K.W. Ng

2.4k total citations
40 papers, 1.9k citations indexed

About

K.W. Ng is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, K.W. Ng has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in K.W. Ng's work include Bone health and treatments (15 papers), Bone Metabolism and Diseases (15 papers) and Bone and Dental Protein Studies (5 papers). K.W. Ng is often cited by papers focused on Bone health and treatments (15 papers), Bone Metabolism and Diseases (15 papers) and Bone and Dental Protein Studies (5 papers). K.W. Ng collaborates with scholars based in Australia, United States and India. K.W. Ng's co-authors include T. John Martin, T. John Martin, Hong Zhou, Nicola C. Partridge, D.K. Hards, M. Niall, David M. Findlay, Vicky Kartsogiannis, Matthew T. Gillespie and J Quinn and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

K.W. Ng

37 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.W. Ng Australia 24 1.3k 945 277 275 239 40 1.9k
P.W.M. Ho Australia 24 1.0k 0.8× 898 1.0× 154 0.6× 247 0.9× 149 0.6× 57 1.9k
Elizabeth Allan Australia 24 1.1k 0.9× 658 0.7× 103 0.4× 146 0.5× 158 0.7× 40 1.7k
Rebecca R. Miles United States 19 1.1k 0.9× 799 0.8× 96 0.3× 360 1.3× 202 0.8× 30 1.6k
Keertik Fulzele United States 17 997 0.8× 524 0.6× 299 1.1× 443 1.6× 136 0.6× 37 1.9k
Igor Gubrij United States 15 1.8k 1.4× 1.1k 1.1× 124 0.4× 686 2.5× 161 0.7× 16 2.4k
Nabanita S. Datta United States 20 1.5k 1.1× 874 0.9× 97 0.4× 215 0.8× 133 0.6× 39 2.3k
David L. Halladay United States 19 1.2k 0.9× 817 0.9× 71 0.3× 372 1.4× 151 0.6× 25 1.7k
Arshad Ali China 11 1.3k 1.0× 782 0.8× 131 0.5× 562 2.0× 120 0.5× 29 1.9k
Shinsuke Kido Japan 22 1.2k 0.9× 1.1k 1.2× 66 0.2× 262 1.0× 170 0.7× 49 2.4k
Kenji Hiura Japan 17 1.1k 0.9× 931 1.0× 46 0.2× 302 1.1× 240 1.0× 32 1.8k

Countries citing papers authored by K.W. Ng

Since Specialization
Citations

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

Fields of papers citing papers by K.W. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.W. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of K.W. Ng. A scholar is included among the top collaborators of K.W. 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 K.W. Ng. K.W. 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.
Simons, Nicole W., Richard H. Epstein, P. Zuccaro, et al.. (2025). Safety of Prefrontal Cortex Biopsies During Deep Brain Stimulation Procedures. Neurosurgery. 98(4). 915–920.
2.
Yang, Shu‐Chen, et al.. (2025). Seizing the narrative in a global information war: examining president Volodymyr Zelenskyy’s media communication strategy. Journal of Communication Management. 30(1). 128–142.
3.
Ng, K.W.. (2009). Future Developments in Osteoporosis Therapy. Endocrine Metabolic & Immune Disorders - Drug Targets. 9(4). 371–384. 6 indexed citations
4.
Martin, T. John, J Quinn, Matthew T. Gillespie, et al.. (2006). Mechanisms Involved in Skeletal Anabolic Therapies. Annals of the New York Academy of Sciences. 1068(1). 458–470. 45 indexed citations
5.
Kartsogiannis, Vicky, Hong Zhou, Nicole J. Horwood, et al.. (1999). Localization of RANKL (receptor activator of NFκB ligand) mRNA and protein in skeletal and extraskeletal tissues. Bone. 25(5). 525–534. 263 indexed citations
6.
Kartsogiannis, Vicky, Nobuyuki Udagawa, K.W. Ng, et al.. (1998). Localization of parathyroid hormone-related protein in osteoclasts by in situ hybridization and immunohistochemistry. Bone. 22(3). 189–194. 26 indexed citations
7.
Manji, Shehnaaz S.M., K.W. Ng, T. John Martin, & Hong Zhou. (1998). Transcriptional and posttranscriptional regulation of osteopontin gene expression in preosteoblasts by retinoic acid. Journal of Cellular Physiology. 176(1). 1–9. 15 indexed citations
8.
Ng, K.W., E. Romas, Leo Donnan, & David M. Findlay. (1997). Bone biology. Baillière s Clinical Endocrinology and Metabolism. 11(1). 1–22. 25 indexed citations
9.
Kartsogiannis, Vicky, Jane M. Moseley, S. T. Chou, et al.. (1997). Temporal expression of PTHrP during endochondral bone formation in mouse and intramembranous bone formation in an in vivo rabbit model. Bone. 21(5). 385–392. 78 indexed citations
10.
Zhou, Hong, Peter Choong, S Henderson, et al.. (1995). Marrow development and its relationship to bone formation in vivo: A histological study using an implantable titanium device in rabbits. Bone. 17(4). 407–415. 18 indexed citations
11.
Zhou, Hong, Peter Choong, S. T. Chou, et al.. (1995). Transforming growth factor β1 stimulates bone formation and resorption in an in-vivo model in rabbits. Bone. 17(4). S443–S448. 27 indexed citations
12.
Martin, T. John & K.W. Ng. (1994). Mechanisms by which cells of the osteoblast lineage control osteoclast formation and activity. Journal of Cellular Biochemistry. 56(3). 357–366. 129 indexed citations
13.
Traianedes, Kathy, K.W. Ng, T. John Martin, & David M. Findlay. (1993). Cell substratum modulates responses of preosteoblasts to retinoic acid. Journal of Cellular Physiology. 157(2). 243–252. 32 indexed citations
14.
Barnard, Ross, K.W. Ng, T. John Martin, & M. J. Waters. (1991). Growth Hormone (GH) Receptors in Clonal Osteoblast Like Cells Mediate a Mitogenic Response to GH*. Endocrinology. 128(3). 1459–1464. 109 indexed citations
15.
Allan, Elizabeth, Douglas J. Hilton, Melissa A. Brown, et al.. (1990). Osteoblasts display receptors for and responses to leukemia‐inhibitory factor. Journal of Cellular Physiology. 145(1). 110–119. 111 indexed citations
16.
Ng, K.W. & T. John Martin. (1990). Humoral hypercalcemia of malignancy. Clinical Biochemistry. 23(1). 11–16. 8 indexed citations
17.
Suva, Larry J., Karen A. Mather, Matthew T. Gillespie, et al.. (1989). Structure of the 5' flanking region of the gene encoding human parathyroid-hormone-related protein (PTHrP). Gene. 77(1). 95–105. 87 indexed citations
18.
Kubota, Masaru, et al.. (1986). Efficacy and specificity of human parathyroid hormone analogues as antagonists in intact clonal osteogenic sarcoma cells. Journal of Endocrinology. 108(2). 261–265. 14 indexed citations
19.
Ng, K.W., Nicola C. Partridge, M. Niall, & T. John Martin. (1983). Epidermal growth factor receptors in clonal lines of a rat osteogenic sarcoma and in osteoblast-rich rat bone cells. Calcified Tissue International. 35(1). 298–303. 69 indexed citations
20.
Heyma, P, et al.. (1980). D-propranolol and DL-propranolol both decrease conversion of L-thyroxine to L-triiodothyronine.. BMJ. 281(6232). 24–25. 47 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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