Yu‐Ching Lee
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Virology top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 7
-
- Monoclonal and Polyclonal Antibodies Research 15
- Co-authors
- Keng‐Chang Tsai (19 shared papers)Nai‐Wan Hsiao (6 shared papers)Wang-Chuan Chen (8 shared papers)Tien‐Sheng Tseng (4 shared papers)Yun-Lian Lin (2 shared papers)Chin-Chuan Tsai (1 shared paper)Zhi‐Hong Wen (1 shared paper)Sy‐Jye Leu (8 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Scientific Reports (4 papers)Molecular BioSystems (2 papers)Structure (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu‐Ching Lee
43 papers receiving 821 citations
Peers
Comparison fields: 5 of 91
- Biochemistry 65
- Virology 41
- Cell Biology 146
- Radiology, Nuclear Medicine and Imaging 172
- Nutrition and Dietetics 95
Countries citing papers authored by Yu‐Ching Lee
This map shows the geographic impact of Yu‐Ching 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‐Ching 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‐Ching Lee more than expected).
Fields of papers citing papers by Yu‐Ching Lee
This network shows the impact of papers produced by Yu‐Ching 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‐Ching Lee. The network helps show where Yu‐Ching Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Ching 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 154 | |
| 2 | 2010 | 67 | |
| 3 | 2017 | 44 | |
| 4 | 2012 | 43 | |
| 5 | 2019 | 37 | |
| 6 | 2017 | 36 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 32 | |
| 9 | 2013 | 29 | |
| 10 | 2015 | 26 | |
| 11 | 2014 | 26 | |
| 12 | 2013 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 2007 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2010 | 14 |
About Yu‐Ching Lee
Yu‐Ching Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Genetics, having authored 44 papers that have together received 830 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (7 papers), Venomous Animal Envenomation and Studies (4 papers), Rabies epidemiology and control (3 papers), HER2/EGFR in Cancer Research (3 papers), Immunotherapy and Immune Responses (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Biochemistry (65 citations), Virology (41 citations), Cell Biology (146 citations), Radiology, Nuclear Medicine and Imaging (172 citations) and Nutrition and Dietetics (95 citations). Yu‐Ching Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Keng‐Chang Tsai, Nai‐Wan Hsiao, Wang-Chuan Chen, Tien‐Sheng Tseng, Yun-Lian Lin, Chin-Chuan Tsai, Zhi‐Hong Wen, Sy‐Jye Leu, An‐Suei Yang and Yun Yen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, Molecular BioSystems, Structure and Bioorganic & Medicinal Chemistry Letters.
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.