M C del Río

47 papers receiving 563 citations

Peers

M C del Río
Comparison fields: 5 of 95
  • Toxicology 89
  • Pathology and Forensic Medicine 96
  • Safety, Risk, Reliability and Quality 50
  • Epidemiology 163
  • Pediatrics, Perinatology and Child Health 67
Replace Zev W. Chayes with:
Zev W. Chayes United States
Clive Cooke Australia
Rossella Snenghi Italy
Daniel J. Galanis United States
Yôko Nakayama Japan
Michelle Moretti United States
Clara Schaefer United States
Vasant Dhopesh United States
Pascal Caillet France
Frank Rouby France
M C del Río relative to Zev W. Chayes United States Zev W. Chayes's profile →
Citations per field
00.5×10×12.5×
Zev W. Chayes · 1×
Citations per year

Countries citing papers authored by M C del Río

Since Specialization
Citations

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

Fields of papers citing papers by M C del Río

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M C del Río. 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 C del Río. The network helps show where M C del Río may publish in the future.

Co-authors

The 20 scholars most cited alongside M C del Río, 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 C del Río Line = papers co-authored together M C del Río links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995104
2 201441
3 200038
4 200729
5 199325
6 199424
7 199424
8 199924
9 200119
10 199717
11 199417
12
ILLEGAL DRUGS AND DRIVING
199515
13 199515
14 200614
15 200213
16 200112
17 200212
18 198910
19 199310
20 20029

About M C del Río

M C del Río is a scholar working on Epidemiology, Pathology and Forensic Medicine, Toxicology, Oncology and Physiology, having authored 48 papers that have together received 606 indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (21 papers), Alcohol Consumption and Health Effects (14 papers), Forensic Toxicology and Drug Analysis (13 papers), Smoking Behavior and Cessation (6 papers), Older Adults Driving Studies (3 papers), Cannabis and Cannabinoid Research (3 papers), HER2/EGFR in Cancer Research (3 papers) and Sleep and Work-Related Fatigue (3 papers). The work is most often cited by research in Toxicology (89 citations), Pathology and Forensic Medicine (96 citations), Safety, Risk, Reliability and Quality (50 citations), Epidemiology (163 citations) and Pediatrics, Perinatology and Child Health (67 citations). M C del Río has collaborated with scholars based in Spain and United States. Frequent co-authors include E. Alvarez, Inmaculada Fierro, S. Lojo, Manuel Castro‐Gago, Miren Bravo, Carlos Fernando Prada Quiroga, José Ignacio Arias, Primitiva Menéndez, Álvaro Ruibal and Pablo Aguiar. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Alcoholism Clinical and Experimental Research, The International Journal of Biological Markers, Drug and Alcohol Dependence and Trends in Pharmacological Sciences.

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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