Shao-Nan Huang

1.1k total citations
23 papers, 912 citations indexed

About

Shao-Nan Huang is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Shao-Nan Huang has authored 23 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Hepatology and 4 papers in Molecular Biology. Recurrent topics in Shao-Nan Huang's work include Hepatitis B Virus Studies (4 papers), Computational Drug Discovery Methods (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Shao-Nan Huang is often cited by papers focused on Hepatitis B Virus Studies (4 papers), Computational Drug Discovery Methods (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Shao-Nan Huang collaborates with scholars based in Canada, Taiwan and United States. Shao-Nan Huang's co-authors include Francis V. Chisari, Nai‐San Wang, Phil Gold, Kenneth S. S. Chang, Sun‐Lung Tsai, Dar‐In Tai, Ya‐Hui Chang, Yun-Fan Liaw, Young-Mao Chen and Cheng‐Yuan Peng and has published in prestigious journals such as Hepatology, Cancer and American Heart Journal.

In The Last Decade

Shao-Nan Huang

23 papers receiving 829 citations

Peers

Shao-Nan Huang
Comparison fields: 5 of 88
  • Epidemiology 300
  • Molecular Biology 276
  • Hepatology 243
  • Cancer Research 153
  • Oncology 147
Replace Dominique Bernuau with:
Dominique Bernuau France
Jonathan M. Goodwin United States
Motoyasu Ishii Japan
Jean‐Pierre Couty France
Jingyu Diao Canada
Csilla Páska Hungary
Carolina Armengol Spain
Jobst Greeve Germany
Chia‐Huei Lee Taiwan
Jacqueline M. Tarrant United States
Dominique Bernuau France View profile →
Citations per field, relative to Shao-Nan Huang
Shao-Nan Huang · 1×
Citations per year, relative to Shao-Nan Huang
Shao-Nan Huang · 1×

Countries citing papers authored by Shao-Nan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Nan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Nan 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 Shao-Nan Huang. The network helps show where Shao-Nan Huang may publish in the future.

Co-authorship network of co-authors of Shao-Nan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Nan Huang. A scholar is included among the top collaborators of Shao-Nan 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 Shao-Nan Huang. Shao-Nan 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
# Work Indexed citations
1 161
2 166
3 96
4 29
5 7
6 21
7 29
8 14
9 117
10 23
11 21
12 13
13 10
14 17
15
A study of human cardiac allograft in a patient with four-year survival.
2
16
Hepatitis with Australia antigenemia following renal transplantation.
18
17
Squamous metaplasia of the opening of bronchial glands.
17
18
Virus-like particles in Australia antigen-associated hepatitis. An immunoelectron microscopic study of human liver.
33
19 29
20 26

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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