K.W. Ng

2.4k citations
40 papers · 1.9k · h-index 24

Impact in

Papers in

    • Bone Metabolism and Diseases 15
    • Retinoids in leukemia and cellular processes 5
    • Metabolism, Diabetes, and Cancer 5
    • Fibroblast Growth Factor Research 3
    • Bone health and treatments 15
    • Cytokine Signaling Pathways and Interactions 3

K.W. Ng

38 papers receiving 1.9k citations

Peers

K.W. Ng
Comparison fields: 5 of 103
  • Oncology 883
  • Orthopedics and Sports Medicine 251
  • Molecular Biology 1.2k
  • Endocrinology, Diabetes and Metabolism 272
  • Rheumatology 218
Replace Kong Wah Ng with:
Kong Wah Ng Australia
S Bord United Kingdom
P.W.M. Ho Australia
S. C. Manolagas United States
Elizabeth Allan Australia
Rebecca R. Miles United States
Joseph A. Lorenzo United States
Donna N. Petersen United States
David L. Halladay United States
Nagako Akeno United States
K.W. Ng relative to Kong Wah Ng Australia Kong Wah Ng's profile →
Citations per field
00.5×1.5×1.9×
Kong Wah Ng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside K.W. Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K.W. Ng Line = papers co-authored together K.W. Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999263
2 1985172
3 1996164
4 1994130
5 1990110
6 1991109
7 1983101
8 199688
9 198987
10 199778
11 198369
12 198362
13 198047
14 200645
15 199443
16 198735
17 199332
18 200829
19 199527
20 199527

About K.W. Ng

K.W. Ng is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Rheumatology and Cancer Research, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Bone health and treatments (15 papers), Bone and Dental Protein Studies (5 papers), Retinoids in leukemia and cellular processes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Fibroblast Growth Factor Research (3 papers), Cell Adhesion Molecules Research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Oncology (883 citations), Orthopedics and Sports Medicine (251 citations), Molecular Biology (1.2k citations), Endocrinology, Diabetes and Metabolism (272 citations) and Rheumatology (218 citations). K.W. Ng has collaborated with scholars based in Australia, United States and Denmark. Frequent 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. Their work appears in journals such as Bone, Journal of Cellular Physiology, Calcified Tissue International, Journal of Molecular Endocrinology and Gene.

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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