Karen Ng

5.1k total citations · 1 hit paper
48 papers, 1.9k citations indexed

About

Karen Ng is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Karen Ng has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Karen Ng's work include Neuroscience and Neuropharmacology Research (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Receptor Mechanisms and Signaling (8 papers). Karen Ng is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Receptor Mechanisms and Signaling (8 papers). Karen Ng collaborates with scholars based in Australia, Canada and United States. Karen Ng's co-authors include Marie E. Gibbs, M.E. Gibbs, Nikki S. Rickard, G. Sedman, Stephen R. Robinson, John D. McPherson, Brona S. O'Dowd, Andrew Brown, Cyrille F. Dunant and Antonija Kreso and has published in prestigious journals such as Science, Journal of Clinical Oncology and Genome Research.

In The Last Decade

Karen Ng

48 papers receiving 1.8k citations

Hit Papers

Variable Clonal Repopulation Dynamics Influence Chemother... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Ng Australia 20 697 696 339 327 325 48 1.9k
Philip J. Ebert United States 22 454 0.7× 1.1k 1.6× 216 0.6× 571 1.7× 263 0.8× 36 2.3k
P A Kelly France 20 290 0.4× 889 1.3× 166 0.5× 134 0.4× 473 1.5× 46 2.5k
Rolf Knoth Germany 24 608 0.9× 835 1.2× 164 0.5× 143 0.4× 331 1.0× 53 2.3k
R. Bock Germany 20 596 0.9× 1.2k 1.8× 232 0.7× 95 0.3× 279 0.9× 55 3.3k
Akiko Murayama Japan 31 461 0.7× 1.8k 2.5× 237 0.7× 261 0.8× 424 1.3× 63 3.6k
Reiji Semba Japan 30 984 1.4× 1.2k 1.8× 156 0.5× 120 0.4× 167 0.5× 87 2.7k
Masayuki Sakamoto Japan 22 885 1.3× 1.1k 1.6× 209 0.6× 346 1.1× 94 0.3× 68 3.0k
Yupeng Yang China 22 844 1.2× 766 1.1× 178 0.5× 600 1.8× 97 0.3× 83 2.0k
Laura Sanders United States 13 799 1.1× 1.8k 2.6× 246 0.7× 297 0.9× 515 1.6× 14 3.2k
R Defendini United States 20 596 0.9× 735 1.1× 105 0.3× 128 0.4× 92 0.3× 31 2.2k

Countries citing papers authored by Karen Ng

Since Specialization
Citations

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

Fields of papers citing papers by Karen Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Ng. A scholar is included among the top collaborators of Karen Ng 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 Karen Ng. Karen Ng 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.
Nattestad, Maria, Sara Goodwin, Karen Ng, et al.. (2018). Complex rearrangements and oncogene amplifications revealed by long-read DNA and RNA sequencing of a breast cancer cell line. Genome Research. 28(8). 1126–1135. 108 indexed citations
2.
Kreso, Antonija, Catherine O′Brien, Peter van Galen, et al.. (2012). Variable Clonal Repopulation Dynamics Influence Chemotherapy Response in Colorectal Cancer. Science. 339(6119). 543–548. 557 indexed citations breakdown →
3.
Edwards, Thomas M., et al.. (2006). HIV-1 protein gp120 rapidly impairs memory in chicks by interrupting the glutamate–glutamine cycle. Neurobiology of Learning and Memory. 87(1). 1–8. 11 indexed citations
4.
Cutajar, Margaret, Thomas M. Edwards, & Karen Ng. (2005). Inhibition of endogenous carbon monoxide production induces transient retention losses in the day-old chick when trained using a single trial passive avoidance learning task. Neurobiology of Learning and Memory. 83(3). 243–250. 7 indexed citations
5.
Laming, Peter R., Harold K. Kimelberg, Stephen R. Robinson, et al.. (2000). Neuronal–glial interactions and behaviour. Neuroscience & Biobehavioral Reviews. 24(3). 295–340. 176 indexed citations
6.
Zhao, Weiqin, Hua Feng, Pauleen C. Bennett, & Karen Ng. (1997). Inhibition of Intermediate-Term Memory Following Passive Avoidance Training in Neonate Chicks by a Presynaptic Cholinergic Blocker. Neurobiology of Learning and Memory. 67(3). 207–213. 9 indexed citations
7.
Zhao, Wei, Pauleen C. Bennett, Nikki S. Rickard, et al.. (1996). The Involvement of Ca2+/Calmodulin-Dependent Protein Kinase in Memory Formation in Day-Old Chicks. Neurobiology of Learning and Memory. 66(1). 24–35. 13 indexed citations
8.
Gibbs, M.E., Brona S. O'Dowd, Leif Hertz, et al.. (1996). Inhibition of glutamine synthetase activity prevents memory consolidation. Cognitive Brain Research. 4(1). 57–64. 53 indexed citations
9.
Rickard, Nikki S. & Karen Ng. (1995). Blockade of metabotropic glutamate receptors prevents long-term memory consolidation. Brain Research Bulletin. 36(4). 355–359. 29 indexed citations
10.
Zhao, Wei, G.M. Polya, Bing H. Wang, et al.. (1995). Inhibitors of cAMP-Dependent Protein Kinase Impair Long-Term Memory Formation in Day-Old Chicks. Neurobiology of Learning and Memory. 64(2). 106–118. 38 indexed citations
11.
Ponsford, Jennie, et al.. (1995). Prediction of employment status 2 years after traumatic brain injury. Brain Injury. 9(1). 11–20. 139 indexed citations
12.
Hájek, I, Eva Syková, G. Sedman, & Karen Ng. (1994). Na+,K+-ATPase activity in young chicks after taste stimulation. Brain Research Bulletin. 33(1). 87–91. 7 indexed citations
13.
Rickard, Nikki S., et al.. (1994). Both non-NMDA and NMDA glutamate receptors are necessary for memory consolidation in the day-old chick. Behavioral and Neural Biology. 62(1). 33–40. 67 indexed citations
14.
O'Dowd, Brona S., M.E. Gibbs, G. Sedman, & Karen Ng. (1994). Astrocytes implicated in the energizing of intermediate memory processes in neonate chicks. Cognitive Brain Research. 2(2). 93–102. 40 indexed citations
15.
Zhao, Wei, et al.. (1993). Purified antichick Thy-1 IgG abolishes intermediate and long-term memory. Physiology & Behavior. 53(2). 215–219. 7 indexed citations
16.
Ng, Karen, M.E. Gibbs, C. L. Gibbs, et al.. (1992). Chapter 9: Ion involvement in memory formation: the potential role of astrocytes. Progress in brain research. 94. 109–115. 8 indexed citations
17.
Ng, Karen, M.E. Gibbs, Simon F. Crowe, et al.. (1991). Molecular mechanisms of memory formation. Molecular Neurobiology. 5(2-4). 333–350. 36 indexed citations
18.
Sedman, G., Brona S. O'Dowd, Nikki S. Rickard, M.E. Gibbs, & Karen Ng. (1991). Brain metabolic activity associated with long-term memory consolidation. Molecular Neurobiology. 5(2-4). 351–354. 44 indexed citations
19.
Gibbs, M.E., Amanda L. Richdale, & Karen Ng. (1987). Effect of excess intracranial amino acids on memory: A behavioural survey. Neuroscience & Biobehavioral Reviews. 11(3). 331–339. 14 indexed citations
20.
Gibbs, M.E., Karen Ng, & Richard Andrew. (1986). Effect of testosterone on intermediate memory in day-old chicks. Pharmacology Biochemistry and Behavior. 25(4). 823–826. 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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