Ying‐Lien Chen

2.5k citations
50 papers · 2.0k · h-index 25

Impact in

Papers in

Ying‐Lien Chen

48 papers receiving 2.0k citations

Peers

Ying‐Lien Chen
Comparison fields: 5 of 116
  • Infectious Diseases 1.0k
  • Epidemiology 816
  • Microbiology 98
  • Pharmacology 181
  • Plant Science 403
Replace Haroldo César de Oliveira with:
Haroldo César de Oliveira Brazil
Ashutosh Singh India
Megan Denise Lenardon United Kingdom
Rocio Garcia‐Rubio Spain
Nuria Trevijano‐Contador Spain
Elizabeth Ripley Ballou United Kingdom
Patrícia Silva Cisalpino Brazil
Everardo López-Romero Mexico
Brendan D. Snarr Canada
Brice Enjalbert France
Ying‐Lien Chen relative to Haroldo César de Oliveira Brazil Haroldo César de Oliveira's profile →
Citations per field
00.5×1.5×1.9×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020176
2 2012161
3 2013157
4 2016136
5 2010125
6 2011112
7 201194
8 201288
9 201987
10 201864
11 201363
12 202059
13 201456
14 201254
15 201553
16 201351
17 201842
18 200838
19 201837
20 201036

About Ying‐Lien Chen

Ying‐Lien Chen is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Oncology and Cell Biology, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (30 papers), Fungal Infections and Studies (24 papers), Peptidase Inhibition and Analysis (11 papers), Plant-Microbe Interactions and Immunity (7 papers), Antimicrobial Peptides and Activities (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Antimicrobial agents and applications (4 papers) and Nail Diseases and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Epidemiology (816 citations), Microbiology (98 citations), Pharmacology (181 citations) and Plant Science (403 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, Dobrawa Kwaśniewska, Todd B. Reynolds, Anna Floyd Averette, Sarah Kauffman, Ursela G. Bigol and Fitz Gerald S. Silao. Their work appears in journals such as Medical Mycology, PLoS ONE, Frontiers in Microbiology, Virulence and PLoS Pathogens.

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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