Ing‐Kit Lee

29 papers receiving 735 citations

Peers

Ing‐Kit Lee
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 434
  • Endocrinology 83
  • Infectious Diseases 262
  • Molecular Medicine 24
  • Modeling and Simulation 20
Replace Hà Mạnh Tuấn with:
Hà Mạnh Tuấn Vietnam
Jien-Wei Liu Taiwan
Mazyar Ziyaeyan Iran
Thein Myint United States
Susan I. Gerber United States
Marzieh Jamalidoust Iran
Ben Amos United Kingdom
Sibel Aşçıoğlu Türkiye
Michele Spinicci Italy
Getachew Ferede Ethiopia
Ing‐Kit Lee relative to Hà Mạnh Tuấn Vietnam Hà Mạnh Tuấn's profile →
Citations per field
00.5×4.9×
Hà Mạnh Tuấn · 1×
Citations per year

Countries citing papers authored by Ing‐Kit Lee

Since Specialization
Citations

This map shows the geographic impact of Ing‐Kit 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 Ing‐Kit Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ing‐Kit Lee more than expected).

Fields of papers citing papers by Ing‐Kit Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ing‐Kit 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 Ing‐Kit Lee. The network helps show where Ing‐Kit Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Ing‐Kit 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 Ing‐Kit Lee Line = papers co-authored together Ing‐Kit Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008111
2 2010109
3 2005109
4 200687
5 200962
6 200650
7
Clinical characteristics and risk factors for mortality in Morganella morganii bacteremia.
200645
8 201443
9 201638
10 201325
11 201213
12 201813
13 202213
14 20177
15 20227
16 20237
17 20214
18 20254
19 20194
20 20244

About Ing‐Kit Lee

Ing‐Kit Lee is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Sociology and Political Science and Endocrinology, having authored 32 papers that have together received 772 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (14 papers), Viral Infections and Vectors (9 papers), Dengue and Mosquito Control Research (3 papers), Malaria Research and Control (3 papers), Influenza Virus Research Studies (3 papers), Vibrio bacteria research studies (2 papers), Respiratory viral infections research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (434 citations), Endocrinology (83 citations), Infectious Diseases (262 citations), Molecular Medicine (24 citations) and Modeling and Simulation (20 citations). Ing‐Kit Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Jien-Wei Liu, Kuender D. Yang, Jien-Wei Liu, Chung‐Hao Huang, Yen‐Hsu Chen, Chun‐Yu Lin, Hung-Jen Tang, Wen‐Chien Ko, Huey‐Ling You and Yin-Ching Chuang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, American Journal of Tropical Medicine and Hygiene, PLoS ONE, Travel Medicine and Infectious Disease and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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