Ernesto Ortiz

1.2k total citations
39 papers, 714 citations indexed

About

Ernesto Ortiz is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ernesto Ortiz has authored 39 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 9 papers in Epidemiology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ernesto Ortiz's work include Mercury impact and mitigation studies (14 papers), Heavy Metal Exposure and Toxicity (11 papers) and Influenza Virus Research Studies (5 papers). Ernesto Ortiz is often cited by papers focused on Mercury impact and mitigation studies (14 papers), Heavy Metal Exposure and Toxicity (11 papers) and Influenza Virus Research Studies (5 papers). Ernesto Ortiz collaborates with scholars based in United States, Peru and United Kingdom. Ernesto Ortiz's co-authors include William Pan, Axel Berky, Heileen Hsu‐Kim, Beth J. Feingold, Juan A. Bisset, Gregory C. Gray, Janet Hemingway, Ghazi Kayali, Margaret L. Chorazy and John A. Gallis and has published in prestigious journals such as Environmental Science & Technology, Environmental Health Perspectives and International Journal of Environmental Research and Public Health.

In The Last Decade

Ernesto Ortiz

38 papers receiving 692 citations

Peers

Ernesto Ortiz
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 287
  • Epidemiology 130
  • Public Health, Environmental and Occupational Health 120
  • Building and Construction 114
  • Infectious Diseases 94
Replace Szu‐Chieh Chen with:
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Emily Viau United States
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Zheng Cao China
Irena Szadkowska‐Stańczyk Poland
Joshua W. Schaeffer United States
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Szu‐Chieh Chen Taiwan View profile →
Citations per field, relative to Ernesto Ortiz
Ernesto Ortiz · 1×
Citations per year, relative to Ernesto Ortiz
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Countries citing papers authored by Ernesto Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Ernesto Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernesto Ortiz

This figure shows the co-authorship network connecting the top 25 collaborators of Ernesto Ortiz. A scholar is included among the top collaborators of Ernesto Ortiz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ernesto Ortiz. Ernesto Ortiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 5
4 4
5 7
6 3
7 2
8 8
9 13
10 1
11 16
12 6
13
Distributed hydrological models: comparison between TOPKAPI, a physically based model and TETIS, a conceptually based model
2
14 4
15 68
16 15
17 2
18 27
19 34
20
[Serum proteins. Study in mothers and newborn infants at high altitude].
1

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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