Ian Macreadie

4.1k total citations
158 papers, 3.3k citations indexed

About

Ian Macreadie is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Ian Macreadie has authored 158 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 36 papers in Epidemiology and 35 papers in Infectious Diseases. Recurrent topics in Ian Macreadie's work include Alzheimer's disease research and treatments (22 papers), Fungal and yeast genetics research (19 papers) and HIV/AIDS drug development and treatment (19 papers). Ian Macreadie is often cited by papers focused on Alzheimer's disease research and treatments (22 papers), Fungal and yeast genetics research (19 papers) and HIV/AIDS drug development and treatment (19 papers). Ian Macreadie collaborates with scholars based in Australia, United States and Malaysia. Ian Macreadie's co-authors include Ahmed A. Azad, Laura A. Castelli, Sudip Dhakal, Peter Iliades, Ronald A. Butow, Prashant Bharadwaj, Peter I. Macreadie, Ralph N. Martins, Alister C. Ward and D. R. Hewish and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ian Macreadie

153 papers receiving 3.1k 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 Macreadie Australia 32 1.7k 683 630 464 371 158 3.3k
Nicholas Murgolo United States 30 1.8k 1.0× 476 0.7× 567 0.9× 329 0.7× 125 0.3× 64 4.3k
Susumu Kawamoto Japan 38 2.3k 1.3× 614 0.9× 609 1.0× 229 0.5× 288 0.8× 130 4.2k
Xiao‐Ping Dong China 34 2.8k 1.6× 712 1.0× 455 0.7× 479 1.0× 65 0.2× 315 4.8k
Peter J. Curtis United States 38 1.9k 1.1× 444 0.7× 179 0.3× 670 1.4× 467 1.3× 108 4.4k
Young Sun Hwang South Korea 33 2.1k 1.2× 226 0.3× 549 0.9× 126 0.3× 470 1.3× 127 3.5k
Masahiko Ito Japan 29 757 0.4× 793 1.2× 516 0.8× 141 0.3× 314 0.8× 122 2.7k
László Ötvös Hungary 39 3.1k 1.8× 652 1.0× 294 0.5× 360 0.8× 145 0.4× 169 5.3k
Lucia Nencioni Italy 36 1.4k 0.8× 712 1.0× 516 0.8× 167 0.4× 117 0.3× 94 3.7k
Yuhuan Li China 40 2.6k 1.5× 1.2k 1.7× 488 0.8× 282 0.6× 113 0.3× 265 5.6k
Matthias Schweizer Switzerland 38 1.6k 0.9× 840 1.2× 1.1k 1.8× 519 1.1× 731 2.0× 123 5.3k

Countries citing papers authored by Ian Macreadie

Since Specialization
Citations

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

Fields of papers citing papers by Ian Macreadie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Macreadie

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Macreadie. A scholar is included among the top collaborators of Ian Macreadie 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 Macreadie. Ian Macreadie 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
2.
Kurtböke, D. İpek, Ian Macreadie, Rustam Aminov, et al.. (2017). Volume 38 Number 2. Microbiology Australia. 38(2). 49–94. 1 indexed citations
3.
Macreadie, Ian, et al.. (2016). Fungicidal effect of thymoquinone involves generation of oxidative stress in Candida glabrata. Microbiological Research. 195. 81–88. 35 indexed citations
4.
Macreadie, Ian, et al.. (2015). Yeast as a Model for Studies on Aβ Aggregation Toxicity in Alzheimer’s Disease, Autophagic Responses, and Drug Screening. Methods in molecular biology. 1303. 217–226. 15 indexed citations
5.
Bharadwaj, Prashant, Ashok K. Dubey, Colin L. Masters, Ralph N. Martins, & Ian Macreadie. (2009). Aβ aggregation and possible implications in Alzheimer's disease pathogenesis. Journal of Cellular and Molecular Medicine. 13(3). 412–421. 121 indexed citations
6.
Fernley, Ross T., Peter Iliades, & Ian Macreadie. (2006). A rapid assay for dihydropteroate synthase activity suitable for identification of inhibitors. Analytical Biochemistry. 360(2). 227–234. 6 indexed citations
7.
Iliades, Peter, Steven R. Meshnick, & Ian Macreadie. (2005). Analysis of Pneumocystis jirovecii DHPS Alleles Implicated in Sulfamethoxazole Resistance Using an Escherichia coli Model System. Microbial Drug Resistance. 11(1). 1–8. 12 indexed citations
8.
Patel, Onisha, et al.. (2003). Inhibition Studies of Sulfonamide-Containing Folate Analogs in Yeast. Microbial Drug Resistance. 9(2). 139–146. 25 indexed citations
9.
Iliades, Peter, et al.. (2003). Promoter Strength of Folic Acid Synthesis Genes Affects Sulfa Drug Resistance in Saccharomyces cerevisiae. Microbial Drug Resistance. 9(3). 249–255. 17 indexed citations
10.
Iliades, Peter, et al.. (2003). Analysis in Escherichia coli of Plasmodium falciparum dihydropteroate synthase (DHPS) alleles implicated in resistance to sulfadoxine. International Journal for Parasitology. 34(1). 95–100. 31 indexed citations
11.
Macreadie, Ian, et al.. (2002). Cytotoxicity of dihydropteroate inSaccharomyces cerevisiae. FEMS Microbiology Letters. 213(2). 189–192. 8 indexed citations
12.
Sibley, Carol Hopkins & Ian Macreadie. (2001). Novel Approaches to Tackling Malarial Drug Resistance Using Yeast. IUBMB Life. 52(6). 285–289. 9 indexed citations
13.
Macreadie, Ian, H. Ginsburg, Worachart Sirawaraporn, & Leann Tilley. (2000). Antimalarial Drug Development and New Targets. Parasitology Today. 16(10). 438–444. 44 indexed citations
14.
Castelli, Laura A., et al.. (1999). Residues within the HFRIGC Sequence of HIV-1 Vpr Involved in Growth Arrest Activities. Biochemical and Biophysical Research Communications. 264(1). 287–290. 14 indexed citations
15.
Macreadie, Ian, et al.. (1998). Expression of HIV-1 <i>nef</i> in Yeast Causes Membrane Perturbation and Release of the Myristylated Nef Protein. Journal of Biomedical Science. 5(3). 203–210. 1 indexed citations
16.
Caine, Joanne M., Ian Macreadie, Gary L. Grunewald, & Michael J. McLeish. (1996). Recombinant Human PhenylethanolamineN-Methyltransferase: Overproduction inEscherichia coli,Purification, and Characterization. Protein Expression and Purification. 8(2). 160–166. 21 indexed citations
17.
Macreadie, Ian, et al.. (1994). Heterologous gene expression and protein secretion from Candida glabrata. Biotechnology and Applied Biochemistry. 19(3). 265–269. 7 indexed citations
18.
Ward, Alister C., Ahmed A. Azad, & Ian Macreadie. (1994). Expression and characterisation of the influenza A virus non-structural protein NS1 in yeast. Archives of Virology. 138(3-4). 299–314. 14 indexed citations
19.
Macreadie, Ian, et al.. (1991). Constitutive expression of the Saccharomyces cerevisiae CUP1 gene in Kluyveromyces lactis. Yeast. 7(2). 127–135. 16 indexed citations
20.
Macreadie, Ian. (1990). Yeast vectors for cloning and copper-inducible expression of foreign genes. Nucleic Acids Research. 18(4). 1078–1078. 15 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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