Natalia Valero

10 total papers · 496 total citations
5 papers, 391 citations indexed

About

Natalia Valero is a scholar working on Health, Toxicology and Mutagenesis, Health and General Health Professions. According to data from OpenAlex, Natalia Valero has authored 5 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 1 paper in Health and 1 paper in General Health Professions. Recurrent topics in Natalia Valero's work include Air Quality and Health Impacts (3 papers), Climate Change and Health Impacts (2 papers) and Atmospheric chemistry and aerosols (1 paper). Natalia Valero is often cited by papers focused on Air Quality and Health Impacts (3 papers), Climate Change and Health Impacts (2 papers) and Atmospheric chemistry and aerosols (1 paper). Natalia Valero collaborates with scholars based in Spain, Denmark and United Kingdom. Natalia Valero's co-authors include Jordi Sunyer, Aurelio Tobı́as, Mar Viana, Jorge Pey, Xavier Querol, Laura Pérez, Andrés Alástuey, Nino Künzli, Alfonso Valenzuela and Cecilia Baginsky and has published in prestigious journals such as Environment International, Environmental Research and Epidemiology.

In The Last Decade

Natalia Valero

5 papers receiving 370 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Natalia Valero	277	155	103	79	48	5	391
Srinidhi Balasubramanian	179 0.6×	96 0.6×	62 0.6×	59 0.7×	31 0.6×	14	350
Tiana Carla Lopes Moreira	231 0.8×	73 0.5×	111 1.1×	77 1.0×	4 0.1×	12	414
Hassan Dehdari Rad	331 1.2×	115 0.7×	67 0.7×	121 1.5×	3 0.1×	10	417
Serena Sabia	235 0.8×	129 0.8×	59 0.6×	88 1.1×	17 0.4×	12	375
William Benjey	171 0.6×	121 0.8×	50 0.5×	70 0.9×	49 1.0×	11	380
Kyriaki A. Bairachtari	235 0.8×	147 0.9×	49 0.5×	103 1.3×	12 0.3×	15	399
Vignesh Prabhu	289 1.0×	147 0.9×	96 0.9×	147 1.9×	3 0.1×	17	366
Vijay Lulla	260 0.9×	28 0.2×	112 1.1×	207 2.6×	6 0.1×	13	445
M. Trail	235 0.8×	185 1.2×	159 1.5×	122 1.5×	2 0.0×	13	413
A. S. Shannigrahi	277 1.0×	261 1.7×	111 1.1×	47 0.6×	6 0.1×	9	430

Countries citing papers authored by Natalia Valero

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Valero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Valero

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Valero. A scholar is included among the top collaborators of Natalia Valero 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 Natalia Valero. Natalia Valero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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