Daniela E. Igartúa

37 total papers · 661 total citations
28 papers, 492 citations indexed

About

Daniela E. Igartúa is a scholar working on Molecular Biology, Polymers and Plastics and Food Science. According to data from OpenAlex, Daniela E. Igartúa has authored 28 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Polymers and Plastics and 8 papers in Food Science. Recurrent topics in Daniela E. Igartúa's work include Dendrimers and Hyperbranched Polymers (9 papers), Proteins in Food Systems (6 papers) and Polysaccharides Composition and Applications (5 papers). Daniela E. Igartúa is often cited by papers focused on Dendrimers and Hyperbranched Polymers (9 papers), Proteins in Food Systems (6 papers) and Polysaccharides Composition and Applications (5 papers). Daniela E. Igartúa collaborates with scholars based in Argentina, Brazil and Peru. Daniela E. Igartúa's co-authors include S. Alonso, María Jimena Prieto, Carolina Martínez, Darío M. Cabezas, Gonzalo G. Palazolo, Nadia S. Chiaramoni, María Natalia Calienni, Marina Pífano, Verónica Lassalle and Eneida de Paula and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Daniela E. Igartúa

27 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Daniela E. Igartúa	131	98	94	72	72	28	492
María Natalia Calienni	140 1.1×	40 0.4×	92 1.0×	35 0.5×	69 1.0×	24	433
Ana‐Maria Seciu‐Grama	65 0.5×	67 0.7×	78 0.8×	19 0.3×	132 1.8×	41	492
Mohammed Z. Nasrullah	108 0.8×	42 0.4×	55 0.6×	16 0.2×	101 1.4×	27	544
Chen Li	161 1.2×	117 1.2×	72 0.8×	22 0.3×	80 1.1×	50	529
Sabina Marciano	150 1.1×	119 1.2×	80 0.9×	19 0.3×	106 1.5×	11	539
Vasile Robert Grădinaru	91 0.7×	30 0.3×	35 0.4×	13 0.2×	58 0.8×	47	421
Yujiao Zu	112 0.9×	36 0.4×	33 0.4×	26 0.4×	80 1.1×	22	528
Marcelino Montiel‐Herrera	123 0.9×	58 0.6×	24 0.3×	24 0.3×	48 0.7×	25	443
Ahmed H. Hikal	140 1.1×	42 0.4×	58 0.6×	64 0.9×	26 0.4×	31	541
Rita Oliveira	142 1.1×	53 0.5×	30 0.3×	12 0.2×	41 0.6×	29	548

Countries citing papers authored by Daniela E. Igartúa

Since Specialization

Citations

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

Fields of papers citing papers by Daniela E. Igartúa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela E. Igartúa. 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 E. Igartúa. The network helps show where Daniela E. Igartúa may publish in the future.

Co-authorship network of co-authors of Daniela E. Igartúa

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