Ian Macreadie

4.2k citations
157 papers · 3.3k · h-index 32

Impact in

Papers in

    • Fungal and yeast genetics research 19
    • RNA and protein synthesis mechanisms 15
    • Biochemical and Molecular Research 12
    • Polyamine Metabolism and Applications 10
    • Pneumocystis jirovecii pneumonia detection and treatment 15

Ian Macreadie

152 papers receiving 3.2k citations

Peers

Ian Macreadie
Comparison fields: 5 of 134
  • Virology 359
  • Infectious Diseases 586
  • Molecular Biology 1.7k
  • Epidemiology 658
  • Physiology 452
Replace Susumu Kawamoto with:
Susumu Kawamoto Japan
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Young Sun Hwang South Korea
Peter J. Curtis United States
Susan C. Wright United States
Yuhuan Li China
Annarita Stringaro Italy
László Ötvös Hungary
Nicholas Murgolo United States
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Ian Macreadie relative to Susumu Kawamoto Japan Susumu Kawamoto's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ian Macreadie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Macreadie Line = papers co-authored together Ian Macreadie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985135
2 1983133
3 2009122
4 2006119
5 1995114
6 200287
7 198885
8 200767
9 201966
10 200758
11 201656
12 199756
13 201254
14 199453
15 199051
16 200549
17 200747
18 200345
19 199144
20 200044

About Ian Macreadie

Ian Macreadie is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Physiology and Virology, having authored 157 papers that have together received 3.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), HIV/AIDS drug development and treatment (19 papers), Fungal and yeast genetics research (19 papers), HIV Research and Treatment (18 papers), Pneumocystis jirovecii pneumonia detection and treatment (15 papers), RNA and protein synthesis mechanisms (15 papers), Biochemical and Molecular Research (12 papers) and Polyamine Metabolism and Applications (10 papers). The work is most often cited by research in Virology (359 citations), Infectious Diseases (586 citations), Molecular Biology (1.7k citations), Epidemiology (658 citations) and Physiology (452 citations). Ian Macreadie has collaborated with scholars based in Australia, United States and Malaysia. Frequent 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. Their work appears in journals such as Gene, International Journal of Molecular Sciences, Journal of Alzheimer s Disease, Biotechnology Letters and Current Bioactive Compounds.

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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