Lian Tan

771 citations
16 papers · 535 · h-index 8

Impact in

Papers in

Lian Tan

15 papers receiving 505 citations

Peers

Lian Tan
Comparison fields: 5 of 72
  • Infectious Diseases 291
  • Public Health, Environmental and Occupational Health 404
  • Modeling and Simulation 40
  • Hematology 73
  • Business and International Management 8
Replace Laurence Dupuis-Maguiraga with:
Laurence Dupuis-Maguiraga France
Emmanuelle Rachou France
B Helynck France
Vaea Richard French Polynesia
Oswaldo G. Cruz Brazil
Andrea Mattivi Italy
Sory Ibrahim Diawara Mali
Frederico Dimatatac Singapore
Florence Carpentier France
Nanikaly Moyen France
Lian Tan relative to Laurence Dupuis-Maguiraga France Laurence Dupuis-Maguiraga's profile →
Citations per field
00.5×1.5×2.4×
Laurence Dupuis-Maguiraga · 1×
Citations per year

Countries citing papers authored by Lian Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lian Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009272
2 201252
3 201952
4 200850
5 201040
6 200724
7 202112
8 201510
9 20166
10 20154
11 20074
12 20213
13 20033
14 20162
15 20231
16 20230

About Lian Tan

Lian Tan is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Ophthalmology and Molecular Biology, having authored 16 papers that have together received 535 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Malaria Research and Control (3 papers), Retinal Diseases and Treatments (3 papers), Glaucoma and retinal disorders (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Global Maternal and Child Health (2 papers), Fungal Infections and Studies (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Infectious Diseases (291 citations), Public Health, Environmental and Occupational Health (404 citations), Modeling and Simulation (40 citations), Hematology (73 citations) and Business and International Management (8 citations). Lian Tan has collaborated with scholars based in Malaysia, China and Australia. Frequent co-authors include Lucy Chai See Lum, Jose A. Suaya, Donald S. Shepard, Binod Sah, Romeo Montoya, Mariana Caram, Leticia Castillo, Celina Maria Turchi Martelli, Sukhontha Kongsin and Scott B. Halstead. Their work appears in journals such as Journal of Clinical Virology, American Journal of Tropical Medicine and Hygiene, BMC Ophthalmology, Pacing and Clinical Electrophysiology and Mycopathologia.

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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