Ian D. Broadbent

1.3k total citations
20 papers, 1.1k citations indexed

About

Ian D. Broadbent is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Ian D. Broadbent has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Ian D. Broadbent's work include Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Ian D. Broadbent is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Ian D. Broadbent collaborates with scholars based in United Kingdom, United States and Canada. Ian D. Broadbent's co-authors include Alistair J. P. Brown, Jonathan Pettitt, Caroline J. Barelle, Abdul Munir Abdul Murad, Neil A. R. Gow, Ekkehard Leberer, Axel Schmidt, Cyrus Chothia, Karen Clark and David Y. Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Molecular Biology.

In The Last Decade

Ian D. Broadbent

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian D. Broadbent United Kingdom 13 614 544 380 156 110 20 1.1k
Ana Maria Garcı́a Colombia 22 453 0.7× 386 0.7× 460 1.2× 227 1.5× 169 1.5× 61 1.2k
Séverine Bontron Switzerland 21 919 1.5× 101 0.2× 362 1.0× 164 1.1× 110 1.0× 25 1.8k
Suzanne Grindle United States 24 846 1.4× 324 0.6× 181 0.5× 139 0.9× 71 0.6× 28 1.6k
Valérie Prouzet‐Mauleon France 18 597 1.0× 195 0.4× 78 0.2× 60 0.4× 49 0.4× 41 1.1k
Kaeling Tan Macao 17 563 0.9× 134 0.2× 126 0.3× 214 1.4× 145 1.3× 29 790
Michael J. McEachern United States 27 2.5k 4.0× 219 0.4× 227 0.6× 84 0.5× 631 5.7× 52 3.2k
Wankee Kim South Korea 18 561 0.9× 114 0.2× 99 0.3× 234 1.5× 79 0.7× 28 883
Shuishu Wang United States 17 842 1.4× 462 0.8× 372 1.0× 63 0.4× 49 0.4× 39 1.5k
Wonja Choi South Korea 20 727 1.2× 158 0.3× 102 0.3× 187 1.2× 137 1.2× 38 944

Countries citing papers authored by Ian D. Broadbent

Since Specialization
Citations

This map shows the geographic impact of Ian D. Broadbent'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 Ian D. Broadbent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian D. Broadbent more than expected).

Fields of papers citing papers by Ian D. Broadbent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian D. Broadbent. 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 Ian D. Broadbent. The network helps show where Ian D. Broadbent may publish in the future.

Co-authorship network of co-authors of Ian D. Broadbent

This figure shows the co-authorship network connecting the top 25 collaborators of Ian D. Broadbent. A scholar is included among the top collaborators of Ian D. Broadbent 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 Ian D. Broadbent. Ian D. Broadbent 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.
Giuffrida, Maria Grazia, et al.. (2025). FAIR data management practices to introduce circular economy in aquaculture: benefits, barriers and a preliminary roadmap. International Journal of Data Science and Analytics. 20(5). 4995–5015. 1 indexed citations
2.
3.
Broadbent, Ian D., et al.. (2020). Leaving the competition in its wake. Nature Energy. 5(8). 555–556. 1 indexed citations
4.
5.
Broadbent, Ian D., et al.. (2019). Better estimates of LCOE from audited accounts – A new methodology with examples from United Kingdom offshore wind and CCGT. Energy Policy. 128. 25–35. 49 indexed citations
6.
Broadbent, Ian D., et al.. (2019). Refusal of planning consent for the Docking Shoal offshore wind farm: Stakeholder perspectives and lessons learned. Marine Policy. 110. 103529–103529. 17 indexed citations
7.
Broadbent, Ian D., et al.. (2019). Analysis of United Kingdom offshore wind farm performance using public data: Improving the evidence base for policymaking. Utilities Policy. 62. 100985–100985. 12 indexed citations
8.
O’Hagan, Anne Marie, et al.. (2016). Legal feasibility of implementing a risk-based approach to MRE consenting and compatibility with Natura 2000 network.. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University).
9.
Broadbent, Ian D., et al.. (2013). High-Sensitivity Monoclonal Antibodies Specific for Homoserine Lactones Protect Mice from Lethal Pseudomonas aeruginosa Infections. Applied and Environmental Microbiology. 80(2). 462–469. 29 indexed citations
10.
Broadbent, Ian D., et al.. (2009). Novel immunotherapeutic approaches to the treatment of infections caused by Gram-negative bacteria. Current Opinion in Pharmacology. 9(5). 566–570. 6 indexed citations
11.
Wallace, Karen, Rebecca Parr, Jennifer Park, et al.. (2008). Antibody-targeted myofibroblast apoptosis reduces fibrosis during sustained liver injury. Journal of Hepatology. 49(1). 88–98. 72 indexed citations
12.
Pettitt, Jonathan, et al.. (2003). The Caenorhabditis elegans p120 catenin homologue, JAC-1, modulates cadherin–catenin function during epidermal morphogenesis. The Journal of Cell Biology. 162(1). 15–22. 114 indexed citations
13.
Broadbent, Ian D. & Jonathan Pettitt. (2002). The C. elegans hmr-1 Gene Can Encode a Neuronal Classic Cadherin Involved in the Regulation of Axon Fasciculation. Current Biology. 12(1). 59–63. 52 indexed citations
14.
Hill, Emma, Ian D. Broadbent, Cyrus Chothia, & Jonathan Pettitt. (2001). Cadherin superfamily proteins in Caenorhabditis elegans and Drosophila melanogaster. Journal of Molecular Biology. 305(5). 1011–1024. 106 indexed citations
15.
Backen, Alison, et al.. (2000). Evaluation of theCaMAL2 promoter for regulated expression of genes inCandida albicans. Yeast. 16(12). 1121–1129. 55 indexed citations
16.
Backen, Alison, et al.. (2000). Evaluation of the CaMAL2 promoter for regulated expression of genes in Candida albicans. Yeast. 16(12). 1121–1129. 1 indexed citations
17.
Murad, Abdul Munir Abdul, et al.. (2000). CIp10, an efficient and convenient integrating vector for Candida albicans. Yeast. 16(4). 325–327. 284 indexed citations
18.
Leberer, Ekkehard, Doreen Harcus, Ian D. Broadbent, et al.. (1996). Signal transduction through homologs of the Ste20p and Ste7p protein kinases can trigger hyphal formation in the pathogenic fungus Candida albicans. Proceedings of the National Academy of Sciences. 93(23). 13217–13222. 274 indexed citations
19.
Gow, Neil A. R., Bernhard Hube, David A. Bailey, et al.. (1995). Genes associated with dimorphism and virulence ofCandida albicans. Canadian Journal of Botany. 73(S1). 335–342. 12 indexed citations
20.
Swoboda, Rolf, Ian D. Broadbent, Gwyneth Bertram, et al.. (1995). Structure and regulation of a Candida albicans RP10 gene which encodes an immunogenic protein homologous to Saccharomyces cerevisiae ribosomal protein 10. Journal of Bacteriology. 177(5). 1239–1246. 26 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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