William Rowe
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
- Microbial Metabolic Engineering and Bioproduction
-
- NF-κB Signaling Pathways
Papers in
-
- RNA and protein synthesis mechanisms 5
- Advanced biosensing and bioanalysis techniques 4
- RNA Research and Splicing 2
-
- SARS-CoV-2 detection and testing 4
- Co-authors
- Mark Platt (10 shared papers)Joshua D. Knowles (10 shared papers)Douglas Bruce Kell (7 shared papers)Philip J. Day (6 shared papers)David C. Wedge (6 shared papers)Lydia M. Castelli (9 shared papers)Mark Ashe (9 shared papers)Paul F. G. Sims (8 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Integrative Biology (3 papers)Genome biology (2 papers)Scientific Reports (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United KingdomIrelandDenmark
In The Last Decade
William Rowe
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 533
- Cancer Research 75
- Oncology 105
- Genetics 56
- Infectious Diseases 39
Countries citing papers authored by William Rowe
This map shows the geographic impact of William Rowe'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 William Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Rowe more than expected).
Fields of papers citing papers by William Rowe
This network shows the impact of papers produced by William Rowe. 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 William Rowe. The network helps show where William Rowe may publish in the future.
Co-authors
The 25 scholars most cited alongside William Rowe, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2008 | 93 | |
| 3 | 2015 | 87 | |
| 4 | 2011 | 80 | |
| 5 | 2016 | 69 | |
| 6 | 2020 | 60 | |
| 7 | 2009 | 54 | |
| 8 | 2017 | 54 | |
| 9 | 2018 | 53 | |
| 10 | 2009 | 48 | |
| 11 | 2017 | 45 | |
| 12 | 2010 | 44 | |
| 13 | 2015 | 44 | |
| 14 | 2018 | 42 | |
| 15 | 2013 | 34 | |
| 16 | 2015 | 34 | |
| 17 | 2015 | 32 | |
| 18 | 2015 | 31 | |
| 19 | 2017 | 31 | |
| 20 | 2008 | 28 |
About William Rowe
William Rowe is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Cancer Research and Biophysics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Evolution and Genetic Dynamics (4 papers), SARS-CoV-2 detection and testing (4 papers), RNA Research and Splicing (2 papers), NF-κB Signaling Pathways (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Nanopore and Nanochannel Transport Studies (1 paper). The work is most often cited by research in Molecular Biology (533 citations), Cancer Research (75 citations), Oncology (105 citations), Genetics (56 citations) and Infectious Diseases (39 citations). William Rowe has collaborated with scholars based in United Kingdom, Ireland and Denmark. Frequent co-authors include Mark Platt, Joshua D. Knowles, Douglas Bruce Kell, Philip J. Day, David C. Wedge, Lydia M. Castelli, Mark Ashe, Paul F. G. Sims, Graham D. Pavitt and Chris M. Grant. Their work appears in journals such as Nucleic Acids Research, Integrative Biology, Genome biology, Scientific Reports and PLoS Genetics.
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.