Lisa Tee

1.4k citations
48 papers · 1.1k · h-index 20

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection

Papers in

Lisa Tee

47 papers receiving 1.0k citations

Peers

Lisa Tee
Comparison fields: 5 of 110
  • Hepatology 166
  • Pharmacology 179
  • Developmental Neuroscience 67
  • Ophthalmology 79
  • Geriatrics and Gerontology 32
Replace Pornpun Vivithanaporn with:
Pornpun Vivithanaporn Thailand
Shan Wang China
Yang Dai United States
Alireza Saadat Iran
Maria Słomka Poland
Lixia Tang China
Eli̇f Oğuz Türkiye
Huijun Liu China
J.F. Horga Spain
Seong Ho Yoo South Korea
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Citations per field
00.5×9.9×
Pornpun Vivithanaporn · 1×
Citations per year

Countries citing papers authored by Lisa Tee

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Tee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990152
2 201384
3 198773
4 199452
5 199249
6 201546
7 199646
8 200643
9 201442
10 198642
11 199640
12 200433
13 200933
14 199228
15 200327
16 200426
17 199725
18 199221
19 200021
20 201620

About Lisa Tee

Lisa Tee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Oncology and Surgery, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (11 papers), Breastfeeding Practices and Influences (7 papers), Axon Guidance and Neuronal Signaling (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Nerve injury and regeneration (4 papers), Glutathione Transferases and Polymorphisms (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Hepatology (166 citations), Pharmacology (179 citations), Developmental Neuroscience (67 citations), Ophthalmology (79 citations) and Geriatrics and Gerontology (32 citations). Lisa Tee has collaborated with scholars based in Australia, United Kingdom and Malaysia. Frequent co-authors include George C. Yeoh, Laetitia Hattingh, Tin Fei Sim, Kenneth F. Ilett, Rodney F. Minchin, Sarah A. Dunlop, L.D. Beazley, Alan R. Boobis, Wenhua Huang and Yaowanuj Kirilak. Their work appears in journals such as The Journal of Comparative Neurology, Carcinogenesis, International Journal of Environmental Research and Public Health, BMC Complementary and Alternative Medicine and Investigative Ophthalmology & Visual Science.

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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