Daniela Araiza‐Olivera

44 total papers · 471 total citations
24 papers, 340 citations indexed

About

Daniela Araiza‐Olivera is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Araiza‐Olivera has authored 24 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Oncology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Araiza‐Olivera's work include Fungal and yeast genetics research (4 papers), Mitochondrial Function and Pathology (4 papers) and Molecular Sensors and Ion Detection (3 papers). Daniela Araiza‐Olivera is often cited by papers focused on Fungal and yeast genetics research (4 papers), Mitochondrial Function and Pathology (4 papers) and Molecular Sensors and Ion Detection (3 papers). Daniela Araiza‐Olivera collaborates with scholars based in Mexico, United States and Russia. Daniela Araiza‐Olivera's co-authors include Jonathan Chernoff, Salvador Uribe‐Carvajal, Tatiana Y. Prudnikova, Antonio Peña, Adela Mújica, José G. Sampedro, Natalia Chiquete‐Félix, Jennifer Rhodes, Mónica Rosas‐Lemus and Galina Semenova and has published in prestigious journals such as Blood, Analytical Chemistry and Oncogene.

In The Last Decade

Daniela Araiza‐Olivera

23 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Daniela Araiza‐Olivera	242	94	66	25	19	24	340
Agnieszka Żuryń	224 0.9×	60 0.6×	40 0.6×	27 1.1×	24 1.3×	32	319
Shu Liu	177 0.7×	53 0.6×	86 1.3×	25 1.0×	16 0.8×	15	340
Amanda L. Bain	259 1.1×	92 1.0×	47 0.7×	43 1.7×	34 1.8×	19	377
Sitaram Harihar	212 0.9×	90 1.0×	35 0.5×	38 1.5×	12 0.6×	25	360
Dan Luo	232 1.0×	85 0.9×	21 0.3×	21 0.8×	23 1.2×	27	358
Shinyeong Ju	260 1.1×	110 1.2×	24 0.4×	32 1.3×	18 0.9×	29	366
Asif Amin	151 0.6×	84 0.9×	36 0.5×	34 1.4×	22 1.2×	35	318
Takeshi Wakasa	244 1.0×	108 1.1×	32 0.5×	36 1.4×	37 1.9×	19	367
S. Tanaka	155 0.6×	83 0.9×	87 1.3×	38 1.5×	19 1.0×	21	351
H Berbeć	155 0.6×	64 0.7×	41 0.6×	22 0.9×	22 1.2×	18	367

Countries citing papers authored by Daniela Araiza‐Olivera

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Araiza‐Olivera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Araiza‐Olivera. 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 Daniela Araiza‐Olivera. The network helps show where Daniela Araiza‐Olivera may publish in the future.

Co-authorship network of co-authors of Daniela Araiza‐Olivera

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Araiza‐Olivera. A scholar is included among the top collaborators of Daniela Araiza‐Olivera 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 Daniela Araiza‐Olivera. Daniela Araiza‐Olivera 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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