Lisa Tee

1.4k citations
49 papers · 1.2k · 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

48 papers receiving 1.1k citations

Peers

Lisa Tee
Comparison fields: 5 of 112
  • Hepatology 173
  • Pharmacology 186
  • Developmental Neuroscience 80
  • Ophthalmology 76
  • Cellular and Molecular Neuroscience 164
Replace Jayasree Basivireddy with:
Jayasree Basivireddy India
Yang Dai United States
Guocai Lu China
Lixia Tang China
Chunyan Sun China
Pornpun Vivithanaporn Thailand
Lucrecia Moreno Spain
Huijun Liu China
Xia Liu China
Lisa Tee relative to Jayasree Basivireddy India Jayasree Basivireddy's profile →
Citations per field
00.5×10×20×25.3×
Jayasree Basivireddy · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990167
2 201388
3 198776
4 199653
5 199452
6 199250
7 199649
8 200649
9 201548
10 198643
11 201442
12 200939
13 200437
14 200432
15 199230
16 200330
17 199725
18 200024
19 199221
20 201620

About Lisa Tee

Lisa Tee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Oncology and Surgery, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Development and Disorders (9 papers), Axon Guidance and Neuronal Signaling (6 papers), Breastfeeding Practices and Influences (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Nerve injury and regeneration (4 papers) and Glutathione Transferases and Polymorphisms (4 papers). The work is most often cited by research in Hepatology (173 citations), Pharmacology (186 citations), Developmental Neuroscience (80 citations), Ophthalmology (76 citations) and Cellular and Molecular Neuroscience (164 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, Sarah A. Dunlop, Kenneth F. Ilett, Rodney F. Minchin, Philip T. Reeves, L.D. Beazley, Alan R. Boobis and Donald S. Davies. Their work appears in journals such as The Journal of Comparative Neurology, Carcinogenesis, BMC Complementary and Alternative Medicine, Investigative Ophthalmology & Visual Science and International Journal of Environmental Research and Public Health.

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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