Luana Tortora

33 total papers · 848 total citations
17 papers, 695 citations indexed

About

Luana Tortora is a scholar working on Electronic, Optical and Magnetic Materials, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luana Tortora has authored 17 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electronic, Optical and Magnetic Materials, 7 papers in Organic Chemistry and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luana Tortora's work include Liquid Crystal Research Advancements (14 papers), Surfactants and Colloidal Systems (7 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Luana Tortora is often cited by papers focused on Liquid Crystal Research Advancements (14 papers), Surfactants and Colloidal Systems (7 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Luana Tortora collaborates with scholars based in United States, Italy and Japan. Luana Tortora's co-authors include Oleg D. Lavrentovich, Shin‐Woong Kang, Heung‐Shik Park, Satyendra Kumar, Yu. A. Nastishin, Daniele Finotello, Samuel Sprunt, V. G. Nazarenko, Bohdan Senyuk and J. T. Gleeson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Physical Chemistry B.

In The Last Decade

Luana Tortora

14 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Luana Tortora	544	228	196	158	145	17	695
Hajnalka Nádasi	683 1.3×	226 1.0×	289 1.5×	106 0.7×	160 1.1×	32	738
Rebecca J. Carlton	480 0.9×	102 0.4×	194 1.0×	128 0.8×	166 1.1×	11	726
Sathyanarayana Paladugu	565 1.0×	122 0.5×	172 0.9×	246 1.6×	118 0.8×	37	751
Maureen P. Neal	379 0.7×	185 0.8×	199 1.0×	146 0.9×	120 0.8×	30	730
Andrew J. Slaney	575 1.1×	294 1.3×	309 1.6×	93 0.6×	95 0.7×	25	649
Joonwoo Jeong	415 0.8×	105 0.5×	83 0.4×	210 1.3×	139 1.0×	32	789
Daniel Krüerke	645 1.2×	213 0.9×	275 1.4×	164 1.0×	185 1.3×	27	787
K. Hiltrop	482 0.9×	176 0.8×	205 1.0×	186 1.2×	107 0.7×	19	606
Claire Meyer	645 1.2×	158 0.7×	247 1.3×	212 1.3×	198 1.4×	36	727
Á. Vajda	683 1.3×	227 1.0×	327 1.7×	120 0.8×	134 0.9×	54	755

Countries citing papers authored by Luana Tortora

Since Specialization

Citations

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

Fields of papers citing papers by Luana Tortora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luana Tortora

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