Tzong-Yi Lee
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 2%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Ubiquitin and proteasome pathways
Papers in
- Microbiology 17
- Antimicrobial Peptides and Activities 17
-
- Bacterial Identification and Susceptibility Testing 12
- Co-authors
- Kai‐Yao HuangHsien‐Da HuangWen‐Chi ChangCheng-Tsung LuJhih-Hua JhongJustin Bo‐Kai HsuMin-Gang SuTzu‐Hao Chang
- Journals
- BMC Bioinformatics (16 papers)Nucleic Acids Research (11 papers)International Journal of Molecular Sciences (10 papers)Briefings in Bioinformatics (9 papers)PLoS ONE (8 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Tzong-Yi Lee
118 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Microbiology 513
- Molecular Biology 3.7k
- Clinical Biochemistry 220
- Cancer Research 377
- Plant Science 860
Countries citing papers authored by Tzong-Yi Lee
This map shows the geographic impact of Tzong-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 Tzong-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 Tzong-Yi Lee more than expected).
Fields of papers citing papers by Tzong-Yi Lee
This network shows the impact of papers produced by Tzong-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 Tzong-Yi Lee. The network helps show where Tzong-Yi Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzong-Yi Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 21 | |
| 7 | 2021 | 42 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 135 | |
| 14 | 2014 | 52 | |
| 15 | 2013 | 27 | |
| 16 | 2011 | 73 | |
| 17 | 2011 | 84 | |
| 18 | 2011 | 25 | |
| 19 | 2011 | 115 | |
| 20 | 2010 | 64 |
About Tzong-Yi Lee
Tzong-Yi Lee is a scholar working on Microbiology, Clinical Biochemistry, Molecular Biology, Cancer Research and Molecular Medicine, having authored 119 papers that have together received 4.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (44 papers), RNA and protein synthesis mechanisms (19 papers), Antimicrobial Peptides and Activities (17 papers), Genomics and Phylogenetic Studies (15 papers), Protein Structure and Dynamics (14 papers), Bacterial Identification and Susceptibility Testing (12 papers), RNA modifications and cancer (10 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Microbiology (513 citations), Molecular Biology (3.7k citations), Clinical Biochemistry (220 citations), Cancer Research (377 citations) and Plant Science (860 citations). Tzong-Yi Lee has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kai‐Yao Huang, Hsien‐Da Huang, Wen‐Chi Chang, Cheng-Tsung Lu, Jhih-Hua Jhong, Justin Bo‐Kai Hsu, Min-Gang Su, Tzu‐Hao Chang, Chi-Nga Chow and Yi‐Ju Chen. Their work appears in journals such as BMC Bioinformatics, Nucleic Acids Research, International Journal of Molecular Sciences, Briefings in Bioinformatics and PLoS ONE.
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.