M‐J Milloy

303 papers receiving 6.5k citations

Peers

M‐J Milloy
Comparison fields: 5 of 118
  • Epidemiology 2.7k
  • Infectious Diseases 1.4k
  • Virology 317
  • Toxicology 219
  • Public Health, Environmental and Occupational Health 1.6k
Replace Chinazo O. Cunningham with:
Chinazo O. Cunningham United States
Lucas Wiessing Portugal
Daniel Ciccarone United States
Bradley Mathers Australia
Kanna Hayashi Canada
Bohdan Nosyk Canada
Sarah Larney Australia
Hilary L. Surratt United States
Lynn E. Sullivan United States
Nickolas Zaller United States
M‐J Milloy relative to Chinazo O. Cunningham United States Chinazo O. Cunningham's profile →
Citations per field
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Citations per year

Countries citing papers authored by M‐J Milloy

Since Specialization
Citations

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

Fields of papers citing papers by M‐J Milloy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M‐J 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 M‐J Milloy. The network helps show where M‐J Milloy may publish in the future.

Co-authors

The 25 scholars most cited alongside M‐J Milloy, 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 M‐J Milloy Line = papers co-authored together M‐J Milloy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 311 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011356
2 2016193
3 2019160
4 2011137
5 2010121
6 2012112
7 201199
8 201199
9 201192
10 201290
11 201684
12 201581
13 201780
14 201865
15 201565
16 201564
17 200862
18 201261
19 200860
20 200859

About M‐J Milloy

M‐J Milloy is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Pharmacology and General Health Professions, having authored 311 papers that have together received 6.6k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (124 papers), Opioid Use Disorder Treatment (70 papers), HIV/AIDS Research and Interventions (56 papers), Cannabis and Cannabinoid Research (24 papers), HIV Research and Treatment (18 papers), Homelessness and Social Issues (15 papers), Sex work and related issues (13 papers) and Hepatitis C virus research (10 papers). The work is most often cited by research in Epidemiology (2.7k citations), Infectious Diseases (1.4k citations), Virology (317 citations), Toxicology (219 citations) and Public Health, Environmental and Occupational Health (1.6k citations). M‐J Milloy has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Thomas Kerr, Evan Wood, Julio Montaner, Kanna Hayashi, Huiru Dong, Brandon D. L. Marshall, Kora DeBeck, Ruth Zhang, Ekaterina Nosova and Silvia Guillemi. Their work appears in journals such as Drug and Alcohol Dependence, International Journal of Drug Policy, AIDS and Behavior, Drug and Alcohol Review and Addictive Behaviors.

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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