Lianping Ti
Impact in
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Epidemiology 46
- HIV, Drug Use, Sexual Risk 44
-
- Opioid Use Disorder Treatment 34
- Co-authors
- Evan Wood (60 shared papers)Thomas Kerr (52 shared papers)Kanna Hayashi (48 shared papers)Samuel Tobias (22 shared papers)Jane A. Buxton (14 shared papers)Mark Lysyshyn (18 shared papers)Paisan Suwannawong (23 shared papers)M‐J Milloy (26 shared papers)
- Journals
- International Journal of Drug Policy (16 papers)Drug and Alcohol Review (12 papers)Drug and Alcohol Dependence (8 papers)Substance Abuse Treatment Prevention and Policy (7 papers)Harm Reduction Journal (6 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Lianping Ti
125 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Toxicology 215
- Hepatology 191
- Epidemiology 768
- Public Health, Environmental and Occupational Health 523
- Anesthesiology and Pain Medicine 59
Countries citing papers authored by Lianping Ti
This map shows the geographic impact of Lianping Ti'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 Lianping Ti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianping Ti more than expected).
Fields of papers citing papers by Lianping Ti
This network shows the impact of papers produced by Lianping Ti. 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 Lianping Ti. The network helps show where Lianping Ti may publish in the future.
Co-authors
The 25 scholars most cited alongside Lianping Ti, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 171 | |
| 2 | 2021 | 92 | |
| 3 | 2012 | 85 | |
| 4 | 2019 | 73 | |
| 5 | 2015 | 64 | |
| 6 | 2019 | 57 | |
| 7 | 2020 | 57 | |
| 8 | 2019 | 53 | |
| 9 | 2015 | 49 | |
| 10 | 2019 | 48 | |
| 11 | 2020 | 45 | |
| 12 | 2015 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2013 | 34 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2012 | 28 | |
| 18 | 2015 | 27 | |
| 19 | 2020 | 27 | |
| 20 | 2023 | 25 |
About Lianping Ti
Lianping Ti is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Hepatology, Toxicology and Infectious Diseases, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (44 papers), Opioid Use Disorder Treatment (34 papers), Hepatitis C virus research (19 papers), Forensic Toxicology and Drug Analysis (13 papers), HIV/AIDS Research and Interventions (11 papers), Pain Management and Opioid Use (7 papers), Sex work and related issues (5 papers) and Homelessness and Social Issues (4 papers). The work is most often cited by research in Toxicology (215 citations), Hepatology (191 citations), Epidemiology (768 citations), Public Health, Environmental and Occupational Health (523 citations) and Anesthesiology and Pain Medicine (59 citations). Lianping Ti has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Evan Wood, Thomas Kerr, Kanna Hayashi, Samuel Tobias, Jane A. Buxton, Mark Lysyshyn, Paisan Suwannawong, M‐J Milloy, Karyn Kaplan and Julio Montaner. Their work appears in journals such as International Journal of Drug Policy, Drug and Alcohol Review, Drug and Alcohol Dependence, Substance Abuse Treatment Prevention and Policy and Harm Reduction Journal.
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.