Ing‐Kit Lee

859 citations
24 papers · 630 · h-index 15

Impact in

Papers in

Ing‐Kit Lee

22 papers receiving 608 citations

Peers

Ing‐Kit Lee
Comparison fields: 5 of 77
  • Infectious Diseases 381
  • Public Health, Environmental and Occupational Health 476
  • Endocrinology 21
  • Nephrology 26
  • Modeling and Simulation 16
Replace Kanchana Tangnararatchakit with:
Kanchana Tangnararatchakit Thailand
Tom Parks United Kingdom
S Nzingoula Republic of the Congo
Benjamin Hanisch United States
Grace Ong United Kingdom
Nicole Harrison Austria
Zahir Osman Eltahir Babiker United Kingdom
Y. Lenglet France
Jerónimo Jaqueti Aroca Spain
Schadrac C. Agbla United Kingdom
Ing‐Kit Lee relative to Kanchana Tangnararatchakit Thailand Kanchana Tangnararatchakit's profile →
Citations per field
00.5×1.5×
Kanchana Tangnararatchakit · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 201282
3 201868
4 201752
5 200542
6 201439
7 201537
8 201236
9 201725
10 201423
11 201219
12 201819
13 200718
14 201318
15 201014
16 201312
17
Dengue Haemorrhagic Fever in Taiwan
200310
18 20209
19 20227
20 20194

About Ing‐Kit Lee

Ing‐Kit Lee is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Surgery and Clinical Psychology, having authored 24 papers that have together received 630 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (14 papers), Viral Infections and Vectors (12 papers), Malaria Research and Control (9 papers), Influenza Virus Research Studies (4 papers), Diverticular Disease and Complications (2 papers), COVID-19 Clinical Research Studies (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Infectious Diseases (381 citations), Public Health, Environmental and Occupational Health (476 citations), Endocrinology (21 citations), Nephrology (26 citations) and Modeling and Simulation (16 citations). Ing‐Kit Lee has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jien-Wei Liu, Kuender D. Yang, Chien‐Te Lee, Lin Wang, Ching‐Yen Tsai, Chih‐Cheng Chen, Chia‐Te Kung, Wen-Chi Huang, Lin Wang and Chen‐Hsiang Lee. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Journal of Microbiology Immunology and Infection, Journal of Clinical Medicine, BioMed Research International and Influenza and Other Respiratory Viruses.

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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