Angus Harding

3.2k total citations
23 papers, 2.4k citations indexed

About

Angus Harding is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Angus Harding has authored 23 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Angus Harding's work include Microtubule and mitosis dynamics (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Glioma Diagnosis and Treatment (4 papers). Angus Harding is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Glioma Diagnosis and Treatment (4 papers). Angus Harding collaborates with scholars based in Australia, United States and United Kingdom. Angus Harding's co-authors include John F. Hancock, Robert G. Parton, Tianhai Tian, Jun Yan, Ian A. Prior, Judith C. Sluimer, Jermaine Coward, Kerry L. Inder, Sarah J. Plowman and Sandrine Roy and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Angus Harding

23 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angus Harding Australia 19 1.8k 844 402 270 263 23 2.4k
William T. Arthur United States 22 2.3k 1.3× 1.2k 1.4× 422 1.0× 203 0.8× 176 0.7× 26 3.3k
Caretha L. Creasy United States 27 2.8k 1.5× 716 0.8× 453 1.1× 257 1.0× 135 0.5× 41 3.4k
Graham C. Fletcher Canada 18 1.4k 0.8× 684 0.8× 458 1.1× 166 0.6× 141 0.5× 30 2.3k
Annette J. Self United Kingdom 15 2.0k 1.1× 1.1k 1.3× 387 1.0× 358 1.3× 157 0.6× 18 2.7k
Rongguo Qiu China 15 2.0k 1.1× 973 1.2× 498 1.2× 212 0.8× 161 0.6× 24 2.5k
George Tokiwa United States 14 2.8k 1.5× 764 0.9× 408 1.0× 207 0.8× 168 0.6× 19 3.4k
Bo Zhai United States 25 2.4k 1.3× 541 0.6× 370 0.9× 184 0.7× 173 0.7× 29 2.9k
Oanh Truong United Kingdom 10 1.7k 0.9× 896 1.1× 257 0.6× 207 0.8× 230 0.9× 12 2.4k
Jiing‐Dwan Lee United States 21 2.1k 1.2× 450 0.5× 472 1.2× 230 0.9× 155 0.6× 26 2.7k
Frank T. Zenke Germany 24 2.1k 1.1× 806 1.0× 746 1.9× 217 0.8× 164 0.6× 70 2.9k

Countries citing papers authored by Angus Harding

Since Specialization
Citations

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

Fields of papers citing papers by Angus Harding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angus Harding

This figure shows the co-authorship network connecting the top 25 collaborators of Angus Harding. A scholar is included among the top collaborators of Angus Harding 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 Angus Harding. Angus Harding 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.
Donovan, Prudence, Kathleen Cato, Roxane Legaie, et al.. (2014). Hyperdiploid tumor cells increase phenotypic heterogeneity within Glioblastoma tumors. Molecular BioSystems. 10(4). 741–758. 25 indexed citations
2.
Tian, Tianhai & Angus Harding. (2014). How MAP kinase modules function as robust, yet adaptable, circuits. Cell Cycle. 13(15). 2379–2390. 9 indexed citations
3.
Coward, Jermaine & Angus Harding. (2014). Size Does Matter: Why Polyploid Tumor Cells are Critical Drug Targets in the War on Cancer. Frontiers in Oncology. 4. 123–123. 151 indexed citations
4.
Lim, Yi Chieh, Tara L. Roberts, Bryan W. Day, et al.. (2012). A Role for Homologous Recombination and Abnormal Cell-Cycle Progression in Radioresistance of Glioma-Initiating Cells. Molecular Cancer Therapeutics. 11(9). 1863–1872. 75 indexed citations
5.
Donovan, Prudence, et al.. (2012). Glioblastoma tumours can harbour a subset of polyploid cells that are resistant to conventional therapy and may increase the adaptive capacity of patient tumours. Asia-Pacific Journal of Clinical Oncology. 8. 63–63. 1 indexed citations
6.
Whitacre, James M., Joseph Lin, & Angus Harding. (2012). T Cell Adaptive Immunity Proceeds through Environment-Induced Adaptation from the Exposure of Cryptic Genetic Variation. Frontiers in Genetics. 3. 5–5. 9 indexed citations
7.
Deleyrolle, Loic P., Angus Harding, Kathleen Cato, et al.. (2011). Evidence for label-retaining tumour-initiating cells in human glioblastoma. Brain. 134(5). 1331–1343. 136 indexed citations
8.
Astuti, Puji, Tanya Pike, Charlotte Widberg, et al.. (2009). MAPK Pathway Activation Delays G2/M Progression by Destabilizing Cdc25B. Journal of Biological Chemistry. 284(49). 33781–33788. 30 indexed citations
9.
Giurisato, Emanuele, Joseph Lin, Angus Harding, et al.. (2009). The Mitogen-Activated Protein Kinase Scaffold KSR1 Is Required for Recruitment of Extracellular Signal-Regulated Kinase to the Immunological Synapse. Molecular and Cellular Biology. 29(6). 1554–1564. 18 indexed citations
10.
Inder, Kerry L., Angus Harding, Sarah J. Plowman, et al.. (2008). Activation of the MAPK Module from Different Spatial Locations Generates Distinct System Outputs. Molecular Biology of the Cell. 19(11). 4776–4784. 75 indexed citations
11.
Harding, Angus & John F. Hancock. (2008). Using plasma membrane nanoclusters to build better signaling circuits. Trends in Cell Biology. 18(8). 364–371. 103 indexed citations
12.
Harding, Angus & John F. Hancock. (2008). Ras nanoclusters: Combining digital and analog signaling. Cell Cycle. 7(2). 127–134. 51 indexed citations
13.
Tian, Tianhai, Angus Harding, Kerry L. Inder, et al.. (2007). Plasma membrane nanoswitches generate high-fidelity Ras signal transduction. Nature Cell Biology. 9(8). 905–914. 318 indexed citations
14.
Gabrielli, Brian, et al.. (2006). Caffeine Promotes Apoptosis in Mitotic Spindle Checkpoint-arrested Cells. Journal of Biological Chemistry. 282(10). 6954–6964. 32 indexed citations
15.
Maxwell, Megan, Mark E. Cleasby, Angus Harding, et al.. (2005). Nur77 Regulates Lipolysis in Skeletal Muscle Cells. Journal of Biological Chemistry. 280(13). 12573–12584. 140 indexed citations
16.
Harding, Angus, et al.. (2005). Subcellular Localization Determines MAP Kinase Signal Output. Current Biology. 15(9). 869–873. 126 indexed citations
17.
Harding, Angus, Nichole Giles, Andrew Burgess, John F. Hancock, & Brian Gabrielli. (2003). Mechanism of Mitosis-specific Activation of MEK1. Journal of Biological Chemistry. 278(19). 16747–16754. 48 indexed citations
18.
Prior, Ian A., Angus Harding, Jun Yan, et al.. (2001). GTP-dependent segregation of H-ras from lipid rafts is required for biological activity. Nature Cell Biology. 3(4). 368–375. 453 indexed citations
19.
McPherson, R. A., Angus Harding, Sandrine Roy, Annette Lane, & John F. Hancock. (1999). Interactions of c-Raf-1 with phosphatidylserine and 14-3-3. Oncogene. 18(26). 3862–3869. 57 indexed citations
20.
Roy, Sandrine, Robert Luetterforst, Angus Harding, et al.. (1999). Dominant-negative caveolin inhibits H-Ras function by disrupting cholesterol-rich plasma membrane domains. Nature Cell Biology. 1(2). 98–105. 405 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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