Yu‐Shan Huang

10.2k citations
139 papers · 6.9k indexed · 1 hit paper · h-index 22

Yu‐Shan Huang

132 papers receiving 6.8k citations

Hit Papers

IDF Diabetes Atlas: Global estimates of diabetes prevalen...5.2k201820262020202310002.0k3.0k4.0k5.0k

Peers

Yu‐Shan Huang
Comparison fields: 5 of 179
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Infectious Diseases 708
  • Health Information Management 168
  • Obstetrics and Gynecology 262
  • Virology 155
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
00.5×3.6×
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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20251
5 20241
6 202419
7 20241
8 20241
9 20240
10 20233
11 20236
12 20223
13 202117
14 202121
15 20211
16 20213
17 201710
18 20170
19 201714
20 200930

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), Hepatitis B Virus Studies (17 papers), HIV/AIDS Research and Interventions (15 papers), SARS-CoV-2 and COVID-19 Research (11 papers), HIV Research and Treatment (9 papers), Antibiotic Resistance in Bacteria (9 papers) and COVID-19 Clinical Research Studies (9 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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