Ho Leung Ng

4.8k citations
49 papers · 3.2k indexed · 1 hit paper · h-index 24
Topics
RNA and protein synthesis mechanisms (6 papers)Computational Drug Discovery Methods (6 papers)Biochemical and Molecular Research (5 papers)

In The Last Decade

Ho Leung Ng

47 papers receiving 3.1k citations

Hit Papers

Detecting Protein Function and Protein-Protein Interactio...199920262008201719994008001.2k

Peers

Ho Leung Ng
Comparison fields: 5 of 127
  • Molecular Biology 2.5k
  • Materials Chemistry 317
  • Genetics 277
  • Biophysics 226
  • Infectious Diseases 219
Replace Bruno E. Correia with:
Bruno E. Correia Switzerland
Cyril Dominguez United Kingdom
Monika G. Wood United States
James V. Falvo United States
Timothy H. Tran United States
John D. Gross United States
Pedro Beltrão United Kingdom
Charles R. Kissinger United States
John Karanicolas United States
Per Jemth Sweden
Ho Leung Ng relative to Bruno E. Correia Switzerland Bruno E. Correia's profile →
Citations per field
00.5×1.5×2.5×
Bruno E. Correia · 1×
Citations per year

Countries citing papers authored by Ho Leung Ng

Since Specialization
Citations

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

Fields of papers citing papers by Ho Leung Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ho Leung Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Leung Ng. A scholar is included among the top collaborators of Ho Leung 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 Ho Leung Ng. Ho Leung 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
#WorkIndexed citations
1 0
2 12
3 7
4 2
5 13
6 15
7 47
8 164
9 4
10 10
11 33
12 48
13 203
14 236
15 60
16 84
17 60
18 44
19 56
20 25

About Ho Leung Ng

Ho Leung Ng is a scholar working on Biophysics, Infectious Diseases and Molecular Biology, having authored 49 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Computational Drug Discovery Methods (6 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Biophysics (226 citations), Molecular Biology (2.5k citations) and Structural Biology (38 citations). Ho Leung Ng has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Matteo Pellegrini, David Eisenberg, Todd O. Yeates, Danny W. Rice, Edward M. Marcotte, Tom Alber, Richard E. Dickerson, Mary L. Kopka, Michael Z. Lin and Takehiko Tosha. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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