Eng Lee Tan

1.2k citations
30 papers · 912 · h-index 17

Impact in

Papers in

Eng Lee Tan

30 papers receiving 892 citations

Peers

Eng Lee Tan
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 536
  • Infectious Diseases 315
  • Agronomy and Crop Science 155
  • Microbiology 83
  • Endocrinology 34
Replace Jin-Yong Noh with:
Jin-Yong Noh South Korea
Chengsong Wan China
Chun‐Nan Lee Taiwan
Devon Kavanaugh United Kingdom
Kevin Chiem United States
Rahul Singh India
Kathy Smith United States
M. Rafiul Islam Bangladesh
Francisco Brito Switzerland
Bernard Besse France
Eng Lee Tan relative to Jin-Yong Noh South Korea Jin-Yong Noh's profile →
Citations per field
00.5×12.2×
Jin-Yong Noh · 1×
Citations per year

Countries citing papers authored by Eng Lee Tan

Since Specialization
Citations

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

Fields of papers citing papers by Eng Lee Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eng Lee Tan. 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 Eng Lee Tan. The network helps show where Eng Lee Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011134
2 1988112
3 201197
4 201865
5 200850
6 201244
7 200743
8 201641
9 200837
10 201430
11 200627
12 201127
13 200724
14 201420
15 201420
16 201019
17 201619
18 201916
19 201315
20 201311

About Eng Lee Tan

Eng Lee Tan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Agronomy and Crop Science, Infectious Diseases and Epidemiology, having authored 30 papers that have together received 912 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (18 papers), Animal Disease Management and Epidemiology (9 papers), Viral gastroenteritis research and epidemiology (7 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Antibiotic Resistance in Bacteria (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (536 citations), Infectious Diseases (315 citations), Agronomy and Crop Science (155 citations), Microbiology (83 citations) and Endocrinology (34 citations). Eng Lee Tan has collaborated with scholars based in Singapore, Australia and Malaysia. Frequent co-authors include Chit Laa Poh, Vincent Chow, Sylvie Alonso, Wei Xin Khong, Justin Jang Hann Chu, Scott Trasti, Damian Guang Wei Foo, Jowin K. W. Ng, Benedict Yan and Theresa May Chin Tan. Their work appears in journals such as PLoS ONE, Journal of Proteomics, Journal of Virology, Diagnostic Microbiology and Infectious Disease and Biochemical and Biophysical Research Communications.

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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