Steven Bates
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- Epidemiology top 2%
- Fungal Infections and Studies
Papers in
-
- DNA Repair Mechanisms 14
- Epigenetics and DNA Methylation 8
- Fungal and yeast genetics research 8
- CRISPR and Genetic Engineering 6
-
- Antifungal resistance and susceptibility 22
- Co-authors
- Gerd P. Pfeifer (9 shared papers)Chun Li (1 shared paper)Philip L. Chin (1 shared paper)Jung‐Hoon Yoon (1 shared paper)Reinhard Dammann (1 shared paper)Frank C. Odds (11 shared papers)Neil A. R. Gow (13 shared papers)Alistair J. P. Brown (10 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)PLoS ONE (4 papers)Eukaryotic Cell (2 papers)Journal of Molecular Biology (2 papers)Fungal Genetics and Biology (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Steven Bates
63 papers receiving 3.8k citations
Steven Bates's Hit Papers
Peers
Comparison fields: 5 of 131
- Infectious Diseases 1.1k
- Epidemiology 971
- Molecular Biology 2.1k
- Cancer Research 280
- Cell Biology 272
Countries citing papers authored by Steven Bates
This map shows the geographic impact of Steven Bates'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 Steven Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Bates more than expected).
Fields of papers citing papers by Steven Bates
This network shows the impact of papers produced by Steven Bates. 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 Steven Bates. The network helps show where Steven Bates may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Bates, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epigenetic inactivation of a RAS association domain family protein from the lung tumour suppressor locus 3p21.3 Hit paper breakdown → | 2000 | 912 |
| 2 | 2007 | 254 | |
| 3 | 2005 | 199 | |
| 4 | 2005 | 167 | |
| 5 | 2004 | 156 | |
| 6 | 1997 | 150 | |
| 7 | 2007 | 115 | |
| 8 | 2004 | 115 | |
| 9 | 2010 | 105 | |
| 10 | 2007 | 100 | |
| 11 | 2013 | 99 | |
| 12 | 2007 | 86 | |
| 13 | 2004 | 85 | |
| 14 | 2005 | 79 | |
| 15 | 2011 | 78 | |
| 16 | 1998 | 65 | |
| 17 | 2018 | 60 | |
| 18 | 2005 | 60 | |
| 19 | 2012 | 50 | |
| 20 | 1997 | 47 |
About Steven Bates
Steven Bates is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Organic Chemistry and Oncology, having authored 64 papers that have together received 3.8k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (22 papers), DNA Repair Mechanisms (14 papers), Fungal Infections and Studies (9 papers), Epigenetics and DNA Methylation (8 papers), Fungal and yeast genetics research (8 papers), CRISPR and Genetic Engineering (6 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Epidemiology (971 citations), Molecular Biology (2.1k citations), Cancer Research (280 citations) and Cell Biology (272 citations). Steven Bates has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Gerd P. Pfeifer, Chun Li, Philip L. Chin, Jung‐Hoon Yoon, Reinhard Dammann, Frank C. Odds, Neil A. R. Gow, Alistair J. P. Brown, Donna M. MacCallum and Carol A. Munro. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Eukaryotic Cell, Journal of Molecular Biology and Fungal Genetics and Biology.
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.