations), Cancer Research (2.6k citations) and Immunology (3.5k citations). D.N. Cooper has collaborated with scholars based in United Kingdom, United States and Germany. Frequent 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. Their work appears in journals such as Human Genetics, Human Mutation, Nucleic Acids Research, Human Genomics and Thrombosis and Haemostasis.
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.