Sin Hang Lee
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
- Epidemiology 15
- Cervical Cancer and HPV Research 14
- Hepatitis B Virus Studies 4
- Genetics 11
- Estrogen and related hormone effects 8
- Vascular Anomalies and Treatments 2
- Co-authors
- John T. Schmidt (1 shared paper)Hassan Aleyassine (2 shared papers)Ronald B. Ponn (1 shared paper)John Shearer Lambert (3 shared papers)Vicente J. Caride (1 shared paper)Donald R. Mayo (1 shared paper)R.A. Black (1 shared paper)Israel Wiznitzer (1 shared paper)
- Journals
- American Journal of Clinical Pathology (10 papers)Cancer (3 papers)Obstetrics and Gynecology (1 paper)BMC Clinical Pathology (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesPakistanCanada
In The Last Decade
Sin Hang Lee
39 papers receiving 598 citations
Peers
Comparison fields: 5 of 88
- Parasitology 55
- Genetics 215
- Epidemiology 174
- Cancer Research 65
- Oncology 112
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 24 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 125 | |
| 2 | 1979 | 67 | |
| 3 | 1980 | 50 | |
| 4 | 2009 | 47 | |
| 5 | 2007 | 47 | |
| 6 | 2004 | 37 | |
| 7 | 1992 | 35 | |
| 8 | 2012 | 32 | |
| 9 | 1981 | 28 | |
| 10 | 2010 | 24 | |
| 11 | 2012 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 1986 | 17 | |
| 14 | 1969 | 16 | |
| 15 | 1989 | 15 | |
| 16 | 1989 | 13 | |
| 17 | 2009 | 12 | |
| 18 | 1980 | 10 | |
| 19 | 1971 | 10 | |
| 20 | 2009 | 10 |
About Sin Hang Lee
Sin Hang Lee is a scholar working on Epidemiology, Genetics, Parasitology, Infectious Diseases and Microbiology, having authored 42 papers that have together received 729 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (14 papers), Estrogen and related hormone effects (8 papers), Molecular Biology Techniques and Applications (5 papers), Vector-borne infectious diseases (5 papers), Viral Infections and Vectors (4 papers), Hepatitis B Virus Studies (4 papers), Vascular Anomalies and Treatments (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Parasitology (55 citations), Genetics (215 citations), Epidemiology (174 citations), Cancer Research (65 citations) and Oncology (112 citations). Sin Hang Lee has collaborated with scholars based in United States, Pakistan and Canada. Frequent co-authors include John T. Schmidt, Hassan Aleyassine, Ronald B. Ponn, John Shearer Lambert, Vicente J. Caride, Donald R. Mayo, R.A. Black, Israel Wiznitzer, Gordana Avramovic and William E. Allen. Their work appears in journals such as American Journal of Clinical Pathology, Cancer, Obstetrics and Gynecology, BMC Clinical Pathology and The Journal of Cell Biology.
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.