Eva E. Álvarez-León

1.2k citations
25 papers · 830 · h-index 16

Impact in

Papers in

Eva E. Álvarez-León

23 papers receiving 803 citations

Peers

Eva E. Álvarez-León
Comparison fields: 5 of 103
  • Health, Toxicology and Mutagenesis 413
  • Cancer Research 158
  • Modeling and Simulation 27
  • Pollution 62
  • Infectious Diseases 53
Replace Michalis Koureas with:
Michalis Koureas Greece
Germain Lebel Canada
F. Broeckaert Belgium
Rong Tang China
Jaroslav Janošek Czechia
Ezra J. Mrema Tanzania
Agnieszka Kucharska Poland
Rajeev Mahajan United States
Peng Shi China
G Badolati Italy
Eva E. Álvarez-León relative to Michalis Koureas Greece Michalis Koureas's profile →
Citations per field
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Michalis Koureas · 1×
Citations per year

Countries citing papers authored by Eva E. Álvarez-León

Since Specialization
Citations

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

Fields of papers citing papers by Eva E. Álvarez-León

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva E. Álvarez-León. 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 Eva E. Álvarez-León. The network helps show where Eva E. Álvarez-León may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004133
2 202184
3 201281
4 201259
5 201454
6 200653
7 201452
8 201445
9 201043
10 200735
11 200931
12 200929
13 201229
14 200926
15 201518
16 201118
17 201012
18 201210
19 20109
20 20053

About Eva E. Álvarez-León

Eva E. Álvarez-León is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 830 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (8 papers), Carcinogens and Genotoxicity Assessment (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Tuberculosis Research and Epidemiology (2 papers), Digestive system and related health (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (413 citations), Cancer Research (158 citations), Modeling and Simulation (27 citations), Pollution (62 citations) and Infectious Diseases (53 citations). Eva E. Álvarez-León has collaborated with scholars based in Spain, Sweden and United Kingdom. Frequent co-authors include Octavio P. Luzardo, Luís D. Boada, Manuel Zumbado, Lluís Serra‐Majem, Luis Alberto Henríquez‐Hernández, Maira Almeida‐González, María Camacho, Patricio Navarro, Antonio Losada and Pedro C. Lara. Their work appears in journals such as Chemosphere, PLoS ONE, The Science of The Total Environment, Growth Hormone & IGF Research and Environmental Research.

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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