Mun‐Hon Ng

2.7k citations
29 papers · 1.2k · h-index 18

Impact in

  • Hepatology top 1%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology

Papers in

Mun‐Hon Ng

29 papers receiving 1.2k citations

Peers

Mun‐Hon Ng
Comparison fields: 5 of 67
  • Hepatology 815
  • Infectious Diseases 561
  • Small Animals 85
  • Epidemiology 232
  • Emergency Medical Services 35
Replace Manfred Motz with:
Manfred Motz Germany
Ruofei Feng China
I‐Jane Sheen Taiwan
Margaret C. Croxson New Zealand
Hajime Tokita Japan
Sophie Rogée France
Hicham El Costa France
Natàlia Casamitjana Spain
Caroline Scholtès France
Emanuela Pelosi United Kingdom
Mun‐Hon Ng relative to Manfred Motz Germany Manfred Motz's profile →
Citations per field
00.5×8.8×
Manfred Motz · 1×
Citations per year

Countries citing papers authored by Mun‐Hon Ng

Since Specialization
Citations

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

Fields of papers citing papers by Mun‐Hon Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun‐Hon 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 Mun‐Hon Ng. The network helps show where Mun‐Hon Ng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010111
2 2006110
3 200993
4 200983
5 201283
6 201572
7 200472
8 200763
9 200160
10 201256
11 200151
12 201448
13 201045
14 200236
15 201231
16 201330
17 200121
18 200117
19 201917
20 201117

About Mun‐Hon Ng

Mun‐Hon Ng is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Oncology and Immunology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (15 papers), Viral gastroenteritis research and epidemiology (11 papers), Hepatitis B Virus Studies (7 papers), Viral-associated cancers and disorders (6 papers), Immune Cell Function and Interaction (3 papers), Viral Infections and Immunology Research (3 papers), Head and Neck Cancer Studies (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Hepatology (815 citations), Infectious Diseases (561 citations), Small Animals (85 citations), Epidemiology (232 citations) and Emergency Medical Services (35 citations). Mun‐Hon Ng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jun Zhang, Ningshao Xia, Ting Wu, Shaowei Li, Shengxiang Ge, Qinjian Zhao, Qiang Yan, Yanping Li, Rongcheng Li and Yi Nong. Their work appears in journals such as PLoS ONE, Vaccine, Human Vaccines & Immunotherapeutics, Journal of General Virology and Marine Biotechnology.

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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