María J. Bravo

3.8k citations
77 papers · 2.9k indexed · 1 hit paper · h-index 25

María J. Bravo

75 papers receiving 2.8k citations

Hit Papers

Mortality risk during and after opioid substitution treat...1.3k20172026202020234008001.2k

Peers

María J. Bravo
Comparison fields: 5 of 123
  • Toxicology 364
  • Public Health, Environmental and Occupational Health 1.8k
  • Epidemiology 1.9k
  • Anesthesiology and Pain Medicine 219
  • Pediatrics, Perinatology and Child Health 496
Replace Luis Sordo with:
Luis Sordo Spain
Robin A. Pollini United States
Michele K. Bohm United States
Huiru Dong Canada
M. Teresa Brugal Spain
Stephen Koester United States
Joshua A. Barocas United States
Michael Fingerhood United States
Nina Shah United States
Perrine Roux France
María J. Bravo relative to Luis Sordo Spain Luis Sordo's profile →
Citations per field
00.5×1.5×1.8×
Luis Sordo · 1×
Citations per year

Countries citing papers authored by María J. Bravo

Since Specialization
Citations

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

Fields of papers citing papers by María J. Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Bravo. 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 María J. Bravo. The network helps show where María J. Bravo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 20157
3 201481
4 201327
5 201328
6 201219
7 20122
8 201213
9 201142
10 20109
11 201018
12 20106
13 200914
14 20094
15 200956
16 200814
17 200711
18 200639
19 199916
20 199410

About María J. Bravo

María J. Bravo is a scholar working on Toxicology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (45 papers), Opioid Use Disorder Treatment (29 papers), Substance Abuse Treatment and Outcomes (25 papers), HIV/AIDS Research and Interventions (17 papers), Forensic Toxicology and Drug Analysis (17 papers), Cannabis and Cannabinoid Research (6 papers), Alcohol Consumption and Health Effects (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Toxicology (364 citations), Public Health, Environmental and Occupational Health (1.8k citations) and Epidemiology (1.9k citations). María J. Bravo has collaborated with scholars based in Spain, Australia and Portugal. Frequent co-authors include Gregorio Barrio, Luis Sordo, Luís de la Fuente, Blanca Iciar Indave, Louisa Degenhardt, Roberto Pastor‐Barriuso, Lucas Wiessing, Marica Ferri, M. Teresa Brugal and Luis Royuela. Their work appears in journals such as PLoS ONE, Neurology and Clinical Infectious Diseases.

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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