Bai‐Yu Lee
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- Bacillus and Francisella bacterial research 18
- Cancer therapeutics and mechanisms 4
-
- Tuberculosis Research and Epidemiology 8
- Viral Infections and Outbreaks Research 4
- Co-authors
- Marcus A. Horwitz (36 shared papers)Daniel L. Clemens (33 shared papers)Jeffrey I. Zink (8 shared papers)Barbara Jane Dillon (10 shared papers)Bradford W. Gibson (2 shared papers)Zilu Li (3 shared papers)Z. Hong Zhou (3 shared papers)P. Ge (1 shared paper)
- Journals
- Infection and Immunity (12 papers)Small (3 papers)PLoS ONE (2 papers)ACS Nano (2 papers)Vaccine (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Bai‐Yu Lee
37 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 120
- Endocrinology 291
- Infectious Diseases 565
- Virology 106
- Molecular Medicine 107
- Biomaterials 243
Countries citing papers authored by Bai‐Yu Lee
This map shows the geographic impact of Bai‐Yu 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 Bai‐Yu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai‐Yu Lee more than expected).
Fields of papers citing papers by Bai‐Yu Lee
This network shows the impact of papers produced by Bai‐Yu 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 Bai‐Yu Lee. The network helps show where Bai‐Yu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai‐Yu 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 287 | |
| 2 | 2012 | 195 | |
| 3 | 2005 | 157 | |
| 4 | 2000 | 144 | |
| 5 | 2015 | 138 | |
| 6 | 2015 | 129 | |
| 7 | 1999 | 111 | |
| 8 | 2015 | 109 | |
| 9 | 2000 | 105 | |
| 10 | 2016 | 73 | |
| 11 | 2016 | 72 | |
| 12 | 2015 | 70 | |
| 13 | 2017 | 66 | |
| 14 | 2009 | 56 | |
| 15 | 2018 | 56 | |
| 16 | 2006 | 53 | |
| 17 | 2009 | 53 | |
| 18 | 2010 | 47 | |
| 19 | 2017 | 47 | |
| 20 | 2018 | 46 |
About Bai‐Yu Lee
Bai‐Yu Lee is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Ecology and Epidemiology, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (18 papers), Tuberculosis Research and Epidemiology (8 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers), Antibiotic Resistance in Bacteria (4 papers), Microbial Inactivation Methods (4 papers), Cancer therapeutics and mechanisms (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Endocrinology (291 citations), Infectious Diseases (565 citations), Virology (106 citations), Molecular Medicine (107 citations) and Biomaterials (243 citations). Bai‐Yu Lee has collaborated with scholars based in United States and China. Frequent co-authors include Marcus A. Horwitz, Daniel L. Clemens, Jeffrey I. Zink, Barbara Jane Dillon, Bradford W. Gibson, Zilu Li, Z. Hong Zhou, P. Ge, Daniel P. Ferris and Angela Hwang. Their work appears in journals such as Infection and Immunity, Small, PLoS ONE, ACS Nano and Vaccine.
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.