David Stead

2.4k total citations
40 papers, 1.5k citations indexed

About

David Stead is a scholar working on Molecular Biology, Infectious Diseases and Food Science. According to data from OpenAlex, David Stead has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Infectious Diseases and 8 papers in Food Science. Recurrent topics in David Stead's work include Antifungal resistance and susceptibility (13 papers), Fungal and yeast genetics research (7 papers) and Probiotics and Fermented Foods (5 papers). David Stead is often cited by papers focused on Antifungal resistance and susceptibility (13 papers), Fungal and yeast genetics research (7 papers) and Probiotics and Fermented Foods (5 papers). David Stead collaborates with scholars based in United Kingdom, United States and China. David Stead's co-authors include Alistair J. P. Brown, R M E Richards, Laura Selway, Zhikang Yin, Janet L. Walker, Michelle D. Leach, Evelyn Argo, Neil A. R. Gow, Donna M. MacCallum and Vassilios Raikos and has published in prestigious journals such as PLoS ONE, Food Chemistry and Molecular Microbiology.

In The Last Decade

David Stead

39 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Stead United Kingdom 24 645 429 261 238 223 40 1.5k
F. Bolás‐Fernández Spain 32 553 0.9× 772 1.8× 349 1.3× 116 0.5× 61 0.3× 133 2.5k
Jennifer A. Leeds United States 26 886 1.4× 383 0.9× 250 1.0× 105 0.4× 34 0.2× 48 1.9k
Ralf Dieckmann Germany 32 1.0k 1.6× 145 0.3× 191 0.7× 438 1.8× 43 0.2× 73 2.5k
Yuanhong Wang China 24 525 0.8× 296 0.7× 49 0.2× 152 0.6× 72 0.3× 105 1.8k
Satoshi Nishida Japan 21 498 0.8× 198 0.5× 73 0.3× 93 0.4× 66 0.3× 64 1.2k
Min Cao China 28 1.2k 1.8× 363 0.8× 183 0.7× 217 0.9× 19 0.1× 71 2.4k
Anne Farewell Sweden 22 1.8k 2.8× 166 0.4× 95 0.4× 196 0.8× 48 0.2× 52 2.9k
Ľudovít Škultéty Slovakia 23 465 0.7× 281 0.7× 71 0.3× 72 0.3× 115 0.5× 103 1.6k
Begoña Heras Australia 28 1.5k 2.3× 153 0.4× 192 0.7× 147 0.6× 79 0.4× 90 2.5k
Judah L. Rosner United States 34 2.3k 3.5× 255 0.6× 190 0.7× 221 0.9× 25 0.1× 57 3.7k

Countries citing papers authored by David Stead

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Stead

This figure shows the co-authorship network connecting the top 25 collaborators of David Stead. A scholar is included among the top collaborators of David Stead based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Stead. David Stead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Griffin, Julian L., et al.. (2025). MEATiCode: A comprehensive proteomic LC-MS/MS method for simultaneous species identification in meat authentication. Food Chemistry. 483. 144231–144231. 1 indexed citations
2.
Cesare, Giuseppe Buda De, Ahmed Ibrahem Hafez, David Stead, Carlos Lloréns, & Carol A. Munro. (2022). Biomarkers of caspofungin resistance in Candida albicans isolates: A proteomic approach. Virulence. 13(1). 1005–1018. 12 indexed citations
3.
Monte, Milena M., et al.. (2020). Plasma Proteome Responses in Salmonid Fish Following Immunization. Frontiers in Immunology. 11. 581070–581070. 12 indexed citations
4.
Kim, Jin‐Hyoung, et al.. (2018). Proteomic comparison of selective breeding and growth hormone transgenesis in fish: Unique pathways to enhanced growth. Journal of Proteomics. 192. 114–124. 28 indexed citations
5.
Stead, David, et al.. (2018). High-throughput proteomic profiling of the fish liver following bacterial infection. BMC Genomics. 19(1). 719–719. 70 indexed citations
6.
Milne, Kathleen, et al.. (2016). Combination antimicrobial susceptibility testing of Burkholderia cepacia complex: significance of species. International Journal of Antimicrobial Agents. 48(5). 521–527. 13 indexed citations
7.
Mente, Eleni, Graham J. Pierce, Efthimia Antonopoulou, David Stead, & Samuel Martín. (2016). Postprandial hepatic protein expression in trout Oncorhynchus mykiss a proteomics examination. Biochemistry and Biophysics Reports. 9. 79–85. 9 indexed citations
8.
Potrykus, Joanna, David Stead, Donna M. MacCallum, et al.. (2013). Fungal Iron Availability during Deep Seated Candidiasis Is Defined by a Complex Interplay Involving Systemic and Local Events. PLoS Pathogens. 9(10). e1003676–e1003676. 51 indexed citations
10.
Kubota, Takashi, David Stead, Shin‐ichiro Hiraga, Sara ten Have, & Anne D. Donaldson. (2012). Quantitative proteomic analysis of yeast DNA replication proteins. Methods. 57(2). 196–202. 17 indexed citations
11.
Leach, Michelle D., David Stead, Evelyn Argo, Donna M. MacCallum, & Alistair J. P. Brown. (2011). Molecular and proteomic analyses highlight the importance of ubiquitination for the stress resistance, metabolic adaptation, morphogenetic regulation and virulence of Candida albicans. Molecular Microbiology. 79(6). 1574–1593. 52 indexed citations
12.
Fisher, Matthew C., Jaime Bosch, Zhikang Yin, et al.. (2009). Proteomic and phenotypic profiling of the amphibian pathogen Batrachochytrium dendrobatidis shows that genotype is linked to virulence. Molecular Ecology. 18(3). 415–429. 129 indexed citations
13.
Stead, David, Janet L. Walker, Lucy J. Holcombe, et al.. (2009). Impact of the transcriptional regulator, Ace2, on the Candida glabrata secretome. PROTEOMICS. 10(2). 212–223. 26 indexed citations
14.
Walker, Janet L., Laura Selway, David Stead, et al.. (2008). Proteomic analysis of the pH response in the fungal pathogen Candida glabrata . PROTEOMICS. 8(3). 534–544. 39 indexed citations
15.
Ramsdale, Mark, Laura Selway, David Stead, et al.. (2008). MNL1Regulates Weak Acid–induced Stress Responses of the Fungal PathogenCandida albicans. Molecular Biology of the Cell. 19(10). 4393–4403. 62 indexed citations
16.
Stead, David, Norman W. Paton, Paolo Missier, et al.. (2007). Information quality in proteomics. Briefings in Bioinformatics. 9(2). 174–188. 29 indexed citations
17.
Stead, David, R.G. Reid, & Richard Taylor. (1998). Capillary electrochromatography of steroids. Journal of Chromatography A. 798(1-2). 259–267. 54 indexed citations
18.
Stead, David & R M E Richards. (1997). Sensitive high-performance liquid chromatographic assay for aminoglycosides in biological matrices enables the direct estimation of bacterial drug uptake. Journal of Chromatography B Biomedical Sciences and Applications. 693(2). 415–421. 39 indexed citations
20.
Self, Ron, David Stead, Simon P. Robins, Peter J. Derrick, & Su Chen. (1994). Analysis of pyridinoline and its derivatives by scanning‐array four‐sector tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 8(1). 99–104. 4 indexed citations

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.

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