Yu‐Shan Huang

10.2k citations
139 papers · 6.9k indexed · 1 hit paper · h-index 22
Topics
Hepatitis C virus research (20 papers)HIV/AIDS drug development and treatment (19 papers)Hepatitis B Virus Studies (17 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
TaiwanChinaUnited States

In The Last Decade

Yu‐Shan Huang

132 papers receiving 6.8k citations

Hit Papers

IDF Diabetes Atlas: Global estimates of diabetes prevalen...2018202620202023201810002.0k3.0k4.0k5.0k

Peers

Yu‐Shan Huang
Comparison fields: 5 of 179
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Molecular Biology 1.6k
  • Epidemiology 1.1k
  • Physiology 827
  • Surgery 729
Replace Jean Claude Mbanya with:
Jean Claude Mbanya Cameroon
Li Chen China
Ayesha A. Motala South Africa
Lei Chen China
Jawahar L. Mehta United States
Thomas R. Ziegler United States
Jay S. Skyler United States
Tomasz J. Guzik Poland
José López‐Miranda Spain
Johann Willeit Austria
Yu‐Shan Huang relative to Jean Claude Mbanya Cameroon Jean Claude Mbanya's profile →
Citations per field
00.5×1.7×
Jean Claude Mbanya · 1×
Citations per year

Countries citing papers authored by Yu‐Shan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Shan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Shan 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 Yu‐Shan Huang. The network helps show where Yu‐Shan Huang may publish in the future.

Co-authorship network of co-authors of Yu‐Shan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Shan Huang. A scholar is included among the top collaborators of Yu‐Shan 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 Yu‐Shan Huang. Yu‐Shan 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 0
2 0
3 1
4 1
5 1
6 19
7 1
8 1
9 0
10 3
11 6
12 3
13 17
14 21
15 1
16 3
17 10
18 0
19 14
20 30

About Yu‐Shan Huang

Yu‐Shan Huang is a scholar working on Infectious Diseases, Hepatology and Applied Microbiology and Biotechnology, having authored 139 papers that have together received 6.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), HIV/AIDS drug development and treatment (19 papers) and Hepatitis B Virus Studies (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Infectious Diseases (708 citations) and Health Information Management (168 citations). Yu‐Shan Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include João Fernandes, Jonathan E. Shaw, Belma Malanda, Suvi Karuranga, Chien‐Ching Hung, Shan‐Chwen Chang, Hsin‐Yun Sun, Jann‐Tay Wang, Kuan‐Yin Lin and Her‐Hsiung Huang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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