Manuel Cano

76 papers receiving 1.1k citations

Peers

Manuel Cano
Comparison fields: 5 of 100
  • Toxicology 42
  • Epidemiology 293
  • Public Health, Environmental and Occupational Health 216
  • Parasitology 51
  • Infectious Diseases 132
Replace Margareta Eriksson with:
Margareta Eriksson Sweden
Georgine Burke United States
Maria Elena Guariento Brazil
R P Brettle United Kingdom
Jennifer A. Mitty United States
Jacob Puliyel India
Christina Poethko‐Müller Germany
Robert E. Harris United States
L Naggan Israel
Robert Deiss United States
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Citations per field
00.5×10×13.5×
Margareta Eriksson · 1×
Citations per year

Countries citing papers authored by Manuel Cano

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001160
2 202068
3 202050
4 202447
5 201042
6 202141
7 201438
8 202035
9 201334
10 202130
11 202030
12 202125
13 200723
14 198822
15 202221
16 201917
17 202017
18 202217
19 200816
20 202216

About Manuel Cano

Manuel Cano is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Epidemiology, Cardiology and Cardiovascular Medicine and Clinical Psychology, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (19 papers), Coronary Interventions and Diagnostics (17 papers), Cardiac Valve Diseases and Treatments (6 papers), Migration, Health and Trauma (6 papers), Prenatal Substance Exposure Effects (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Social Work Education and Practice (4 papers) and Cardiac Arrhythmias and Treatments (4 papers). The work is most often cited by research in Toxicology (42 citations), Epidemiology (293 citations), Public Health, Environmental and Occupational Health (216 citations), Parasitology (51 citations) and Infectious Diseases (132 citations). Manuel Cano has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Sehun Oh, Michael G. Vaughn, Camila Gelpí-Acosta, Christopher P. Salas‐Wright, Raminta Daniulaityte, Flavio F. Marsiglia, Ying Huang, J. Ribamar Costa, Galo Maldonado and Christopher P. Salas‐Wright. Their work appears in journals such as Drug and Alcohol Dependence, Substance Use & Misuse, Social Psychiatry and Psychiatric Epidemiology, International Journal of Drug Policy 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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