Shih-Yi Lee

65 papers receiving 1.1k citations

Peers

Shih-Yi Lee
Comparison fields: 5 of 121
  • Electrochemistry 106
  • Infectious Diseases 280
  • Clinical Biochemistry 101
  • Microbiology 91
  • Bioengineering 51
Replace Rainer Trittler with:
Rainer Trittler Germany
Ashley N. Brown United States
Neil E. Klutman United States
Yan‐Chiao Mao Taiwan
Magdalena Strus Poland
Irene Dige Denmark
Pei-Jane Tsai Taiwan
Zahra Meshkat Iran
Chin‐Chung Tseng Taiwan
José M. Lanao Spain
Shih-Yi Lee relative to Rainer Trittler Germany Rainer Trittler's profile →
Citations per field
00.5×4.0×
Rainer Trittler · 1×
Citations per year

Countries citing papers authored by Shih-Yi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Yi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000210
2 201753
3 201850
4 201949
5 200948
6 200747
7 202045
8 200742
9 201728
10 201528
11 200928
12 200527
13 200926
14 200426
15 201525
16 200925
17 201924
18 201223
19 202022
20 201619

About Shih-Yi Lee

Shih-Yi Lee is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery, Epidemiology and Molecular Biology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Infective Endocarditis Diagnosis and Management (6 papers), Airway Management and Intubation Techniques (5 papers), Pleural and Pulmonary Diseases (5 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Electrochemistry (106 citations), Infectious Diseases (280 citations), Clinical Biochemistry (101 citations), Microbiology (91 citations) and Bioengineering (51 citations). Shih-Yi Lee has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Jang‐Jih Lu, Cherng‐Lih Perng, Wen‐Han Chang, Hui-Chun Ku, Shen‐Ming Chen, Tse-Wei Chen, Jun‐Ren Sun, Ming‐Jai Su, Yueh‐Hsiung Kuo and Sathishkumar Chinnapaiyan. Their work appears in journals such as Journal of Clinical Microbiology, Ultrasonics Sonochemistry, Biomedicine & Pharmacotherapy, Journal of Visualized Experiments and Pharmacological Reports.

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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