Chang–Xing Huang

738 citations
37 papers · 585 indexed · h-index 13
Topics
Hepatitis B Virus Studies (14 papers)Viral Infections and Vectors (9 papers)Viral Infections and Outbreaks Research (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Chang–Xing Huang

36 papers receiving 572 citations

Peers

Chang–Xing Huang
Comparison fields: 5 of 78
  • Immunology 246
  • Epidemiology 222
  • Infectious Diseases 194
  • Hepatology 112
  • Molecular Biology 82
Replace Jianqi Lian with:
Jianqi Lian China
Jiuping Wang China
Sai Lou China
Katie Anderson United States
Vidyanath Chaudhary Hong Kong
Yecheng Zhang China
W. Hampl Germany
Zerui Zhang China
Yoshiyuki Nagai Japan
Kalliopi Pervolaraki Germany
Chang–Xing Huang relative to Jianqi Lian China Jianqi Lian's profile →
Citations per field
00.5×1.5×
Jianqi Lian · 1×
Citations per year

Countries citing papers authored by Chang–Xing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chang–Xing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang–Xing Huang. 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 Chang–Xing Huang. The network helps show where Chang–Xing Huang may publish in the future.

Co-authorship network of co-authors of Chang–Xing Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang–Xing Huang. A scholar is included among the top collaborators of Chang–Xing Huang 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 Chang–Xing Huang. Chang–Xing Huang 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 37
2 11
3
Expert consensus on clinical prevention and treatment of COVID-19
2
4 1
5 8
6 5
7 12
8 42
9 28
10 4
11 18
12 3
13 14
14 18
15 11
16 12
17 28
18
[Identification of a functional ITAM-like sequence within G1 cytoplasmic tail of Hantaan virus].
3
19 12
20 26

About Chang–Xing Huang

Chang–Xing Huang is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 37 papers that have together received 585 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (14 papers), Viral Infections and Vectors (9 papers) and Viral Infections and Outbreaks Research (7 papers). The work is most often cited by research in Hepatology (112 citations), Immunology (246 citations) and Infectious Diseases (194 citations). Chang–Xing Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ye Zhang, Xue–Fan Bai, Jianqi Lian, Michael D. Robek, Pingzhong Wang, Carmen J. Booth, Wei Xin, Jiuping Wang, Jia Zhansheng and Zhe Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Biochemical and Biophysical Research Communications.

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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