Yu-Lin Lee

60 papers receiving 1.1k citations

Peers

Yu-Lin Lee
Comparison fields: 5 of 111
  • Molecular Medicine 330
  • Applied Microbiology and Biotechnology 103
  • Endocrinology 146
  • Hepatology 85
  • Infectious Diseases 205
Replace J.-J. Wu with:
J.-J. Wu Taiwan
Dokyun Kim South Korea
Mansour Sedighi Iran
Hyuck Lee South Korea
Alessandro Leonildi Italy
Sointu Mero Finland
Marta Wróblewska Poland
Babatunde Olubajo United States
Nenad Maćešić Australia
Narcisa Mesaros Belgium
Yu-Lin Lee relative to J.-J. Wu Taiwan J.-J. Wu's profile →
Citations per field
00.5×10×14×
J.-J. Wu · 1×
Citations per year

Countries citing papers authored by Yu-Lin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Lin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Lin Lee. 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-Lin Lee. The network helps show where Yu-Lin Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012168
2 201977
3 200977
4 201776
5 201767
6 202254
7 201349
8 202147
9 201237
10 202234
11 201232
12 201229
13 202127
14 202225
15 201425
16 202022
17 200618
18 201217
19 202015
20 201115

About Yu-Lin Lee

Yu-Lin Lee is a scholar working on Molecular Medicine, Infectious Diseases, Epidemiology, Endocrinology and Condensed Matter Physics, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Infections and bacterial resistance (7 papers), GaN-based semiconductor devices and materials (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antifungal resistance and susceptibility (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Plant Pathogenic Bacteria Studies (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Molecular Medicine (330 citations), Applied Microbiology and Biotechnology (103 citations), Endocrinology (146 citations), Hepatology (85 citations) and Infectious Diseases (205 citations). Yu-Lin Lee has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Po‐Ren Hsueh, Wen‐Chien Ko, Liann‐Be Chang, Ming‐Jer Jeng, Chun-Eng Liu, Chun-Eng Liu, Yuag-Meng Liu, Yung-Ching Liu, Yao-Shen Chen and Po‐Liang Lu. Their work appears in journals such as International Journal of Antimicrobial Agents, Journal of Microbiology Immunology and Infection, International Journal of Infectious Diseases, Journal of Antimicrobial Chemotherapy and Plant Disease.

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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