David Stead
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
Papers in
-
- Fungal and yeast genetics research 7
- Biomedical Text Mining and Ontologies 4
-
- Antifungal resistance and susceptibility 13
- Co-authors
- Alistair J. P. Brown (16 shared papers)R M E Richards (2 shared papers)Zhikang Yin (8 shared papers)Laura Selway (8 shared papers)Janet L. Walker (6 shared papers)Michelle D. Leach (4 shared papers)Evelyn Argo (4 shared papers)Neil A. R. Gow (3 shared papers)
- Journals
- PROTEOMICS (6 papers)Frontiers in Immunology (2 papers)mBio (2 papers)International Journal of Food Science & Technology (2 papers)Molecular Biology of the Cell (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
David Stead
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 446
- Spectroscopy 231
- Pharmacology 212
- Food Science 238
- Microbiology 60
Countries citing papers authored by David Stead
This map shows the geographic impact of David Stead'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 David Stead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stead more than expected).
Fields of papers citing papers by David Stead
This network shows the impact of papers produced by David Stead. 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 David Stead. The network helps show where David Stead may publish in the future.
Co-authors
The 25 scholars most cited alongside David Stead, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 195 | |
| 2 | 2009 | 133 | |
| 3 | 2012 | 96 | |
| 4 | 1996 | 83 | |
| 5 | 2011 | 76 | |
| 6 | 2004 | 74 | |
| 7 | 2018 | 72 | |
| 8 | 2008 | 66 | |
| 9 | 2016 | 60 | |
| 10 | 1998 | 59 | |
| 11 | 2020 | 58 | |
| 12 | 2011 | 57 | |
| 13 | 2013 | 55 | |
| 14 | 2011 | 53 | |
| 15 | 2009 | 51 | |
| 16 | 2008 | 44 | |
| 17 | 1997 | 41 | |
| 18 | 2006 | 37 | |
| 19 | 2018 | 32 | |
| 20 | 2018 | 32 |
About David Stead
David Stead is a scholar working on Molecular Biology, Infectious Diseases, Food Science, Epidemiology and Spectroscopy, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (13 papers), Fungal and yeast genetics research (7 papers), Fungal Infections and Studies (5 papers), Probiotics and Fermented Foods (5 papers), Antibiotic Resistance in Bacteria (4 papers), Peptidase Inhibition and Analysis (4 papers), Analytical Chemistry and Chromatography (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Infectious Diseases (446 citations), Spectroscopy (231 citations), Pharmacology (212 citations), Food Science (238 citations) and Microbiology (60 citations). David Stead has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Alistair J. P. Brown, R M E Richards, Zhikang Yin, Laura Selway, Janet L. Walker, Michelle D. Leach, Evelyn Argo, Neil A. R. Gow, Donna M. MacCallum and Vassilios Raikos. Their work appears in journals such as PROTEOMICS, Frontiers in Immunology, mBio, International Journal of Food Science & Technology and Molecular Biology of the 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.