Michael-John Milloy

447 total citations
8 papers, 159 citations indexed

About

Michael-John Milloy is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michael-John Milloy has authored 8 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michael-John Milloy's work include HIV, Drug Use, Sexual Risk (7 papers), HIV/AIDS Research and Interventions (4 papers) and Opioid Use Disorder Treatment (4 papers). Michael-John Milloy is often cited by papers focused on HIV, Drug Use, Sexual Risk (7 papers), HIV/AIDS Research and Interventions (4 papers) and Opioid Use Disorder Treatment (4 papers). Michael-John Milloy collaborates with scholars based in Canada, United States and France. Michael-John Milloy's co-authors include Julio Montaner, Evan Wood, Huiru Dong, Kanna Hayashi, Thomas Kerr, Surita Parashar, Alexandra B. Collins, Robert S. Hogg, Anna Hayden and Brandon D. L. Marshall and has published in prestigious journals such as American Journal of Epidemiology, BMC Public Health and Drug and Alcohol Dependence.

In The Last Decade

Michael-John Milloy

8 papers receiving 156 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael-John Milloy Canada 7 135 94 46 27 25 8 159
Julien Emmanuelli France 8 307 2.3× 98 1.0× 131 2.8× 15 0.6× 24 1.0× 18 356
James Ndimbii United States 10 194 1.4× 147 1.6× 51 1.1× 16 0.6× 52 2.1× 19 237
Benjamin Enns Canada 9 204 1.5× 173 1.8× 77 1.7× 28 1.0× 30 1.2× 23 276
Katelyn J Cullen United Kingdom 8 254 1.9× 64 0.7× 56 1.2× 13 0.5× 27 1.1× 13 319
Daniel O’Keefe Australia 11 202 1.5× 84 0.9× 91 2.0× 5 0.2× 22 0.9× 36 262
Patricia González‐Zúñiga United States 10 250 1.9× 88 0.9× 160 3.5× 7 0.3× 68 2.7× 28 290
Catherine Quillet France 12 300 2.2× 355 3.8× 49 1.1× 146 5.4× 32 1.3× 34 469
Erika Chapman United States 3 88 0.7× 57 0.6× 60 1.3× 8 0.3× 11 0.4× 4 100
Alice Wheeler Australia 6 207 1.5× 79 0.8× 62 1.3× 7 0.3× 23 0.9× 10 258
Thibaut Davy-Méndez United States 10 79 0.6× 172 1.8× 30 0.7× 91 3.4× 6 0.2× 30 253

Countries citing papers authored by Michael-John Milloy

Since Specialization
Citations

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

Fields of papers citing papers by Michael-John Milloy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael-John Milloy. 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 Michael-John Milloy. The network helps show where Michael-John Milloy may publish in the future.

Co-authorship network of co-authors of Michael-John Milloy

This figure shows the co-authorship network connecting the top 25 collaborators of Michael-John Milloy. A scholar is included among the top collaborators of Michael-John Milloy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael-John Milloy. Michael-John Milloy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lo, Lindsay A., Caroline A. MacCallum, Michael F. Koehn, et al.. (2023). Cannabidiol as a Harm Reduction Strategy for People Who Use Drugs: A Rapid Review. The Canadian Journal of Psychiatry. 68(8). 557–571. 6 indexed citations
2.
Feder, Kenneth A., JinCheol Choi, Kanna Hayashi, et al.. (2022). Factors associated with self-reported avoidance of harm reduction services during the COVID-19 pandemic by people who use drugs in five cities in the United States and Canada. Drug and Alcohol Dependence. 241. 109544–109544. 8 indexed citations
3.
Reddon, Hudson, Kora DeBeck, Stephanie Lake, et al.. (2020). Frequent Cannabis Use Is Negatively Associated with Frequency of Injection Drug Use Among People Who Inject Drugs in a Canadian Setting. Cannabis and Cannabinoid Research. 6(5). 435–445. 7 indexed citations
5.
Parashar, Surita, Alexandra B. Collins, Julio Montaner, Robert S. Hogg, & Michael-John Milloy. (2016). Reducing rates of preventable HIV/AIDS-associated mortality among people living with HIV who inject drugs. Current Opinion in HIV and AIDS. 11(5). 507–513. 29 indexed citations
6.
Hayashi, Kanna, Huiru Dong, Brandon D. L. Marshall, et al.. (2016). Sex-Based Differences in Rates, Causes, and Predictors of Death Among Injection Drug Users in Vancouver, Canada. American Journal of Epidemiology. 183(6). 544–552. 19 indexed citations
7.
Hayden, Anna, Kanna Hayashi, Huiru Dong, et al.. (2014). The impact of drug use patterns on mortality among polysubstance users in a Canadian setting: a prospective cohort study. BMC Public Health. 14(1). 1153–1153. 25 indexed citations
8.
Milloy, Michael-John, Julio Montaner, & Evan Wood. (2012). Barriers to HIV treatment among people who use injection drugs. Current Opinion in HIV and AIDS. 7(4). 332–338. 50 indexed citations

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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