Ying‐Lien Chen

2.5k citations
48 papers · 1.9k · h-index 24

Impact in

Papers in

Ying‐Lien Chen

45 papers receiving 1.9k citations

Peers

Ying‐Lien Chen
Comparison fields: 5 of 114
  • Infectious Diseases 966
  • Epidemiology 761
  • Microbiology 95
  • Pharmacology 171
  • Plant Science 384
Replace Haroldo César de Oliveira with:
Haroldo César de Oliveira Brazil
Daniel Assis Santos Brazil
Patrick Vandeputte France
Kelly Ishida Brazil
Megan D. Lenardon United Kingdom
Nuria Trevijano‐Contador Spain
Everardo López-Romero Mexico
Rocio Garcia‐Rubio Spain
Tulika Prasad India
Ulrike Binder Austria
Ying‐Lien Chen relative to Haroldo César de Oliveira Brazil Haroldo César de Oliveira's profile →
Citations per field
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Haroldo César de Oliveira · 1×
Citations per year

Countries citing papers authored by Ying‐Lien Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Lien Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Lien Chen. 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 Ying‐Lien Chen. The network helps show where Ying‐Lien Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020171
2 2012159
3 2013157
4 2016136
5 2010123
6 2011108
7 201191
8 201285
9 201864
10 201362
11 201454
12 201253
13 201352
14 202052
15 201552
16 201840
17 200838
18 201037
19 201835
20 201631

About Ying‐Lien Chen

Ying‐Lien Chen is a scholar working on Infectious Diseases, Epidemiology, Oncology, Plant Science and Organic Chemistry, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (29 papers), Fungal Infections and Studies (24 papers), Peptidase Inhibition and Analysis (10 papers), Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogens and Fungal Diseases (5 papers), Antimicrobial agents and applications (4 papers), Antimicrobial Peptides and Activities (4 papers) and Nail Diseases and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (966 citations), Epidemiology (761 citations), Microbiology (95 citations), Pharmacology (171 citations) and Plant Science (384 citations). Ying‐Lien Chen has collaborated with scholars based in Taiwan, United States and Poland. Frequent co-authors include Joseph Heitman, Ya-Lin Chang, Shang-Jie Yu, Daria Wieczorek, Todd B. Reynolds, Anna Floyd Averette, Sarah Kauffman, Melanie Wellington, Ursela G. Bigol and Fitz Gerald S. Silao. Their work appears in journals such as Medical Mycology, PLoS ONE, Frontiers in Microbiology, Virulence and G3 Genes Genomes Genetics.

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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