Salvatore Cito

56 total papers · 1.2k total citations
23 papers, 447 citations indexed

About

Salvatore Cito is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Computational Mechanics. According to data from OpenAlex, Salvatore Cito has authored 23 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Computational Mechanics. Recurrent topics in Salvatore Cito's work include Microfluidic and Capillary Electrophoresis Applications (7 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Salvatore Cito is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (7 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Salvatore Cito collaborates with scholars based in Spain, Finland and United States. Salvatore Cito's co-authors include Tiina Sikanen, Dongfei Liu, Hélder A. Santos, Chang‐Fang Wang, Yuezhou Zhang, Lina Badimón, Marco Mazzeo, Jordi Pallarès, Linas Mažutis and Mohammad‐Ali Shahbazi and has published in prestigious journals such as Advanced Materials, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Salvatore Cito

21 papers receiving 440 citations

Author Peers

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

Author						Papers	Cites
Salvatore Cito	253	79	75	74	53	23	447
Min Hwan Kim	130 0.5×	26 0.3×	70 0.9×	102 1.4×	9 0.2×	32	513
Joseph A. Chinn	108 0.4×	104 1.3×	28 0.4×	117 1.6×	7 0.1×	20	528
Sylvain Huille	143 0.6×	76 1.0×	16 0.2×	41 0.6×	14 0.3×	21	511
Jeonghun Lee	287 1.1×	31 0.4×	19 0.3×	99 1.3×	16 0.3×	20	468
Marjan Enayati	242 1.0×	33 0.4×	239 3.2×	308 4.2×	7 0.1×	19	552
Martin K. McDermott	140 0.6×	36 0.5×	46 0.6×	144 1.9×	4 0.1×	15	455
Stefan Scheler	226 0.9×	24 0.3×	34 0.5×	146 2.0×	4 0.1×	25	483
Ketie Saralidze	149 0.6×	33 0.4×	20 0.3×	135 1.8×	34 0.6×	14	449
Jin Lee	162 0.6×	27 0.3×	12 0.2×	177 2.4×	11 0.2×	24	522
Arlette Vega‐González	199 0.8×	12 0.2×	74 1.0×	75 1.0×	7 0.1×	20	533

Countries citing papers authored by Salvatore Cito

Since Specialization

Citations

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

Fields of papers citing papers by Salvatore Cito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Cito

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