Sara Quiligotti

25 total papers · 461 total citations
13 papers, 346 citations indexed

About

Sara Quiligotti is a scholar working on Biomaterials, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Sara Quiligotti has authored 13 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomaterials, 5 papers in Biomedical Engineering and 4 papers in Fluid Flow and Transfer Processes. Recurrent topics in Sara Quiligotti's work include Elasticity and Material Modeling (5 papers), Rheology and Fluid Dynamics Studies (4 papers) and Calcium Carbonate Crystallization and Inhibition (4 papers). Sara Quiligotti is often cited by papers focused on Elasticity and Material Modeling (5 papers), Rheology and Fluid Dynamics Studies (4 papers) and Calcium Carbonate Crystallization and Inhibition (4 papers). Sara Quiligotti collaborates with scholars based in France, Italy and United States. Sara Quiligotti's co-authors include Antonıo DiCarlo, Francesco dell’Isola, Gérard A. Maugin, Loïc Favergeon, Laetitia Vieille, Howard A. Stone, Benoît Scheid, Salah Naı̈li, René Gy and Binh Thang Tran and has published in prestigious journals such as Journal of Fluid Mechanics, The Journal of Physical Chemistry C and Industrial & Engineering Chemistry Research.

In The Last Decade

Sara Quiligotti

13 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
Sara Quiligotti	193	111	91	78	53	13	346
Harish Narayanan	202 1.0×	139 1.3×	49 0.5×	30 0.4×	41 0.8×	14	367
Kshitiz Upadhyay	184 1.0×	24 0.2×	50 0.5×	45 0.6×	50 0.9×	17	296
Matteo Taffetani	139 0.7×	30 0.3×	77 0.8×	22 0.3×	112 2.1×	18	309
Berkin Dortdivanlioglu	109 0.6×	42 0.4×	82 0.9×	32 0.4×	118 2.2×	22	302
Anupam Pandey	115 0.6×	13 0.1×	79 0.9×	56 0.7×	86 1.6×	19	348
Russell F. Ross	73 0.4×	33 0.3×	74 0.8×	32 0.4×	34 0.6×	9	362
Shaun Sellers	89 0.5×	41 0.4×	60 0.7×	80 1.0×	130 2.5×	22	334
Mahsa Vahabi	118 0.6×	177 1.6×	13 0.1×	28 0.4×	34 0.6×	9	349
Jiwoon Kwon	129 0.7×	13 0.1×	67 0.7×	69 0.9×	69 1.3×	13	356
Benjamin Allen	160 0.8×	9 0.1×	102 1.1×	87 1.1×	91 1.7×	10	403

Countries citing papers authored by Sara Quiligotti

Since Specialization

Citations

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

Fields of papers citing papers by Sara Quiligotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Quiligotti

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