Duncan J. Smith
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
Papers in
-
- DNA Repair Mechanisms 18
- Genomics and Chromatin Dynamics 15
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 8
- CRISPR and Genetic Engineering 8
- RNA Research and Splicing 7
- DNA and Nucleic Acid Chemistry 3
- Co-authors
- Iestyn WhitehouseMaria M. KonarskaCharles C. QueryConrad E. JohansonRichard F. KeepTony T. HuangMalik KahliDavid Fenyö
- Journals
- Molecular Cell (5 papers)RNA (3 papers)Nature Structural & Molecular Biology (3 papers)PLoS Genetics (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Duncan J. Smith
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.1k
- Cancer Research 89
- Genetics 128
- Cell Biology 72
- Oncology 119
Countries citing papers authored by Duncan J. Smith
This map shows the geographic impact of Duncan J. Smith'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 Duncan J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan J. Smith more than expected).
Fields of papers citing papers by Duncan J. Smith
This network shows the impact of papers produced by Duncan J. Smith. 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 Duncan J. Smith. The network helps show where Duncan J. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Duncan J. Smith, 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 | 2024 | 3 | |
| 2 | 2024 | 9 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 33 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 13 | |
| 7 | 2018 | 31 | |
| 8 | 2018 | 104 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 61 | |
| 11 | 2015 | 8 | |
| 12 | 2015 | 153 | |
| 13 | 2013 | 23 | |
| 14 | 2013 | 73 | |
| 15 | 2012 | 221 | |
| 16 | 2009 | 35 | |
| 17 | 2008 | 7 | |
| 18 | 2007 | 17 | |
| 19 | 2005 | 29 | |
| 20 | 1996 | 13 |
About Duncan J. Smith
Duncan J. Smith is a scholar working on Molecular Biology, Immunology and Allergy, Clinical Biochemistry, Oncology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (18 papers), Genomics and Chromatin Dynamics (15 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (8 papers), CRISPR and Genetic Engineering (8 papers), RNA Research and Splicing (7 papers), DNA and Nucleic Acid Chemistry (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (89 citations), Genetics (128 citations), Cell Biology (72 citations) and Oncology (119 citations). Duncan J. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Iestyn Whitehouse, Maria M. Konarska, Charles C. Query, Conrad E. Johanson, Richard F. Keep, Tony T. Huang, Malik Kahli, David Fenyö, Sarah Keegan and Frank Uhlmann. Their work appears in journals such as Molecular Cell, RNA, Nature Structural & Molecular Biology, PLoS Genetics and Nature Communications.
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.