Sin Hang Lee
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
- Epidemiology 13
- Cervical Cancer and HPV Research 12
- Hepatitis B Virus Studies 7
- Genetics 12
- Estrogen and related hormone effects 8
- Co-authors
- John T. Schmidt (1 shared paper)Vicente J. Caride (1 shared paper)Ronald B. Ponn (1 shared paper)John S. Lambert (3 shared papers)H Aleyassine (2 shared papers)Michael J. Cook (1 shared paper)William E. Allen (1 shared paper)Ross Murtagh (1 shared paper)
- Journals
- American Journal of Clinical Pathology (7 papers)Cancer (3 papers)International Journal of Environmental Research and Public Health (1 paper)Current Medicinal Chemistry (1 paper)Journal of Inorganic Biochemistry (1 paper)
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Sin Hang Lee
35 papers receiving 562 citations
Peers
Comparison fields: 5 of 86
- Parasitology 53
- Genetics 208
- Microbiology 31
- Cancer Research 75
- Epidemiology 166
Countries citing papers authored by Sin Hang Lee
This map shows the geographic impact of Sin Hang 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 Sin Hang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin Hang Lee more than expected).
Fields of papers citing papers by Sin Hang Lee
This network shows the impact of papers produced by Sin Hang 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 Sin Hang Lee. The network helps show where Sin Hang Lee may publish in the future.
Co-authors
The 20 scholars most cited alongside Sin Hang 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 | 1978 | 114 | |
| 2 | 1979 | 65 | |
| 3 | 1980 | 49 | |
| 4 | 2009 | 46 | |
| 5 | 2007 | 44 | |
| 6 | 1992 | 34 | |
| 7 | 2004 | 33 | |
| 8 | 2012 | 31 | |
| 9 | 1981 | 26 | |
| 10 | 2010 | 24 | |
| 11 | 2012 | 18 | |
| 12 | 2019 | 15 | |
| 13 | 1989 | 14 | |
| 14 | 1986 | 14 | |
| 15 | 1969 | 13 | |
| 16 | 2009 | 12 | |
| 17 | 1989 | 12 | |
| 18 | 2009 | 10 | |
| 19 | 1980 | 10 | |
| 20 | 2012 | 9 |
About Sin Hang Lee
Sin Hang Lee is a scholar working on Epidemiology, Genetics, Molecular Biology, Surgery and Infectious Diseases, having authored 38 papers that have together received 672 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (12 papers), Estrogen and related hormone effects (8 papers), Hepatitis B Virus Studies (7 papers), Molecular Biology Techniques and Applications (7 papers), Vector-borne infectious diseases (4 papers), Viral Infections and Vectors (4 papers), Genital Health and Disease (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Parasitology (53 citations), Genetics (208 citations), Microbiology (31 citations), Cancer Research (75 citations) and Epidemiology (166 citations). Sin Hang Lee has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include John T. Schmidt, Vicente J. Caride, Ronald B. Ponn, John S. Lambert, H Aleyassine, Michael J. Cook, William E. Allen, Ross Murtagh, Chris Benz and Gordana Avramovic. Their work appears in journals such as American Journal of Clinical Pathology, Cancer, International Journal of Environmental Research and Public Health, Current Medicinal Chemistry and Journal of Inorganic Biochemistry.
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.