Roberto Muga

152 papers receiving 2.6k citations

Roberto Muga's Hit Papers

Association of Opioid Agonist Treatment With All-Cause Mortality and Specific Causes of Death Among People With Opioid Dependence 2021 · 414 citations
4140+1+3Years since publication100200300400

Peers

Roberto Muga
Comparison fields: 5 of 73
  • Hepatology 339
  • Virology 130
  • Infectious Diseases 394
  • Toxicology 61
  • Public Health, Environmental and Occupational Health 398
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Roy Robertson United Kingdom
Maxime Hentzien France
Alex Lund Laursen Denmark
Edward M. Gardner United States
Carla Truyers Belgium
Markus Knuf Germany
Lara Bull–Otterson United States
Anna Lisa Ridolfo Italy
Brygida Knysz Poland
Pablo Barreiro Spain
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Citations per year

Countries citing papers authored by Roberto Muga

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Muga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Muga. 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 Roberto Muga. The network helps show where Roberto Muga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association of Opioid Agonist Treatment With All-Cause Mortality and Specific Causes of Death Among People With Opioid Dependence
Hit paper breakdown →
2021414
2 1990113
3 201290
4 200387
5 200879
6 201279
7 201865
8 200155
9 201149
10 200444
11 201744
12 200643
13 201341
14 202040
15 200438
16 200737
17 200836
18 201636
19 200534
20 201733

About Roberto Muga

Roberto Muga is a scholar working on Infectious Diseases, Hepatology, Epidemiology, Virology and Pathology and Forensic Medicine, having authored 162 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), HIV/AIDS Research and Interventions (18 papers), Substance Abuse Treatment and Outcomes (12 papers), Alcohol Consumption and Health Effects (12 papers), HIV/AIDS drug development and treatment (9 papers), HIV Research and Treatment (8 papers), HIV, Drug Use, Sexual Risk (7 papers) and Opioid Use Disorder Treatment (6 papers). The work is most often cited by research in Hepatology (339 citations), Virology (130 citations), Infectious Diseases (394 citations), Toxicology (61 citations) and Public Health, Environmental and Occupational Health (398 citations). Roberto Muga has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Jordi Tor, Arantza Sanvisens, Daniel Fuster, Ferrán Bolao, Marta Torrens, Santiago Pérez‐Hoyos, Celestino Rey‐Joly, Ildefonso Hernández‐Aguado, Julia del Amo and Magı́ Farré. Their work appears in journals such as Drug and Alcohol Dependence, AIDS, Clinical Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes and Journal of Antimicrobial Chemotherapy.

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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