Mati Lopez‐Grancha

19 total papers · 585 total citations
11 papers, 328 citations indexed

About

Mati Lopez‐Grancha is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mati Lopez‐Grancha has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mati Lopez‐Grancha's work include Neuroscience and Neuropharmacology Research (4 papers), Electrolyte and hormonal disorders (3 papers) and Pesticide Exposure and Toxicity (3 papers). Mati Lopez‐Grancha is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Electrolyte and hormonal disorders (3 papers) and Pesticide Exposure and Toxicity (3 papers). Mati Lopez‐Grancha collaborates with scholars based in Spain, France and United States. Mati Lopez‐Grancha's co-authors include Pilar Flores, Ginesa López‐Crespo, Philippe Pichat, Guy Griebel, Jeanne Stemmelin, Maria del Carmen Sanchez-Amate, Franck Slowinski, Fernando Sánchez-Santed, Sandra Beeské and Francisco Nieto-Escámez and has published in prestigious journals such as Scientific Reports, Psychopharmacology and Toxicological Sciences.

In The Last Decade

Mati Lopez‐Grancha

11 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Mati Lopez‐Grancha	111	111	97	60	46	11	328
Parker Knight	81 0.7×	104 0.9×	56 0.6×	49 0.8×	60 1.3×	9	292
Emil Trofimiuk	91 0.8×	49 0.4×	45 0.5×	37 0.6×	52 1.1×	20	334
M. F. Wilkinson	47 0.4×	113 1.0×	36 0.4×	60 1.0×	54 1.2×	9	348
Kazufumi Hirano	137 1.2×	178 1.6×	55 0.6×	35 0.6×	21 0.5×	14	363
Miao‐Jin Ji	103 0.9×	72 0.6×	34 0.4×	16 0.3×	94 2.0×	13	360
Sadie E. Nennig	99 0.9×	133 1.2×	23 0.2×	25 0.4×	37 0.8×	12	348
Yanfang Peng	107 1.0×	111 1.0×	20 0.2×	19 0.3×	51 1.1×	12	346
Elżbieta Rębas	79 0.7×	47 0.4×	24 0.2×	80 1.3×	32 0.7×	25	326
Amy DiCamillo	123 1.1×	157 1.4×	58 0.6×	29 0.5×	61 1.3×	10	348
Douglas Senna Engelke	73 0.7×	110 1.0×	57 0.6×	55 0.9×	35 0.8×	13	332

Countries citing papers authored by Mati Lopez‐Grancha

Since Specialization

Citations

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

Fields of papers citing papers by Mati Lopez‐Grancha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mati Lopez‐Grancha. 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 Mati Lopez‐Grancha. The network helps show where Mati Lopez‐Grancha may publish in the future.

Co-authorship network of co-authors of Mati Lopez‐Grancha

This figure shows the co-authorship network connecting the top 25 collaborators of Mati Lopez‐Grancha. A scholar is included among the top collaborators of Mati Lopez‐Grancha 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 Mati Lopez‐Grancha. Mati Lopez‐Grancha 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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