Yun-Liang Yang

1.8k citations
50 papers · 1.5k indexed · h-index 22
Topics
Antifungal resistance and susceptibility (35 papers)Fungal Infections and Studies (27 papers)Pneumocystis jirovecii pneumonia detection and treatment (10 papers)
Partner nations
TaiwanUnited StatesIndia

In The Last Decade

Yun-Liang Yang

50 papers receiving 1.4k citations

Peers

Yun-Liang Yang
Comparison fields: 5 of 96
  • Infectious Diseases 1.0k
  • Epidemiology 784
  • Molecular Biology 297
  • Public Health, Environmental and Occupational Health 200
  • Cell Biology 132
Replace Uwe Groß with:
Uwe Groß Germany
Tanya Parkinson United Kingdom
M G Rinaldi United States
Klaus Schröppel Germany
A. M. Freydière France
Isabel Cuesta Spain
Danièle Maubon France
Melanie Wellington United States
Elena N. Ilina Russia
J. Jeljaszewicz Poland
Yun-Liang Yang relative to Uwe Groß Germany Uwe Groß's profile →
Citations per field
00.5×2.9×
Uwe Groß · 1×
Citations per year

Countries citing papers authored by Yun-Liang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Liang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Liang Yang. 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 Yun-Liang Yang. The network helps show where Yun-Liang Yang may publish in the future.

Co-authorship network of co-authors of Yun-Liang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Liang Yang. A scholar is included among the top collaborators of Yun-Liang Yang 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 Yun-Liang Yang. Yun-Liang Yang 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 4
2 1
3 7
4 16
5 9
6 19
7 16
8 58
9 7
10 11
11 57
12 90
13 11
14 11
15 25
16 24
17 110
18 103
19 25
20 5

About Yun-Liang Yang

Yun-Liang Yang is a scholar working on Infectious Diseases, Epidemiology and Cell Biology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (35 papers), Fungal Infections and Studies (27 papers) and Pneumocystis jirovecii pneumonia detection and treatment (10 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Epidemiology (784 citations) and Applied Microbiology and Biotechnology (37 citations). Yun-Liang Yang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Hsiu‐Jung Lo, Hsiao-Hsu Cheng, Monto Ho, Kent W. Hunter, Chih-Chao Lin, James M. Cunningham, Ming‐Fang Cheng, Hsin‐I Shih, Kwok‐Woon Yu and Kai‐Sheng Hsieh. Their work appears in journals such as Nature Genetics, PLoS ONE and Journal of Molecular Biology.

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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