D.N. Cooper
- Genetics top 0.02%
- Genomics and Rare Diseases 111
- Genomic variations and chromosomal abnormalities 84
- Molecular Biology top 0.05%
- RNA and protein synthesis mechanisms 80
- RNA modifications and cancer 59
- Genomics and Phylogenetic Studies 40
- Hematology top 0.2%
- Blood Coagulation and Thrombosis Mechanisms 61
- Cancer Research top 0.2%
- Immunology top 0.5%
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- Chromosomal and Genetic Variations 45
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- Neurofibromatosis and Schwannoma Cases 42
- Co-authors
- Michael KrawczakPeter D. StensonMatthew MortEdward V. BallS H BarondesAndrew D. PhillipsNadia ChuzhanovaHildegard Kehrer‐Sawatzki
- Cited by
- GeneticsMolecular BiologyHematology
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
D.N. Cooper
555 papers receiving 34.2k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Genetics 10.5k
- Molecular Biology 19.9k
- Hematology 3.0k
- Cancer Research 3.0k
- Immunology 3.7k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 5 | |
| 12 | Inferring the molecular and phenotypic impact of amino acid variants with MutPred2breakdown → | 2020 | 426 |
| 13 | 2020 | 56 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 45 | |
| 16 | 2018 | 3 | |
| 17 | 2017 | 8 | |
| 18 | Automated inference of molecular mechanisms of disease from amino acid substitutionsbreakdown → | 2009 | 623 |
| 19 | Handbook of human molecular evolution | 2008 | 15 |
| 20 | 1983 | 10 |
About D.N. Cooper
D.N. Cooper is a scholar working on Genetics, Hematology and Molecular Biology, having authored 568 papers that have together received 34.9k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (111 papers), Genomic variations and chromosomal abnormalities (84 papers), RNA and protein synthesis mechanisms (80 papers), Blood Coagulation and Thrombosis Mechanisms (61 papers), RNA modifications and cancer (59 papers), Chromosomal and Genetic Variations (45 papers), Neurofibromatosis and Schwannoma Cases (42 papers) and Genomics and Phylogenetic Studies (40 papers). The work is most often cited by research in Genetics (10.5k citations), Molecular Biology (19.9k citations) and Hematology (3.0k 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 Cytogenetic and Genome Research.
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.