Stephen K. Dolan
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
-
- Bacterial biofilms and quorum sensing 9
- Fungal and yeast genetics research 8
- Pharmacology 10
- Microbial Natural Products and Biosynthesis 8
- Fungal Biology and Applications 5
- Co-authors
- Rohan G. T. Lowe (1 shared paper)Mark R. Bleackley (1 shared paper)Thomas Shafee (1 shared paper)Neil J. Shirley (1 shared paper)Martin Welch (10 shared papers)Seán Doyle (15 shared papers)Gary W. Jones (11 shared papers)Grainne O’Keeffe (4 shared papers)
- Journals
- mBio (5 papers)ACM SIGPLAN Notices (3 papers)Frontiers in Microbiology (2 papers)Journal of Proteomics (2 papers)Eukaryotic Cell (2 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Stephen K. Dolan
42 papers receiving 1.8k citations
Stephen K. Dolan's Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Medicine 106
- Pharmacology 247
- Molecular Biology 914
- Infectious Diseases 190
- Microbiology 59
Countries citing papers authored by Stephen K. Dolan
This map shows the geographic impact of Stephen K. Dolan'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 K. Dolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen K. Dolan more than expected).
Fields of papers citing papers by Stephen K. Dolan
This network shows the impact of papers produced by Stephen K. Dolan. 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 K. Dolan. The network helps show where Stephen K. Dolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen K. Dolan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptomics technologies Hit paper breakdown → | 2017 | 695 |
| 2 | 2018 | 116 | |
| 3 | 2015 | 91 | |
| 4 | 2014 | 74 | |
| 5 | 2020 | 70 | |
| 6 | 2023 | 60 | |
| 7 | 2012 | 50 | |
| 8 | 2015 | 45 | |
| 9 | 2018 | 43 | |
| 10 | 2018 | 41 | |
| 11 | 2019 | 41 | |
| 12 | 2017 | 40 | |
| 13 | 2016 | 30 | |
| 14 | 2015 | 30 | |
| 15 | 2017 | 30 | |
| 16 | 2015 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 24 | |
| 19 | 2015 | 22 | |
| 20 | 2015 | 21 |
About Stephen K. Dolan
Stephen K. Dolan is a scholar working on Molecular Biology, Pharmacology, Genetics, Infectious Diseases and Computer Networks and Communications, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (9 papers), Bacterial Genetics and Biotechnology (9 papers), Fungal and yeast genetics research (8 papers), Microbial Natural Products and Biosynthesis (8 papers), Antifungal resistance and susceptibility (6 papers), Enzyme Structure and Function (5 papers), Fungal Biology and Applications (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Molecular Medicine (106 citations), Pharmacology (247 citations), Molecular Biology (914 citations), Infectious Diseases (190 citations) and Microbiology (59 citations). Stephen K. Dolan has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Rohan G. T. Lowe, Mark R. Bleackley, Thomas Shafee, Neil J. Shirley, Martin Welch, Seán Doyle, Gary W. Jones, Grainne O’Keeffe, Rebecca A. Owens and David A. Fitzpatrick. Their work appears in journals such as mBio, ACM SIGPLAN Notices, Frontiers in Microbiology, Journal of Proteomics and Eukaryotic Cell.
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.