Shu‐Yung Lin

428 citations
24 papers · 300 indexed · h-index 10
Topics
Tuberculosis Research and Epidemiology (6 papers)Diagnosis and treatment of tuberculosis (4 papers)Glycosylation and Glycoproteins Research (3 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaCancer Research
Partner nations
TaiwanUnited States

In The Last Decade

Shu‐Yung Lin

21 papers receiving 295 citations

Peers

Shu‐Yung Lin
Comparison fields: 5 of 53
  • Oncology 95
  • Epidemiology 86
  • Pulmonary and Respiratory Medicine 74
  • Immunology 72
  • Surgery 62
Replace Stephanie L. Ong with:
Stephanie L. Ong United States
Zhiwen Lu China
Upasana Kulkarni Germany
Jianqiao Xu China
Xiaofei Gu China
Gianluca Businello Italy
Lingyin Ge United States
Norihito Omote Japan
Fuyi Liao United States
Lucie Jolly France
Shu‐Yung Lin relative to Stephanie L. Ong United States Stephanie L. Ong's profile →
Citations per field
00.5×12×
Stephanie L. Ong · 1×
Citations per year

Countries citing papers authored by Shu‐Yung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Yung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Yung Lin. 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 Shu‐Yung Lin. The network helps show where Shu‐Yung Lin may publish in the future.

Co-authorship network of co-authors of Shu‐Yung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Yung Lin. A scholar is included among the top collaborators of Shu‐Yung Lin 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 Shu‐Yung Lin. Shu‐Yung Lin 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 1
3 1
4 0
5 4
6 25
7 22
8 1
9 28
10 11
11 1
12 1
13 44
14 8
15 11
16 4
17 67
18 26
19
Cavernoma of the central nervous system: Surgical experience in the magnetic resonance imaging era
1
20 29

About Shu‐Yung Lin

Shu‐Yung Lin is a scholar working on Infectious Diseases, Immunology and Biotechnology, having authored 24 papers that have together received 300 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Diagnosis and treatment of tuberculosis (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (19 citations), Oncology (95 citations) and Immunology (72 citations). Shu‐Yung Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chong‐Jen Yu, Hsing-Chen Tsai, Chao‐Chi Ho, Hsuan‐Hsuan Lu, Chia‐Lin Hsu, Won‐Young Lee, Chih‐Hsien Wang, Sheng‐Hong Tseng, Jin‐Yuan Shih and Feng‐Ming Tien. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

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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