Lien Tat

436 citations
13 papers · 314 · h-index 7

Impact in

Papers in

Lien Tat

12 papers receiving 306 citations

Peers

Lien Tat
Comparison fields: 5 of 53
  • Radiology, Nuclear Medicine and Imaging 262
  • Ophthalmology 89
  • Public Health, Environmental and Occupational Health 138
  • Genetics 28
  • Dermatology 16
Replace Ignazio Alberto Zucca with:
Ignazio Alberto Zucca Italy
D. T. H. Tan Singapore
Saumya Jakati India
Ning‐Yi Hsia Taiwan
Paul R. Austin United States
Vijay Savant United Kingdom
E Volpe United States
Yvonne de Jong‐Hesse Netherlands
A Knapp United States
Monika Pradhan New Zealand
Lien Tat relative to Ignazio Alberto Zucca Italy Ignazio Alberto Zucca's profile →
Citations per field
00.5×5.3×
Ignazio Alberto Zucca · 1×
Citations per year

Countries citing papers authored by Lien Tat

Since Specialization
Citations

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

Fields of papers citing papers by Lien Tat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Lien Tat, 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 Lien Tat Line = papers co-authored together Lien Tat links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011214
2 201820
3 201517
4 201517
5 201516
6 20108
7 20207
8 20205
9 20185
10 20233
11
Prospective study of the ocular manifestations in Epidermolysis Bullosa and Autoimmune Blistering Diseases identifies Dry Eye Disease
20191
12
Ophthalmic Pterygia: A Stem Cell Disorder With Pre-Malignant Features
20111
13 20240

About Lien Tat

Lien Tat is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Ophthalmology, Genetics and Pathology and Forensic Medicine, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (9 papers), Ocular Surface and Contact Lens (7 papers), Corneal surgery and disorders (4 papers), Ocular Oncology and Treatments (4 papers), Ocular Disorders and Treatments (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Mast cells and histamine (1 paper) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (262 citations), Ophthalmology (89 citations), Public Health, Environmental and Occupational Health (138 citations), Genetics (28 citations) and Dermatology (16 citations). Lien Tat has collaborated with scholars based in Australia, United States and Bulgaria. Frequent co-authors include Minas T. Coroneo, Jeanie Chui, Denis Wakefield, Nick Di Girolamo, Roger Crouch, Jeremy Tan, Matthew H. Ip, Uté Vollmer‐Conna, Dédée F. Murrell and Nagi Assaad. Their work appears in journals such as Cornea, The Ocular Surface, Ophthalmology, British Journal of Ophthalmology and American Journal Of Pathology.

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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