Margaret M. Macdonald

653 total citations
24 papers, 512 citations indexed

About

Margaret M. Macdonald is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Margaret M. Macdonald has authored 24 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Infectious Diseases. Recurrent topics in Margaret M. Macdonald's work include Bacterial biofilms and quorum sensing (7 papers), Muscle metabolism and nutrition (6 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). Margaret M. Macdonald is often cited by papers focused on Bacterial biofilms and quorum sensing (7 papers), Muscle metabolism and nutrition (6 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). Margaret M. Macdonald collaborates with scholars based in Australia, Sweden and Saudi Arabia. Margaret M. Macdonald's co-authors include R. Hugh Dunstan, Johan Gottfries, Tim K. Roberts, Timothy K. Roberts, F. M. Dewey, Mousa Alreshidi, Nathan D. Smith, Daphne J. Osborne, Ben J. Dascombe and Rachael A. Priestley and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Annals of Botany.

In The Last Decade

Margaret M. Macdonald

24 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret M. Macdonald Australia 13 229 111 101 79 64 24 512
Su Zhuang China 17 246 1.1× 65 0.6× 43 0.4× 87 1.1× 33 0.5× 58 785
Lan Lin China 8 532 2.3× 142 1.3× 116 1.1× 96 1.2× 29 0.5× 13 812
Zhoujie Xie China 20 669 2.9× 76 0.7× 94 0.9× 81 1.0× 89 1.4× 42 981
Zhangyong Song China 19 362 1.6× 271 2.4× 113 1.1× 53 0.7× 18 0.3× 59 908
Edyta Juszczuk‐Kubiak Poland 17 216 0.9× 65 0.6× 27 0.3× 133 1.7× 30 0.5× 53 649
Patrick Ebner Germany 18 474 2.1× 62 0.6× 224 2.2× 70 0.9× 45 0.7× 23 822
Hannah C. Harris United Kingdom 12 194 0.8× 54 0.5× 82 0.8× 95 1.2× 15 0.2× 21 467
Mélanie Hillion France 13 323 1.4× 57 0.5× 89 0.9× 59 0.7× 22 0.3× 17 598
Rukhsana Chowdhury India 18 320 1.4× 49 0.4× 92 0.9× 216 2.7× 61 1.0× 35 949
Jin‐Hyung Lee South Korea 9 501 2.2× 80 0.7× 112 1.1× 81 1.0× 28 0.4× 10 718

Countries citing papers authored by Margaret M. Macdonald

Since Specialization
Citations

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

Fields of papers citing papers by Margaret M. Macdonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret M. Macdonald. 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 Margaret M. Macdonald. The network helps show where Margaret M. Macdonald may publish in the future.

Co-authorship network of co-authors of Margaret M. Macdonald

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret M. Macdonald. A scholar is included among the top collaborators of Margaret M. Macdonald 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 Margaret M. Macdonald. Margaret M. Macdonald 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.
Borges, Nattai R., et al.. (2024). Amino acid distribution in blood following high-intensity interval exercise: a preliminary study. Amino Acids. 56(1). 4–4. 5 indexed citations
3.
Alreshidi, Mousa, R. Hugh Dunstan, Margaret M. Macdonald, Vineet K. Singh, & Tim K. Roberts. (2020). Analysis of Cytoplasmic and Secreted Proteins of Staphylococcus aureus Revealed Adaptive Metabolic Homeostasis in Response to Changes in the Environmental Conditions Representative of the Human Wound Site. Microorganisms. 8(7). 1082–1082. 8 indexed citations
4.
Alreshidi, Mousa, R. Hugh Dunstan, Margaret M. Macdonald, Johan Gottfries, & Tim K. Roberts. (2020). The Uptake and Release of Amino Acids by Staphylococcus aureus at Mid-Exponential and Stationary Phases and Their Corresponding Responses to Changes in Temperature, pH and Osmolality. Frontiers in Microbiology. 10. 3059–3059. 26 indexed citations
5.
Dunstan, R. Hugh, et al.. (2020). Modelling of amino acid turnover in the horse during training and racing: A basis for developing a novel supplementation strategy. PLoS ONE. 15(1). e0226988–e0226988. 3 indexed citations
9.
Alreshidi, Mousa, R. Hugh Dunstan, Margaret M. Macdonald, et al.. (2019). Amino acids and proteomic acclimation of Staphylococcus aureus when incubated in a defined minimal medium supplemented with 5% sodium chloride. MicrobiologyOpen. 8(6). e00772–e00772. 16 indexed citations
10.
Dunstan, R. Hugh, et al.. (2018). Alterations in amino acid metabolism during growth by Staphylococcus aureus following exposure to H2O2 – A multifactorial approach. Heliyon. 4(5). e00620–e00620. 11 indexed citations
11.
Dunstan, R. Hugh, Margaret M. Macdonald, Xanne Janse de Jonge, et al.. (2017). Diverse characteristics of the urinary excretion of amino acids in humans and the use of amino acid supplementation to reduce fatigue and sub-health in adults. Nutrition Journal. 16(1). 19–19. 32 indexed citations
12.
Dunstan, R. Hugh, Ben J. Dascombe, Christopher J. Stevens, et al.. (2017). Sex differences in amino acids lost via sweating could lead to differential susceptibilities to disturbances in nitrogen balance and collagen turnover. Amino Acids. 49(8). 1337–1345. 10 indexed citations
13.
Alreshidi, Mousa, R. Hugh Dunstan, Johan Gottfries, et al.. (2016). Changes in the Cytoplasmic Composition of Amino Acids and Proteins Observed in Staphylococcus aureus during Growth under Variable Growth Conditions Representative of the Human Wound Site. PLoS ONE. 11(7). e0159662–e0159662. 24 indexed citations
14.
Dunstan, R. Hugh, Ben J. Dascombe, Margaret M. Macdonald, et al.. (2016). Sweat Facilitated Amino Acid Losses in Male Athletes during Exercise at 32-34°C. PLoS ONE. 11(12). e0167844–e0167844. 36 indexed citations
15.
Dunstan, R. Hugh, Ben J. Dascombe, Craig A. Evans, et al.. (2015). Sweat facilitated losses of amino acids in Standardbred horses and the application of supplementation strategies to maintain condition during training. Comparative Exercise Physiology. 11(4). 201–212. 6 indexed citations
17.
Dunstan, R. Hugh, Margaret M. Macdonald, Tim K. Roberts, et al.. (2010). Altered amino acid homeostasis and the development of fatigue by breast cancer radiotherapy patients: A pilot study. Clinical Biochemistry. 44(2-3). 208–215. 15 indexed citations
18.
Dewey, F. M., et al.. (1990). Development of monoclonal-antibody-ELISA and -DIP-STICK immunoassays for Penicillium islandicum in rice grains. Journal of General Microbiology. 136(4). 753–760. 44 indexed citations
19.
Dewey, F. M., et al.. (1989). Development of Monoclonal-antibody-ELISA, -DOT-BLOT and -DIP-STICK Immunoassays for Humicola lanuginosa in Rice. Microbiology. 135(2). 361–374. 55 indexed citations
20.
Macdonald, Margaret M. & Daphne J. Osborne. (1988). Synthesis of nucleic acids and protein in tuber buds of Solanum tuberosum during dormancy and early sprouting. Physiologia Plantarum. 73(3). 392–400. 23 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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