Selene Gómez-Acata

33 total papers · 952 total citations
27 papers, 718 citations indexed

About

Selene Gómez-Acata is a scholar working on Ecology, Molecular Biology and Plant Science. According to data from OpenAlex, Selene Gómez-Acata has authored 27 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 9 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Selene Gómez-Acata's work include Microbial Community Ecology and Physiology (15 papers), Soil Carbon and Nitrogen Dynamics (5 papers) and Gut microbiota and health (5 papers). Selene Gómez-Acata is often cited by papers focused on Microbial Community Ecology and Physiology (15 papers), Soil Carbon and Nitrogen Dynamics (5 papers) and Gut microbiota and health (5 papers). Selene Gómez-Acata collaborates with scholars based in Mexico, United States and Venezuela. Selene Gómez-Acata's co-authors include Luc Dendooven, Yendi E. Navarro‐Noya, Nina Montoya‐Ciriaco, Marco Luna‐Guido, César Valenzuela-Encinas, Nele Verhulst, Bram Govaerts, Luisa I. Falcón, Frédèric Thalasso and F. Fernández-Luqueño and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Selene Gómez-Acata

25 papers receiving 709 citations

Author Peers

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

Author						Papers	Cites
Selene Gómez-Acata	309	243	200	186	138	27	718
Hao Liao	358 1.2×	337 1.4×	181 0.9×	189 1.0×	147 1.1×	22	730
Erinne Stirling	444 1.4×	188 0.8×	253 1.3×	254 1.4×	134 1.0×	28	872
G. Catroux	342 1.1×	203 0.8×	255 1.3×	294 1.6×	176 1.3×	23	890
Michael Hemkemeyer	284 0.9×	318 1.3×	102 0.5×	206 1.1×	129 0.9×	18	662
C. B. Pandey	243 0.8×	196 0.8×	93 0.5×	169 0.9×	189 1.4×	26	793
Inês Nunes	279 0.9×	195 0.8×	209 1.0×	255 1.4×	101 0.7×	18	772
C.E. Heijnen	206 0.7×	178 0.7×	163 0.8×	355 1.9×	170 1.2×	18	748
Lucile Jocteur‐Monrozier	195 0.6×	198 0.8×	173 0.9×	115 0.6×	129 0.9×	18	622
Leandro D. Guerrero	309 1.0×	141 0.6×	187 0.9×	117 0.6×	177 1.3×	25	631
Ying Gao	354 1.1×	224 0.9×	160 0.8×	141 0.8×	123 0.9×	22	766

Countries citing papers authored by Selene Gómez-Acata

Since Specialization

Citations

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

Fields of papers citing papers by Selene Gómez-Acata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selene Gómez-Acata. 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 Selene Gómez-Acata. The network helps show where Selene Gómez-Acata may publish in the future.

Co-authorship network of co-authors of Selene Gómez-Acata

This figure shows the co-authorship network connecting the top 25 collaborators of Selene Gómez-Acata. A scholar is included among the top collaborators of Selene Gómez-Acata 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 Selene Gómez-Acata. Selene Gómez-Acata 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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