Irma Rosas‐Pérez

60 total papers · 841 total citations
35 papers, 663 citations indexed

About

Irma Rosas‐Pérez is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Automotive Engineering. According to data from OpenAlex, Irma Rosas‐Pérez has authored 35 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, Toxicology and Mutagenesis, 5 papers in Pollution and 4 papers in Automotive Engineering. Recurrent topics in Irma Rosas‐Pérez's work include Air Quality and Health Impacts (19 papers), Indoor Air Quality and Microbial Exposure (6 papers) and Atmospheric chemistry and aerosols (4 papers). Irma Rosas‐Pérez is often cited by papers focused on Air Quality and Health Impacts (19 papers), Indoor Air Quality and Microbial Exposure (6 papers) and Atmospheric chemistry and aerosols (4 papers). Irma Rosas‐Pérez collaborates with scholars based in Mexico, Canada and United States. Irma Rosas‐Pérez's co-authors include Álvaro Osornio-Vargas, Raúl Quintana-Belmares, Ernesto Alfaro‐Moreno, J. Miranda, Jesús Serrano-Lomelin, Andrea De Vizcaya‐Ruíz, Claudia M. García-Cuéllar, Marie S. O’Neill, Omar Amador-Muñóz and Brisa N. Sánchez and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Research.

In The Last Decade

Irma Rosas‐Pérez

34 papers receiving 651 citations

Author Peers

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

Author						Papers	Cites
Irma Rosas‐Pérez	396	128	97	72	58	35	663
Predrag Ilić	220 0.6×	87 0.7×	96 1.0×	78 1.1×	32 0.6×	77	660
Lesly Patricia Tejeda Benítez	272 0.7×	132 1.0×	61 0.6×	45 0.6×	21 0.4×	39	702
R L Maynard	412 1.0×	67 0.5×	111 1.1×	101 1.4×	42 0.7×	34	728
L. Negral	291 0.7×	156 1.2×	102 1.1×	111 1.5×	39 0.7×	33	633
Eleftheria Katsivela	384 1.0×	146 1.1×	123 1.3×	106 1.5×	34 0.6×	25	756
Ting Chen	397 1.0×	168 1.3×	74 0.8×	26 0.4×	31 0.5×	25	644
Can Zhang	437 1.1×	138 1.1×	111 1.1×	149 2.1×	39 0.7×	37	634
Xiaoqing Liu	379 1.0×	64 0.5×	109 1.1×	30 0.4×	44 0.8×	35	772
Fei He	303 0.8×	71 0.6×	120 1.2×	95 1.3×	24 0.4×	53	794
Hajime Nishimura	414 1.0×	162 1.3×	67 0.7×	22 0.3×	42 0.7×	34	686

Countries citing papers authored by Irma Rosas‐Pérez

Since Specialization

Citations

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

Fields of papers citing papers by Irma Rosas‐Pérez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irma Rosas‐Pérez. 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 Irma Rosas‐Pérez. The network helps show where Irma Rosas‐Pérez may publish in the future.

Co-authorship network of co-authors of Irma Rosas‐Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Irma Rosas‐Pérez. A scholar is included among the top collaborators of Irma Rosas‐Pérez 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 Irma Rosas‐Pérez. Irma Rosas‐Pérez 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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