Mariana P.C. Ribeiro

36 total papers · 890 total citations
29 papers, 629 citations indexed

About

Mariana P.C. Ribeiro is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mariana P.C. Ribeiro has authored 29 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Genetics. Recurrent topics in Mariana P.C. Ribeiro's work include Cancer-related Molecular Pathways (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Estrogen and related hormone effects (5 papers). Mariana P.C. Ribeiro is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Estrogen and related hormone effects (5 papers). Mariana P.C. Ribeiro collaborates with scholars based in Spain, Portugal and United States. Mariana P.C. Ribeiro's co-authors include José B.A. Custódio, Armanda E. Santos, Josep Clotet, Mohit Kumar Jolly, Gayathri R. Devi, Herbert Levine, Larisa Gearhart-Serna, Eshel Ben‐Jacob, Marcelo Boareto and Federico Bocci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mariana P.C. Ribeiro

28 papers receiving 620 citations

Author Peers

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

Author						Papers	Cites
Mariana P.C. Ribeiro	301	238	126	74	72	29	629
Le Cheng	298 1.0×	129 0.5×	113 0.9×	73 1.0×	65 0.9×	34	587
Ping Guo	419 1.4×	179 0.8×	180 1.4×	58 0.8×	45 0.6×	23	690
Françoise Fauvel-Lafève	345 1.1×	151 0.6×	157 1.2×	64 0.9×	65 0.9×	23	708
Anthony L. Sinn	371 1.2×	223 0.9×	123 1.0×	60 0.8×	54 0.8×	35	692
Rae-Kwon Kim	402 1.3×	228 1.0×	159 1.3×	73 1.0×	50 0.7×	23	727
Jin Gao	346 1.1×	221 0.9×	107 0.8×	58 0.8×	46 0.6×	39	691
Alessandro Colapietro	368 1.2×	262 1.1×	116 0.9×	120 1.6×	49 0.7×	34	727
Amal Shervington	365 1.2×	174 0.7×	113 0.9×	108 1.5×	41 0.6×	34	611
Andrea Bandino	365 1.2×	208 0.9×	198 1.6×	52 0.7×	39 0.5×	16	727
Andrea Comba	304 1.0×	159 0.7×	151 1.2×	155 2.1×	62 0.9×	42	705

Countries citing papers authored by Mariana P.C. Ribeiro

Since Specialization

Citations

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

Fields of papers citing papers by Mariana P.C. Ribeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana P.C. Ribeiro. 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 Mariana P.C. Ribeiro. The network helps show where Mariana P.C. Ribeiro may publish in the future.

Co-authorship network of co-authors of Mariana P.C. Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana P.C. Ribeiro. A scholar is included among the top collaborators of Mariana P.C. Ribeiro 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 Mariana P.C. Ribeiro. Mariana P.C. Ribeiro 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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