Sin Hang Lee

855 citations
38 papers · 675 · h-index 14

Impact in

  • Parasitology top 10%
    • Vector-borne infectious diseases
  • Genetics top 10%
    • Estrogen and related hormone effects

Papers in

    • Cervical Cancer and HPV Research 12
    • Hepatitis B Virus Studies 5
    • Estrogen and related hormone effects 8

Sin Hang Lee

35 papers receiving 564 citations

Peers

Sin Hang Lee
Comparison fields: 5 of 86
  • Parasitology 53
  • Genetics 207
  • Epidemiology 155
  • Cancer Research 61
  • Oncology 103
Replace Theresa Pasqualini with:
Theresa Pasqualini United States
Yi‐chi M. Kong United States
M K Sardana United States
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R P Custer United States
Seiji Arihiro Japan
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Citations per field
00.5×2.8×
Theresa Pasqualini · 1×
Citations per year

Countries citing papers authored by Sin Hang Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Sin Hang Lee Line = papers co-authored together Sin Hang Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978114
2 197965
3 198049
4 200946
5 200745
6 199234
7 200433
8 201231
9 198126
10 201024
11 201218
12 201916
13 198914
14 198614
15 196913
16 200912
17 198912
18 200910
19 197110
20 198010

About Sin Hang Lee

Sin Hang Lee is a scholar working on Epidemiology, Genetics, Molecular Biology, Physiology and Infectious Diseases, having authored 38 papers that have together received 675 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 (5 papers), Vector-borne infectious diseases (4 papers), Molecular Biology Techniques and Applications (4 papers), Viral Infections and Vectors (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Parasitology (53 citations), Genetics (207 citations), Epidemiology (155 citations), Cancer Research (61 citations) and Oncology (103 citations). Sin Hang Lee has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include John T. Schmidt, John S. Lambert, Vicente J. Caride, Ronald B. Ponn, H Aleyassine, Pincas Bitterman, Gordana Avramovic, R.A. Black, Chris Benz and Aurelio Ariza. Their work appears in journals such as American Journal of Clinical Pathology, Cancer, PLoS ONE, International Journal of Gynecology & Obstetrics and Cytometry.

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.

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