Charles A. Laughton
- Molecular Biology top 0.5%
- DNA and Nucleic Acid Chemistry 62
- Protein Structure and Dynamics 38
- RNA and protein synthesis mechanisms 28
- Advanced biosensing and bioanalysis techniques 22
- RNA Interference and Gene Delivery 13
- Toxicology top 1%
- Pharmacology top 1%
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- Computational Drug Discovery Methods 12
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- Estrogen and related hormone effects 14
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- Enzyme Structure and Function 12
- Co-authors
- Modesto OrozcoAlberto PérezJiřı́ ŠponerThomas E. CheathamDaniel SvozilSarah A. HarrisStephen NeidleYeh‐Chih Kao
- Journals
- Journal of the American Chemical Society (11 papers)Physical Review Letters (1 paper)Nucleic Acids Research (13 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Charles A. Laughton
168 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 6.5k
- Toxicology 134
- Physical and Theoretical Chemistry 337
- Pharmacology 266
- Computational Theory and Mathematics 440
Countries citing papers authored by Charles A. Laughton
This map shows the geographic impact of Charles A. Laughton'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 Charles A. Laughton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles A. Laughton more than expected).
Fields of papers citing papers by Charles A. Laughton
This network shows the impact of papers produced by Charles A. Laughton. 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 Charles A. Laughton. The network helps show where Charles A. Laughton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles A. Laughton, 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 | 2025 | 6 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2017 | 15 | |
| 8 | 2016 | 31 | |
| 9 | Parmbsc1: a refined force field for DNA simulationsbreakdown → | 2015 | 822 |
| 10 | 2010 | 9 | |
| 11 | 2008 | 13 | |
| 12 | 2006 | 14 | |
| 13 | 2005 | 33 | |
| 14 | 2003 | 47 | |
| 15 | 2001 | 16 | |
| 16 | 1999 | 24 | |
| 17 | Binding characteristics of seven inhibitors of human aromatase: a site-directed mutagenesis study. | 1996 | 84 |
| 18 | 1992 | 32 | |
| 19 | 1990 | 52 | |
| 20 | 1989 | 4 |
About Charles A. Laughton
Charles A. Laughton is a scholar working on Molecular Biology, Pharmacology and Archeology, having authored 170 papers that have together received 8.3k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (62 papers), Protein Structure and Dynamics (38 papers), RNA and protein synthesis mechanisms (28 papers), Advanced biosensing and bioanalysis techniques (22 papers), Estrogen and related hormone effects (14 papers), RNA Interference and Gene Delivery (13 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Toxicology (134 citations) and Physical and Theoretical Chemistry (337 citations). Charles A. Laughton has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Modesto Orozco, Alberto Pérez, Jiřı́ Šponer, Thomas E. Cheatham, Daniel Svozil, Sarah A. Harris, Stephen Neidle, Yeh‐Chih Kao, Malcolm F. G. Stevens and George C. Shields. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Nucleic Acids 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.