Mark Chu
Impact in
- Toxicology top 0.2%
- Forensic Toxicology and Drug Analysis
- Pharmacology top 2%
- Cannabis and Cannabinoid Research
Papers in
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- Forensic Toxicology and Drug Analysis 7
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- Cannabis and Cannabinoid Research 6
- Co-authors
- Olaf H. Drummer (7 shared papers)Philip Swann (3 shared papers)John R. M. Caplehorn (2 shared papers)Michael D. Robertson (2 shared papers)Dimitri Gerostamoulos (6 shared papers)Martin Boorman (2 shared papers)Luke N. Rodda (2 shared papers)Dan I. Lubman (1 shared paper)
In The Last Decade
Mark Chu
16 papers receiving 852 citations
Peers
Comparison fields: 5 of 94
- Toxicology 506
- Pharmacology 377
- Safety, Risk, Reliability and Quality 133
- Pathology and Forensic Medicine 157
- Physical Therapy, Sports Therapy and Rehabilitation 25
Countries citing papers authored by Mark Chu
This map shows the geographic impact of Mark Chu'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 Mark Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chu more than expected).
Fields of papers citing papers by Mark Chu
This network shows the impact of papers produced by Mark Chu. 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 Mark Chu. The network helps show where Mark Chu may publish in the future.
Co-authors
The 23 scholars most cited alongside Mark Chu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 413 | |
| 2 | 2003 | 222 | |
| 3 | 2007 | 109 | |
| 4 | 2015 | 56 | |
| 5 | 2011 | 49 | |
| 6 | 2002 | 39 | |
| 7 | 2016 | 28 | |
| 8 | 2020 | 16 | |
| 9 | 1996 | 7 | |
| 10 | 2014 | 3 | |
| 11 | 1998 | 2 | |
| 12 | 2000 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2019 | 1 | |
| 15 | Giallo sarai tu! Hegemonic representations and limits of heteroglossia in Carlo Lucarelli | 2016 | 1 |
| 16 | 1996 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2000 | 1 | |
| 19 | 2000 | 0 | |
| 20 | 1992 | 0 |
About Mark Chu
Mark Chu is a scholar working on Toxicology, Pharmacology, Sociology and Political Science, Pathology and Forensic Medicine and Artificial Intelligence, having authored 21 papers that have together received 953 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (7 papers), Cannabis and Cannabinoid Research (6 papers), Italian Fascism and Post-war Society (5 papers), Alcohol Consumption and Health Effects (4 papers), Linguistic Studies and Language Acquisition (2 papers), Historical Economic and Social Studies (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Political theory and Gramsci (1 paper). The work is most often cited by research in Toxicology (506 citations), Pharmacology (377 citations), Safety, Risk, Reliability and Quality (133 citations), Pathology and Forensic Medicine (157 citations) and Physical Therapy, Sports Therapy and Rehabilitation (25 citations). Mark Chu has collaborated with scholars based in Australia, Ireland and France. Frequent co-authors include Olaf H. Drummer, Philip Swann, John R. M. Caplehorn, Michael D. Robertson, Dimitri Gerostamoulos, Martin Boorman, Luke N. Rodda, Dan I. Lubman, Morris Odell and Jochen Beyer. Their work appears in journals such as Italian Studies, Forensic Science International, Journal of Analytical Toxicology, Modern Italy and Accident Analysis & Prevention.
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.