Malcolm J. McConville

22.1k total citations · 2 hit papers
274 papers, 14.9k citations indexed

About

Malcolm J. McConville is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Malcolm J. McConville has authored 274 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Epidemiology, 108 papers in Public Health, Environmental and Occupational Health and 92 papers in Molecular Biology. Recurrent topics in Malcolm J. McConville's work include Trypanosoma species research and implications (101 papers), Research on Leishmaniasis Studies (79 papers) and Carbohydrate Chemistry and Synthesis (25 papers). Malcolm J. McConville is often cited by papers focused on Trypanosoma species research and implications (101 papers), Research on Leishmaniasis Studies (79 papers) and Carbohydrate Chemistry and Synthesis (25 papers). Malcolm J. McConville collaborates with scholars based in Australia, United Kingdom and United States. Malcolm J. McConville's co-authors include Michael A. J. Ferguson, Thomas Naderer, Antony Bacic, David P. De Souza, Louis Schofield, Dedreia Tull, Julie E. Ralton, Eleanor Saunders, Pascal Schneider and James I. MacRae and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Malcolm J. McConville

270 papers receiving 14.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MR1 presents microbial vitamin B metabolites to MAIT cells

2012 971 citations Malcolm J. McConville et al. profile →
The structure, biosynthesis and function of glycosylated phosphatidylinositols in the parasitic protozoa and higher eukaryotes

1993 762 citations Malcolm J. McConville et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malcolm J. McConville Australia	67	6.4k	5.8k	5.2k	3.1k	2.2k	274	14.9k
Igor C. Almeida United States	56	5.5k 0.9×	3.5k 0.6×	3.5k 0.7×	2.0k 0.6×	1.8k 0.8×	184	9.7k
Stephen M. Beverley United States	80	10.7k 1.7×	12.0k 2.1×	6.4k 1.2×	2.0k 0.6×	2.4k 1.1×	276	18.4k
Graham H. Coombs United Kingdom	69	6.6k 1.0×	7.8k 1.3×	4.9k 0.9×	1.1k 0.4×	3.0k 1.4×	304	14.3k
Michael A. J. Ferguson United Kingdom	71	10.3k 1.6×	6.0k 1.0×	9.0k 1.7×	3.0k 1.0×	1.4k 0.6×	388	19.6k
James H. McKerrow United States	82	6.0k 0.9×	6.7k 1.2×	6.0k 1.2×	1.5k 0.5×	6.4k 2.9×	342	21.6k
Herbert B. Tanowitz United States	61	5.3k 0.8×	3.1k 0.5×	3.4k 0.7×	1.1k 0.4×	2.5k 1.1×	280	11.4k
Sanjeev Krishna United Kingdom	63	2.5k 0.4×	9.0k 1.6×	4.3k 0.8×	1.1k 0.4×	1.9k 0.8×	274	16.1k
Michael P. Barrett United Kingdom	65	7.0k 1.1×	6.0k 1.0×	5.8k 1.1×	688 0.2×	1.4k 0.6×	306	14.1k
Daniel E. Goldberg United States	63	1.6k 0.2×	7.2k 1.2×	4.2k 0.8×	1.5k 0.5×	1.5k 0.7×	200	12.4k
Martin Olivier Canada	61	3.5k 0.5×	5.3k 0.9×	3.0k 0.6×	3.1k 1.0×	1.2k 0.6×	189	10.2k

Countries citing papers authored by Malcolm J. McConville

Since Specialization

Citations

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

Fields of papers citing papers by Malcolm J. McConville

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm J. McConville. 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 Malcolm J. McConville. The network helps show where Malcolm J. McConville may publish in the future.

Co-authorship network of co-authors of Malcolm J. McConville

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm J. McConville. A scholar is included among the top collaborators of Malcolm J. McConville 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 Malcolm J. McConville. Malcolm J. McConville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chan, Wing Yan, et al.. (2025). Heat‐Evolved Microalgae (Symbiodiniaceae) Are Stable Symbionts and Influence Thermal Tolerance of the Sea Anemone Exaiptasia diaphana. Environmental Microbiology. 27(1). e70011–e70011. 1 indexed citations

Sacharz, Joanna, Ann E. Frazier, Shuai Nie, et al.. (2025). Complex II assembly drives metabolic adaptation to OXPHOS dysfunction. Science Advances. 11(33). eadr6012–eadr6012.

Cawthorne, Wayne, Sarah E. Garnish, Cathrine Hall, et al.. (2024). MLKL deficiency elevates testosterone production in male mice independently of necroptotic functions. Cell Death and Disease. 15(11). 851–851.

Windred, Daniel P., Clare Anderson, Katherine J. Jeppe, et al.. (2024). Higher central circadian temperature amplitude is associated with greater metabolite rhythmicity in humans. Scientific Reports. 14(1). 16796–16796. 9 indexed citations

Wong, Gerard, Jacquelyn M. Weir, Kevin Huynh, et al.. (2021). The placental lipidome of maternal antenatal depression predicts socio-emotional problems in the offspring. Translational Psychiatry. 11(1). 107–107. 12 indexed citations

Kusnadi, Eric, Anna Trigos, Carleen Cullinane, et al.. (2020). Reprogrammed mRNA translation drives resistance to therapeutic targeting of ribosome biogenesis. The EMBO Journal. 39(21). e105111–e105111. 28 indexed citations

Quinn, Kylie M., Tabinda Hussain, Felix Kraus, et al.. (2020). Metabolic characteristics of CD8+ T cell subsets in young and aged individuals are not predictive of functionality. Nature Communications. 11(1). 2857–2857. 38 indexed citations

Mu, Andre, Glen P. Carter, Lucy Li, et al.. (2020). Microbe-Metabolite Associations Linked to the Rebounding Murine Gut Microbiome Postcolonization with Vancomycin-Resistant Enterococcus faecium. mSystems. 5(4). 8 indexed citations

Wangchuk, Phurpa, Constantin Constantinoiu, Konstantinos A. Kouremenos, et al.. (2019). Hookworm-Derived Metabolites Suppress Pathology in a Mouse Model of Colitis and Inhibit Secretion of Key Inflammatory Cytokines in Primary Human Leukocytes. Infection and Immunity. 87(4). 34 indexed citations

10.

Kennedy, Kit, Simon A. Cobbold, Eric Hanssen, et al.. (2019). Delayed death in the malaria parasite Plasmodium falciparum is caused by disruption of prenylation-dependent intracellular trafficking. PLoS Biology. 17(7). e3000376–e3000376. 62 indexed citations

11.

Jiang, Jhih‐Hang, Md Saruar Bhuiyan, Hsin‐Hui Shen, et al.. (2019). Antibiotic resistance and host immune evasion in Staphylococcus aureus mediated by a metabolic adaptation. Proceedings of the National Academy of Sciences. 116(9). 3722–3727. 77 indexed citations

12.

Cobbold, Simon A., Sarah H. Shafik, Adelaide S. M. Dennis, et al.. (2017). The Malaria Parasite's Lactate Transporter PfFNT Is the Target of Antiplasmodial Compounds Identified in Whole Cell Phenotypic Screens. PLoS Pathogens. 13(2). e1006180–e1006180. 41 indexed citations

13.

Hortle, Elinor, Brunda Nijagal, Denis C. Bauer, et al.. (2016). Adenosine monophosphate deaminase 3 activation shortens erythrocyte half-life and provides malaria resistance in mice. Blood. 128(9). 1290–1301. 24 indexed citations

14.

Ansell, Brendan R. E., Malcolm J. McConville, Louise Baker, et al.. (2016). Divergent Transcriptional Responses to Physiological and Xenobiotic Stress in Giardia duodenalis. Antimicrobial Agents and Chemotherapy. 60(10). 6034–6045. 13 indexed citations

15.

Mundra, Piyushkumar A., Christopher K. Barlow, Paul J. Nestel, et al.. (2016). Abstract 17413: Plasma Lipidomic Profiles in Two Large Independent Cohorts Improve Upon Conventional Risk Factors to Predict Cardiovascular Events. Circulation. 134. 1 indexed citations

16.

Dagley, Michael J., Eleanor Saunders, Kaylene J. Simpson, & Malcolm J. McConville. (2015). High-Content Assay for Measuring Intracellular Growth of Leishmania in Human Macrophages. Assay and Drug Development Technologies. 13(7). 389–401. 21 indexed citations

17.

Ansell, Brendan R. E., Malcolm J. McConville, Showgy Y. Ma’ayeh, et al.. (2015). Drug resistance in Giardia duodenalis. Biotechnology Advances. 33(6). 888–901. 91 indexed citations

18.

Walker, Ian, et al.. (2008). Direct evidence for ArO-S bond cleavage upon inactivation of Pseudomonas aeruginosa arylsulfamates by aryl sulfatase. ChemBioChem. 9(4). 1 indexed citations

19.

Naderer, Thomas, Miriam Ellis, M. Fleur Sernee, et al.. (2006). Virulence of Leishmania major in macrophages and mice requires the gluconeogenic enzyme fructose-1,6-bisphosphatase. Proceedings of the National Academy of Sciences. 103(14). 5502–5507. 123 indexed citations

20.

Mitchell, Graham F., Emanuela Handman, Heidrun Moll, et al.. (1987). Resistance and susceptibility of mice to Leishmania major: A view from Melbourne. Annales de l Institut Pasteur Immunologie. 138(5). 738–743. 11 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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