Javier Cortés-Ramírez

567 citations
24 papers · 332 · h-index 8

Impact in

Papers in

Javier Cortés-Ramírez

23 papers receiving 327 citations

Peers

Javier Cortés-Ramírez
Comparison fields: 5 of 92
  • Modeling and Simulation 30
  • Health, Toxicology and Mutagenesis 85
  • Infectious Diseases 95
  • Neurology 45
  • Radiological and Ultrasound Technology 13
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Mathilda Alsen United States
Chaiwat Bumroongkit Thailand
Pattraporn Tajarernmuang Thailand
Mohebat Vali Iran
Lifeng Lin China
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Imran Meo Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Javier Cortés-Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cortés-Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Cortés-Ramírez. 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 Javier Cortés-Ramírez. The network helps show where Javier Cortés-Ramírez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 201862
3 202121
4 202119
5 202212
6 20209
7 20218
8 20227
9 20197
10 20246
11 20246
12 20235
13 20234
14 20244
15 20243
16 20242
17 20252
18 20232
19 20251
20 20261

About Javier Cortés-Ramírez

Javier Cortés-Ramírez is a scholar working on Health, Toxicology and Mutagenesis, Sociology and Political Science, Global and Planetary Change, Epidemiology and Agronomy and Crop Science, having authored 24 papers that have together received 332 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (9 papers), Climate Change and Health Impacts (6 papers), Environmental Justice and Health Disparities (4 papers), Data-Driven Disease Surveillance (3 papers), Mining and Resource Management (3 papers), Fire effects on ecosystems (3 papers), COVID-19 epidemiological studies (3 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Modeling and Simulation (30 citations), Health, Toxicology and Mutagenesis (85 citations), Infectious Diseases (95 citations), Neurology (45 citations) and Radiological and Ultrasound Technology (13 citations). Javier Cortés-Ramírez has collaborated with scholars based in Australia, Colombia and United Kingdom. Frequent co-authors include J.E. Rod, Óscar Oviedo-Trespalacios, Peter D. Sly, Paul Jagals, Suchithra Naish, Darren Wraith, Melissa Haswell, Hilary Bambrick, Dwan Vilcins and Luke D. Knibbs. Their work appears in journals such as The Science of The Total Environment, International Journal of Environmental Research and Public Health, BMC Public Health, Heliyon and Critical Public Health.

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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