Laura Campo-Deaño

1.4k total citations
35 papers, 1.1k citations indexed

About

Laura Campo-Deaño is a scholar working on Fluid Flow and Transfer Processes, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Laura Campo-Deaño has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Fluid Flow and Transfer Processes, 14 papers in Pulmonary and Respiratory Medicine and 14 papers in Biomedical Engineering. Recurrent topics in Laura Campo-Deaño's work include Rheology and Fluid Dynamics Studies (16 papers), Blood properties and coagulation (14 papers) and Polysaccharides Composition and Applications (7 papers). Laura Campo-Deaño is often cited by papers focused on Rheology and Fluid Dynamics Studies (16 papers), Blood properties and coagulation (14 papers) and Polysaccharides Composition and Applications (7 papers). Laura Campo-Deaño collaborates with scholars based in Portugal, Spain and United Kingdom. Laura Campo-Deaño's co-authors include Clara A. Tovar, Francisco J. Galindo‐Rosales, F.T. Pinho, Christian Clasen, Mónica Oliveira, M.A. Alves, Javier Borderías, Dirk G. A. L. Aarts, Roel P. A. Dullens and Rui Lima and has published in prestigious journals such as SHILAP Revista de lepidopterología, Polymer and Carbohydrate Polymers.

In The Last Decade

Laura Campo-Deaño

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Campo-Deaño Portugal 17 341 333 266 246 179 35 1.1k
Colin Servais Switzerland 16 240 0.7× 385 1.2× 486 1.8× 172 0.7× 31 0.2× 22 1.6k
Jung Gun Nam South Korea 7 246 0.7× 876 2.6× 469 1.8× 123 0.5× 154 0.9× 10 1.6k
S. M. Goh Malaysia 18 176 0.5× 55 0.2× 269 1.0× 28 0.1× 34 0.2× 38 907
M. Keentok Australia 13 124 0.4× 397 1.2× 164 0.6× 140 0.6× 46 0.3× 17 784
Abhishek Shetty United States 15 381 1.1× 203 0.6× 104 0.4× 149 0.6× 48 0.3× 44 950
C.J. Schaschke United Kingdom 15 183 0.5× 100 0.3× 129 0.5× 34 0.1× 8 0.0× 30 619
Gary L. Leal United States 11 144 0.4× 263 0.8× 57 0.2× 140 0.6× 42 0.2× 238 705
José Paredes Netherlands 8 170 0.5× 315 0.9× 132 0.5× 146 0.6× 29 0.2× 8 668
M. Dinkgreve Netherlands 9 144 0.4× 309 0.9× 165 0.6× 108 0.4× 30 0.2× 9 653
Damien Vadillo United Kingdom 15 207 0.6× 137 0.4× 51 0.2× 600 2.4× 34 0.2× 26 1.0k

Countries citing papers authored by Laura Campo-Deaño

Since Specialization
Citations

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

Fields of papers citing papers by Laura Campo-Deaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Campo-Deaño. 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 Laura Campo-Deaño. The network helps show where Laura Campo-Deaño may publish in the future.

Co-authorship network of co-authors of Laura Campo-Deaño

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Campo-Deaño. A scholar is included among the top collaborators of Laura Campo-Deaño 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 Laura Campo-Deaño. Laura Campo-Deaño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Galindo‐Rosales, Francisco J., et al.. (2025). Effects of non-parallelism on standard and magnetorheological measurements. Physics of Fluids. 37(7).
2.
Franco, Inmaculada, et al.. (2023). Large amplitude oscillatory shear stress (LAOStress) analysis for an acid-curd Spanish cheese: Afuega'l Pitu atroncau blancu and roxu (PDO). Food Hydrocolloids. 142. 108720–108720. 11 indexed citations
3.
Campo-Deaño, Laura, et al.. (2023). On flow disturbances caused by pressure taps in highly elastic flows around a microfluidic cylinder. Physics of Fluids. 35(12). 1 indexed citations
4.
Montenegro, Manuel, Laura Campo-Deaño, & Francisco J. Galindo‐Rosales. (2023). Formulating, assessing and using shear thickening fluids for cork helmet liners. Composite Structures. 327. 117707–117707. 7 indexed citations
5.
Mota, Rita, et al.. (2023). Microrheological characterisation of Cyanoflan in human blood plasma. Carbohydrate Polymers. 326. 121575–121575. 1 indexed citations
7.
Galindo‐Rosales, Francisco J., et al.. (2021). Extensional Magnetorheology of Viscoelastic Human Blood Analogues Loaded with Magnetic Particles. Materials. 14(22). 6930–6930. 6 indexed citations
8.
Galindo‐Rosales, Francisco J., et al.. (2020). Critical overlap concentration and intrinsic viscosity data of xanthan gum aqueous solutions in dimethyl sulfoxide. SHILAP Revista de lepidopterología. 33. 106431–106431. 15 indexed citations
9.
Galindo‐Rosales, Francisco J., et al.. (2020). Haemodynamics around confined microscopic cylinders. Journal of Non-Newtonian Fluid Mechanics. 286. 104406–104406. 9 indexed citations
10.
Galindo‐Rosales, Francisco J., et al.. (2020). Rheological characterization of polymeric solutions used in spray drying process. European Journal of Pharmaceutical Sciences. 158. 105650–105650. 17 indexed citations
12.
Galindo‐Rosales, Francisco J., et al.. (2016). Complex flow dynamics around 3D microbot prototypes. Soft Matter. 12(8). 2334–2347. 9 indexed citations
14.
Campo-Deaño, Laura, Mónica Oliveira, & F.T. Pinho. (2014). A Review of Computational Hemodynamics in Middle Cerebral Aneurysms and Rheological Models for Blood Flow. Applied Mechanics Reviews. 67(3). 43 indexed citations
15.
Campo-Deaño, Laura, Roel P. A. Dullens, Dirk G. A. L. Aarts, F.T. Pinho, & Mónica Oliveira. (2013). Viscoelasticity of blood and viscoelastic blood analogues for use in polydymethylsiloxane in vitro models of the circulatory system. Biomicrofluidics. 7(3). 34102–34102. 113 indexed citations
16.
Schultz, Kelly M., Laura Campo-Deaño, Aaron D. Baldwin, et al.. (2012). Electrospinning covalently cross-linking biocompatible hydrogelators. Polymer. 54(1). 363–371. 12 indexed citations
17.
Campo-Deaño, Laura, Francisco J. Galindo‐Rosales, F.T. Pinho, M.A. Alves, & Mónica Oliveira. (2012). Nanogel formation of polymer solutions flowing through porous media. Soft Matter. 8(24). 6445–6445. 19 indexed citations
18.
Campo-Deaño, Laura, Francisco J. Galindo‐Rosales, F.T. Pinho, M.A. Alves, & Mónica Oliveira. (2011). Flow of low viscosity Boger fluids through a microfluidic hyperbolic contraction. Journal of Non-Newtonian Fluid Mechanics. 166(21-22). 1286–1296. 70 indexed citations
19.
Campo-Deaño, Laura & Christian Clasen. (2010). The slow retraction method (SRM) for the determination of ultra-short relaxation times in capillary breakup extensional rheometry experiments. Journal of Non-Newtonian Fluid Mechanics. 165(23-24). 1688–1699. 149 indexed citations
20.
Campo-Deaño, Laura & Clara A. Tovar. (2009). The effect of egg albumen on the viscoelasticity of crab sticks made from Alaska Pollock and Pacific Whiting surimi. Food Hydrocolloids. 23(7). 1641–1646. 73 indexed citations

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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