Shaun W. Lee
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Microbiology top 2%
- Food Science top 5%
- Co-authors
- Dustin L. HigashiMagdalene SoFrancis CastellinoVictoria A. PloplisAndrew L. MarkleyDouglas A. MitchellVictor NizetJack E. Dixon
- Topics
- Streptococcal Infections and Treatments (35 papers)Antimicrobial Resistance in Staphylococcus (22 papers)Neonatal and Maternal Infections (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaChina
In The Last Decade
Shaun W. Lee
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 653
- Public Health, Environmental and Occupational Health 359
- Infectious Diseases 275
- Microbiology 259
- Food Science 154
Countries citing papers authored by Shaun W. Lee
This map shows the geographic impact of Shaun W. 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 Shaun W. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun W. Lee more than expected).
Fields of papers citing papers by Shaun W. Lee
This network shows the impact of papers produced by Shaun W. 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 Shaun W. Lee. The network helps show where Shaun W. Lee may publish in the future.
Co-authorship network of co-authors of Shaun W. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun W. Lee. A scholar is included among the top collaborators of Shaun W. Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaun W. Lee. Shaun W. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 12 | |
| 14 | 19 | |
| 15 | 22 | |
| 16 | 14 | |
| 17 | 53 | |
| 18 | 169 | |
| 19 | 59 | |
| 20 | 18 |
About Shaun W. Lee
Shaun W. Lee is a scholar working on Microbiology, Clinical Biochemistry and Infectious Diseases, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (35 papers), Antimicrobial Resistance in Staphylococcus (22 papers) and Neonatal and Maternal Infections (13 papers). The work is most often cited by research in Microbiology (259 citations), Clinical Biochemistry (105 citations) and Infectious Diseases (275 citations). Shaun W. Lee has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Dustin L. Higashi, Magdalene So, Francis Castellino, Victoria A. Ploplis, Andrew L. Markley, Douglas A. Mitchell, Victor Nizet, Jack E. Dixon, Zhong Liang and David J. Gonzalez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.