Carlos Rial

48 total papers · 818 total citations
41 papers, 625 citations indexed

About

Carlos Rial is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Carlos Rial has authored 41 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 10 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Carlos Rial's work include Allelopathy and phytotoxic interactions (19 papers), Plant Parasitism and Resistance (15 papers) and Sesquiterpenes and Asteraceae Studies (9 papers). Carlos Rial is often cited by papers focused on Allelopathy and phytotoxic interactions (19 papers), Plant Parasitism and Resistance (15 papers) and Sesquiterpenes and Asteraceae Studies (9 papers). Carlos Rial collaborates with scholars based in Spain, Italy and Portugal. Carlos Rial's co-authors include Rosa M. Varela, Francisco A. Macı́as, José M. G. Molinillo, Juan A. López‐Ráez, Jesús G. Zorrilla, Giovanni Mauromicale, Aurelio Scavo, Paula Novaes, Marı́a J. Pozo and Pablo Cornejo and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Experimental Botany and Molecules.

In The Last Decade

Carlos Rial

41 papers receiving 609 citations

Author Peers

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

Author						Papers	Cites
Carlos Rial	512	152	106	53	43	41	625
Shu Wang	365 0.7×	345 2.3×	57 0.5×	50 0.9×	61 1.4×	39	727
Marie-Louise Bouillant	459 0.9×	324 2.1×	112 1.1×	38 0.7×	48 1.1×	23	709
Ingrid Ramírez	446 0.9×	229 1.5×	51 0.5×	31 0.6×	11 0.3×	35	646
Alicja M. Zobel	415 0.8×	231 1.5×	97 0.9×	61 1.2×	37 0.9×	43	646
Yougen Wu	321 0.6×	469 3.1×	57 0.5×	21 0.4×	41 1.0×	55	748
Fang Miao	361 0.7×	251 1.7×	115 1.1×	42 0.8×	203 4.7×	28	768
Rajasekaran Raghu	266 0.5×	247 1.6×	46 0.4×	26 0.5×	18 0.4×	37	557
Basil A. Burke	388 0.8×	239 1.6×	68 0.6×	32 0.6×	159 3.7×	35	777
Jingjing Fang	315 0.6×	252 1.7×	36 0.3×	15 0.3×	43 1.0×	33	563
Manfred Focke	398 0.8×	501 3.3×	62 0.6×	29 0.5×	22 0.5×	25	789

Countries citing papers authored by Carlos Rial

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Rial

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Rial

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