Ray Kit Ng

3.0k citations
37 papers · 2.4k indexed · 1 hit paper · h-index 19

Ray Kit Ng

36 papers receiving 2.3k citations

Hit Papers

Isolation and sequence of the gene for actin in Saccharom...5161980202619952010100200300400500

Peers

Ray Kit Ng
Comparison fields: 5 of 116
  • Molecular Biology 1.8k
  • Cell Biology 182
  • Genetics 310
  • Aging 17
  • Hematology 84
Replace Oleg Denisenko with:
Oleg Denisenko United States
Yi Xie China
Radovan Dvorský Germany
Tanja Waldmann Germany
Matthias Gautschi Switzerland
Alan W. Thorne United Kingdom
Kayo Yoshida Japan
François Dautry France
Nazanine Modjtahedi France
Miki Nakamura Japan
Ray Kit Ng relative to Oleg Denisenko United States Oleg Denisenko's profile →
Citations per field
00.5×1.5×2.0×
Oleg Denisenko · 1×
Citations per year

Countries citing papers authored by Ray Kit Ng

Since Specialization
Citations

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

Fields of papers citing papers by Ray Kit Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ray Kit 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 Ray Kit Ng Line = papers co-authored together Ray Kit Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202112
3 202120
4 202012
5 202015
6 202011
7 201823
8 20163
9 201343
10 201013
11 2008271
12 2008273
13 2008124
14 2007243
15 2006219
16 2005102
17 200516
18 200433
19
Validating GOES Instrument Thermal Deformations
20012
20 19748

About Ray Kit Ng

Ray Kit Ng is a scholar working on Hematology, Molecular Biology, Clinical Biochemistry, Immunology and Electrical and Electronic Engineering, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Pluripotent Stem Cells Research (7 papers), Silicon Carbide Semiconductor Technologies (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers), Electrostatic Discharge in Electronics (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cell Biology (182 citations), Genetics (310 citations), Aging (17 citations) and Hematology (84 citations). Ray Kit Ng has collaborated with scholars based in Hong Kong, United Kingdom and United States. Frequent co-authors include John Abelson, J. B. Gurdon, Wendy Dean, Myriam Hemberger, Wolf Reik, Zofia E. Madeja, Diana Lucifero, Claire Dawson, Gabriella Ficz and Simon Andrews. Their work appears in journals such as Experimental Hematology, Nature Cell Biology, Cell Cycle, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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