ML Tse
Impact in
- Pharmacology top 2%
- Treatment of Major Depression
- Drug-Induced Hepatotoxicity and Protection
- Plant-based Medicinal Research
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Pharmacology 23
- Plant-based Medicinal Research 19
- Drug-Induced Hepatotoxicity and Protection 7
- Healthcare and Venom Research 4
- Treatment of Major Depression 3
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- Poisoning and overdose treatments 20
- Co-authors
- Fei Lung Lau (6 shared papers)H.W. Ng (1 shared paper)Wing Tat Poon (3 shared papers)Vincent K S Leung (2 shared papers)Tony W.L. Mak (4 shared papers)Tai Nin Chau (2 shared papers)Kin‐Man Lam (1 shared paper)Jieru E. Lin (1 shared paper)
In The Last Decade
ML Tse
62 papers receiving 783 citations
Peers
Comparison fields: 5 of 102
- Pharmacology 204
- Biological Psychiatry 53
- Emergency Medicine 161
- Toxicology 56
- Pharmacology 199
Countries citing papers authored by ML Tse
This map shows the geographic impact of ML Tse'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 ML Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ML Tse more than expected).
Fields of papers citing papers by ML Tse
This network shows the impact of papers produced by ML Tse. 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 ML Tse. The network helps show where ML Tse may publish in the future.
Co-authors
The 25 scholars most cited alongside ML Tse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 'Street ketamine'-associated bladder dysfunction: a report of ten cases. | 2007 | 109 |
| 2 | Emergency department presentation of ketamine abusers in Hong Kong: a review of 233 cases. | 2010 | 92 |
| 3 | 2009 | 85 | |
| 4 | 2012 | 48 | |
| 5 | 2011 | 41 | |
| 6 | 2009 | 36 | |
| 7 | 2016 | 29 | |
| 8 | 2010 | 29 | |
| 9 | 2008 | 26 | |
| 10 | 2007 | 25 | |
| 11 | 2015 | 22 | |
| 12 | 2005 | 18 | |
| 13 | Outbreak of hypoglycaemia: sexual enhancement products containing oral hypoglycaemic agent. | 2009 | 17 |
| 14 | 2009 | 15 | |
| 15 | 2009 | 14 | |
| 16 | 2010 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 10 |
About ML Tse
ML Tse is a scholar working on Pharmacology, Emergency Medicine, Molecular Biology, Pharmacology and Genetics, having authored 70 papers that have together received 853 indexed citations. Recurring topics across this work include Poisoning and overdose treatments (20 papers), Plant-based Medicinal Research (19 papers), Bioactive Natural Diterpenoids Research (10 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Venomous Animal Envenomation and Studies (6 papers), Forensic Toxicology and Drug Analysis (4 papers), Healthcare and Venom Research (4 papers) and Treatment of Major Depression (3 papers). The work is most often cited by research in Pharmacology (204 citations), Biological Psychiatry (53 citations), Emergency Medicine (161 citations), Toxicology (56 citations) and Pharmacology (199 citations). ML Tse has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Fei Lung Lau, H.W. Ng, Wing Tat Poon, Vincent K S Leung, Tony W.L. Mak, Tai Nin Chau, Kin‐Man Lam, Jieru E. Lin, Indika Gawarammana and Michael Eddleston. Their work appears in journals such as Clinical Toxicology, Canadian Journal of Emergency Medicine, Toxicon, CNS Drugs and Human & Experimental Toxicology.
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.