Stephen Will
Impact in
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- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
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- Carcinogens and Genotoxicity Assessment
Papers in
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- Advanced biosensing and bioanalysis techniques 4
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 2
- Molecular Biology Techniques and Applications 2
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 1
- Co-authors
- Francis Johnson (3 shared papers)Chi-Hsiung Chang (1 shared paper)Masaru Takeshita (1 shared paper)A.P. Grollman (1 shared paper)Corey Levenson (2 shared papers)Ernest S. Kawasaki (1 shared paper)Mazie Coyne (1 shared paper)Keith Baverstock (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of the Chemical Society Perkin Transactions 1 (1 paper)Biology Methods and Protocols (1 paper)The Journal of Organic Chemistry (1 paper)Human Mutation (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Stephen Will
12 papers receiving 622 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 504
- Cancer Research 73
- Infectious Diseases 60
- Virology 13
- Genetics 60
Countries citing papers authored by Stephen Will
This map shows the geographic impact of Stephen Will'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 Stephen Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Will more than expected).
Fields of papers citing papers by Stephen Will
This network shows the impact of papers produced by Stephen Will. 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 Stephen Will. The network helps show where Stephen Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Will, 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 | 1987 | 378 | |
| 2 | 1991 | 118 | |
| 3 | 2017 | 47 | |
| 4 | 1995 | 36 | |
| 5 | 1989 | 32 | |
| 6 | 2015 | 15 | |
| 7 | 2012 | 6 | |
| 8 | 2017 | 5 | |
| 9 | 1983 | 5 | |
| 10 | 1985 | 4 | |
| 11 | 1982 | 3 | |
| 12 | 1986 | 2 |
About Stephen Will
Stephen Will is a scholar working on Molecular Biology, Organic Chemistry, Ecology, Materials Chemistry and Pharmacology, having authored 12 papers that have together received 651 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), DNA Repair Mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Bacteriophages and microbial interactions (2 papers), Molecular Biology Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Data-Driven Disease Surveillance (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (504 citations), Cancer Research (73 citations), Infectious Diseases (60 citations), Virology (13 citations) and Genetics (60 citations). Stephen Will has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Francis Johnson, Chi-Hsiung Chang, Masaru Takeshita, A.P. Grollman, Corey Levenson, Ernest S. Kawasaki, Mazie Coyne, Keith Baverstock, Richard H. Shafer and Puthupparampil V. Scaria. Their work appears in journals such as Journal of Biological Chemistry, Journal of the Chemical Society Perkin Transactions 1, Biology Methods and Protocols, The Journal of Organic Chemistry and Human Mutation.
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.