David McClymont

825 total citations
18 papers, 606 citations indexed

About

David McClymont is a scholar working on Molecular Biology, Pharmacology and Global and Planetary Change. According to data from OpenAlex, David McClymont has authored 18 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Global and Planetary Change. Recurrent topics in David McClymont's work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). David McClymont is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). David McClymont collaborates with scholars based in United Kingdom, Australia and Spain. David McClymont's co-authors include Paul S. Freemont, Ian R. Mellor, David Bell, Michela Rosini, Manuela Bartolini, Vincenza Andrisano, María Laura Bolognesi, Elena Simoni, Kirsten Jensen and James T. MacDonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

David McClymont

18 papers receiving 594 citations

Peers

David McClymont

PHARM

CTM

PHYSI

Eliseo O. Campos Chile

Hayden R. Schmidt United States

Laura Núñez‐Pons Italy

Nguyễn Minh Đức Vietnam

Victor Marchenkov Russia

Barry S. Bonnell United States

Subhodeep Sarker Austria

Shiva N. Kompella Australia

Derik E. Haggard United States

Victoria V. Roshchina Russia

Eliseo O. Campos Chile

David McClymont

147 ×0.4

307 ×1.7

PHARM

164 ×1.5

CTM

192 ×2.3

PHYSI

60 ×0.9

Citations per year, relative to David McClymont David McClymont (= 1×) peers Eliseo O. Campos

Countries citing papers authored by David McClymont

Since Specialization

Citations

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

Fields of papers citing papers by David McClymont

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David McClymont

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

All Works

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18 of 18 papers shown

Orton, Thomas G., David McClymont, Kathryn Page, Neal W. Menzies, & Yash P. Dang. (2022). ConstraintID: An online software tool to assist grain growers in Australia identify areas affected by soil constraints. Computers and Electronics in Agriculture. 202. 107422–107422. 10 indexed citations

Bell, David, et al.. (2020). Improved betulinic acid biosynthesis using synthetic yeast chromosome recombination and semi-automated rapid LC-MS screening. Nature Communications. 11(1). 868–868. 57 indexed citations

McClymont, David, Michael A. Crone, Velia Siciliano, et al.. (2020). Cell-Free Protein Synthesis as a Prototyping Platform for Mammalian Synthetic Biology. ACS Synthetic Biology. 9(1). 144–156. 35 indexed citations

Reynolds, Christopher R., et al.. (2019). Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway. Journal of Biological Engineering. 13(1). 8–8. 21 indexed citations

Sawyer, Chelsea, et al.. (2019). Miniaturisation of high-throughput plasmid DNA library preparation for next-generation sequencing using multifactorial optimisation. Synthetic and Systems Biotechnology. 4(1). 57–66. 18 indexed citations

Moore, Simon J., James T. MacDonald, Argyro Tsipa, et al.. (2018). Rapid acquisition and model-based analysis of cell-free transcription–translation reactions from nonmodel bacteria. Proceedings of the National Academy of Sciences. 115(19). E4340–E4349. 138 indexed citations

Rajakumar, Priscilla D., Glen-Oliver F. Gowers, Tom Ellis, et al.. (2018). Rapid Prototyping Platform for Saccharomyces cerevisiae Using Computer-Aided Genetic Design Enabled by Parallel Software and Workcell Platform Development. SLAS TECHNOLOGY. 24(3). 291–297. 14 indexed citations

Sulen, André, et al.. (2016). Signaling effects of sodium hydrosulfide in healthy donor peripheral blood mononuclear cells. Pharmacological Research. 113(Pt A). 216–227. 14 indexed citations

McClymont, David, et al.. (2016). A Cell-Based High-Throughput Assay for Gap Junction Communication Suitable for Assessing Connexin 43–Ezrin Interaction Disruptors Using IncuCyte ZOOM. SLAS DISCOVERY. 22(1). 77–85. 9 indexed citations

10.

Rosini, Michela, Elena Simoni, Manuela Bartolini, et al.. (2013). The Bivalent Ligand Approach as a Tool for Improving the in vitro Anti‐Alzheimer Multitarget Profile of Dimebon. ChemMedChem. 8(8). 1276–1281. 29 indexed citations

11.

Hendon, Harry H., Eun‐Pa Lim, Sally Langford, et al.. (2013). Seasonal Forecasting in the Pacific Using the Coupled Model POAMA-2. Weather and Forecasting. 28(3). 668–680. 45 indexed citations

12.

McClymont, David, John E. Harris, & Ian R. Mellor. (2012). Open-channel blockade is less effective on GluN3B than GluN3A subunit-containing NMDA receptors. European Journal of Pharmacology. 686(1-3). 22–31. 13 indexed citations

13.

Kuleshov, Yuriy, David Jones, Harry H. Hendon, et al.. (2012). Pacific Adaptation Strategy Assistance Program: strengthening the capacity for seasonal prediction services in Pacific Countries. 25(1). 7–12. 3 indexed citations

14.

McClymont, David, et al.. (2011). A software architecture for seasonal climate forecasts in the tropical Pacific. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 3 indexed citations

15.

McClymont, David, Xike Zhang, Simon White, et al.. (2009). Seasonal climate forecasting for better irrigation system management in Lombok, Indonesia. University of Southern Queensland ePrints (University of Southern Queensland). 1 indexed citations

16.

Rosini, Michela, Elena Simoni, Manuela Bartolini, et al.. (2008). Inhibition of Acetylcholinesterase, β-Amyloid Aggregation, and NMDA Receptors in Alzheimer’s Disease: A Promising Direction for the Multi-target-Directed Ligands Gold Rush. Journal of Medicinal Chemistry. 51(15). 4381–4384. 170 indexed citations

17.

Zhang, Xike, et al.. (2007). Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea. Australian Journal of Experimental Agriculture. 47(12). 1446–1446. 20 indexed citations

18.

Zhang, Xike, et al.. (2005). ENSO-based streamflow forecasting and its application to water allocation and cropping decisions : an Australian experience. IAHS-AISH publication. 346–354. 6 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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