M.H. Ng

897 citations
17 papers · 584 indexed · h-index 9
Topics
Viral-associated cancers and disorders (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)Viral gastroenteritis research and epidemiology (2 papers)

In The Last Decade

M.H. Ng

17 papers receiving 557 citations

Peers

M.H. Ng
Comparison fields: 5 of 76
  • Molecular Biology 243
  • Oncology 149
  • Biomedical Engineering 110
  • Infectious Diseases 105
  • Epidemiology 80
Replace Heinrich G. Köchel with:
Heinrich G. Köchel Germany
Kenneth Alibek Kazakhstan
Mark Manak United States
Joanne Y. H. Lim United States
Nicole Barat United States
Christian Fermér Sweden
Julianne Peabody United States
Warren D. Gehle United States
Nicolas Sabarth Austria
Caroline A.J. Horvath Belgium
M.H. Ng relative to Heinrich G. Köchel Germany Heinrich G. Köchel's profile →
Citations per field
00.5×10×13.8×
Heinrich G. Köchel · 1×
Citations per year

Countries citing papers authored by M.H. Ng

Since Specialization
Citations

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

Fields of papers citing papers by M.H. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.H. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of M.H. Ng. A scholar is included among the top collaborators of M.H. 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 M.H. Ng. M.H. Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 74
2 124
3 27
4 102
5 33
6 33
7 6
8 7
9
Potentiation of mitogenic response by extracts of the swiftlet's apus nest collected from huai ji china
12
10 2
11 8
12 5
13 3
14 106
15 5
16
Potentiation of mitogenic response by extracts of the swiftlet's (Collocalia) nest.
34
17 3

About M.H. Ng

M.H. Ng is a scholar working on Infectious Diseases, Hepatology and Otorhinolaryngology, having authored 17 papers that have together received 584 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Hepatology (78 citations), Otorhinolaryngology (41 citations) and Virology (29 citations). M.H. Ng has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include S.P. Ng, Yao Kong, S W Tsao, W.M. Keung, Kisung Ko, Shihui Si, Y.S. Fung, S.Z. Yao, Yuet Yen Wong and Kwok Hung Chan. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Virology and British Journal of Cancer.

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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