Marta Mancilla

24 total papers · 480 total citations
18 papers, 405 citations indexed

About

Marta Mancilla is a scholar working on Physiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marta Mancilla has authored 18 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marta Mancilla's work include Adenosine and Purinergic Signaling (13 papers), Coenzyme Q10 studies and effects (5 papers) and Enzyme function and inhibition (5 papers). Marta Mancilla is often cited by papers focused on Adenosine and Purinergic Signaling (13 papers), Coenzyme Q10 studies and effects (5 papers) and Enzyme function and inhibition (5 papers). Marta Mancilla collaborates with scholars based in Chile and Brazil. Marta Mancilla's co-authors include A.M. Kettlun, A. Traverso-Cori, M. Antonieta Valenzuela, Wanderley de Souza, Sérgio T. Ferreira, Sergio Verjovski‐Almeida, Eveline Gomes Vasconcelos, Manuel Valenzuela, Víctor Calvo and L. Chayet and has published in prestigious journals such as Journal of Biological Chemistry, Phytochemistry and The International Journal of Biochemistry & Cell Biology.

In The Last Decade

Marta Mancilla

18 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Marta Mancilla	265	178	71	51	46	18	405
M. Antonieta Valenzuela	144 0.5×	196 1.1×	41 0.6×	34 0.7×	38 0.8×	16	386
J. Frank Henderson	102 0.4×	328 1.8×	42 0.6×	28 0.5×	106 2.3×	9	369
Hayandra F. Nanini	151 0.6×	176 1.0×	7 0.1×	30 0.6×	40 0.9×	13	409
Gail S. Duncan	129 0.5×	245 1.4×	13 0.2×	40 0.8×	84 1.8×	13	374
Marcia Berrêdo‐Pinho	85 0.3×	146 0.8×	15 0.2×	15 0.3×	188 4.1×	16	413
Piyali Saha	61 0.2×	159 0.9×	17 0.2×	14 0.3×	55 1.2×	20	380
Aline Cristina Abreu Moreira-Souza	185 0.7×	132 0.7×	8 0.1×	10 0.2×	75 1.6×	14	377
Hanzhi Wang	59 0.2×	93 0.5×	41 0.6×	8 0.2×	167 3.6×	15	421
P. Boer	83 0.3×	365 2.1×	40 0.6×	15 0.3×	168 3.7×	35	413
Basma Guarmit	20 0.1×	224 1.3×	20 0.3×	34 0.7×	39 0.8×	19	473

Countries citing papers authored by Marta Mancilla

Since Specialization

Citations

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

Fields of papers citing papers by Marta Mancilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Mancilla

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