T. Soriano

26 total papers · 704 total citations
26 papers, 541 citations indexed

About

T. Soriano is a scholar working on Plant Science, Toxicology and Soil Science. According to data from OpenAlex, T. Soriano has authored 26 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 4 papers in Toxicology and 3 papers in Soil Science. Recurrent topics in T. Soriano's work include Greenhouse Technology and Climate Control (14 papers), Light effects on plants (7 papers) and Forensic Toxicology and Drug Analysis (4 papers). T. Soriano is often cited by papers focused on Greenhouse Technology and Climate Control (14 papers), Light effects on plants (7 papers) and Forensic Toxicology and Drug Analysis (4 papers). T. Soriano collaborates with scholars based in Spain. T. Soriano's co-authors include C. Jurado, Manuel Menéndez‐González, N. Castilla, M. Repetto, Mercedes Romero-Gámez, M.C. Sánchez-Guerrero, E. Medrano, Assumpció Antón, Elisa M. Suárez-Rey and María Menéndez and has published in prestigious journals such as Journal of Cleaner Production, Agricultural and Forest Meteorology and Forensic Science International.

In The Last Decade

T. Soriano

26 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
T. Soriano	219	180	78	68	65	26	541
Elissandro Soares Emídio	34 0.2×	70 0.4×	85 1.1×	35 0.5×	15 0.2×	22	512
Fabiana Russo	264 1.2×	106 0.6×	21 0.3×	7 0.1×	42 0.6×	24	602
Cláudia Margalho	36 0.2×	171 0.9×	109 1.4×	4 0.1×	31 0.5×	26	472
Stuart Belli	33 0.2×	45 0.3×	26 0.3×	21 0.3×	16 0.2×	29	563
Guillaume Salquèbre	89 0.4×	128 0.7×	54 0.7×		82 1.3×	20	573
Guichen Chen	188 0.9×	48 0.3×	45 0.6×	16 0.2×	5 0.1×	47	534
Yong‐Ming Luo	166 0.8×	50 0.3×	31 0.4×	38 0.6×	9 0.1×	41	578
P Bavazzano	38 0.2×	33 0.2×	40 0.5×	3 0.0×	14 0.2×	39	580
María Laura Colombo	190 0.9×	20 0.1×	24 0.3×	5 0.1×	16 0.2×	48	600
Shijun Lu	70 0.3×	24 0.1×	27 0.3×	4 0.1×	10 0.2×	18	456

Countries citing papers authored by T. Soriano

Since Specialization

Citations

This map shows the geographic impact of T. Soriano'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 T. Soriano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Soriano more than expected).

Fields of papers citing papers by T. Soriano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Soriano

This figure shows the co-authorship network connecting the top 25 collaborators of T. Soriano. A scholar is included among the top collaborators of T. Soriano 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 T. Soriano. T. Soriano 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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