Nan Xiao

1.5k total citations
15 papers, 1.0k citations indexed

About

Nan Xiao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Computational Mechanics. According to data from OpenAlex, Nan Xiao has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Computational Mechanics. Recurrent topics in Nan Xiao's work include Cardiovascular Function and Risk Factors (6 papers), Cardiovascular Health and Disease Prevention (6 papers) and Coronary Interventions and Diagnostics (5 papers). Nan Xiao is often cited by papers focused on Cardiovascular Function and Risk Factors (6 papers), Cardiovascular Health and Disease Prevention (6 papers) and Coronary Interventions and Diagnostics (5 papers). Nan Xiao collaborates with scholars based in United States, United Kingdom and France. Nan Xiao's co-authors include C. Alberto Figueroa, Jordi Alastruey, Charles A. Taylor, Jay D. Humphrey, Philippe Moireau, Dominique Chapelle, Jean-Frédéric Gerbeau, Matteo Astorino, Tobias Schaeffter and Henry Fok and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Nan Xiao

15 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan Xiao United States	12	626	386	353	252	144	15	1.0k
Vijay Vedula United States	16	621 1.0×	180 0.5×	214 0.6×	250 1.0×	168 1.2×	34	976
Brooke N. Steele United States	9	359 0.6×	210 0.5×	291 0.8×	148 0.6×	129 0.9×	17	731
Gerhard Rappitsch Austria	12	560 0.9×	357 0.9×	706 2.0×	217 0.9×	242 1.7×	26	1.1k
Daniele E. Schiavazzi United States	15	269 0.4×	142 0.4×	203 0.6×	137 0.5×	109 0.8×	42	731
Adam Updegrove United States	6	258 0.4×	176 0.5×	224 0.6×	140 0.6×	68 0.5×	12	546
Tiziano Passerini United States	12	321 0.5×	116 0.3×	310 0.9×	168 0.7×	94 0.7×	30	739
Tain-Yen Hsia United Kingdom	15	320 0.5×	222 0.6×	307 0.9×	264 1.0×	139 1.0×	28	857
Michael Resch Germany	11	412 0.7×	306 0.8×	437 1.2×	156 0.6×	232 1.6×	34	998
Christopher P. Cheng United States	23	686 1.1×	870 2.3×	702 2.0×	184 0.7×	64 0.4×	77	1.6k
Radomír Chabiniok United Kingdom	15	644 1.0×	66 0.2×	204 0.6×	377 1.5×	90 0.6×	43	978

Countries citing papers authored by Nan Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Nan Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Xiao

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Sinclair, Matthew, et al.. (2024). Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

Taylor, Charles A., Kersten Petersen, Nan Xiao, et al.. (2023). Patient-specific modeling of blood flow in the coronary arteries. Computer Methods in Applied Mechanics and Engineering. 417. 116414–116414. 29 indexed citations

Xiao, Nan, et al.. (2021). Image-based blood flow estimation using a semi-analytical solution to the advection–diffusion equation in cylindrical domains. Journal of Fluid Mechanics. 924. 1 indexed citations

Arthurs, Christopher J., Nan Xiao, Philippe Moireau, Tobias Schaeffter, & C. Alberto Figueroa. (2020). A flexible framework for sequential estimation of model parameters in computational hemodynamics. Advanced Modeling and Simulation in Engineering Sciences. 7(1). 48–48. 18 indexed citations

Sankaran, Sethuraman, David Lesage, Nan Xiao, et al.. (2020). Physics driven real-time blood flow simulations. Computer Methods in Applied Mechanics and Engineering. 364. 112963–112963. 18 indexed citations

Cuomo, Federica, Sara Roccabianca, Desmond Dillon-Murphy, et al.. (2017). Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling. PLoS ONE. 12(3). e0173177–e0173177. 57 indexed citations

Alastruey, Jordi, Nan Xiao, Henry Fok, Tobias Schaeffter, & C. Alberto Figueroa. (2016). On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics. Journal of The Royal Society Interface. 13(119). 20160073–20160073. 101 indexed citations

Xiao, Nan, Jordi Alastruey, & C. Alberto Figueroa. (2013). A systematic comparison between 1‐D and 3‐D hemodynamics in compliant arterial models. International Journal for Numerical Methods in Biomedical Engineering. 30(2). 204–231. 235 indexed citations

Prasad, Anamika, et al.. (2012). A computational framework for investigating the positional stability of aortic endografts. Biomechanics and Modeling in Mechanobiology. 12(5). 869–887. 55 indexed citations

10.

Xiao, Nan, Jay D. Humphrey, & C. Alberto Figueroa. (2012). Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network. Journal of Computational Physics. 244. 22–40. 96 indexed citations

11.

Moireau, Philippe, Cristóbal Bertoglio, Nan Xiao, et al.. (2012). Sequential identification of boundary support parameters in a fluid-structure vascular model using patient image data. Biomechanics and Modeling in Mechanobiology. 12(3). 475–496. 60 indexed citations

12.

Moireau, Philippe, Nan Xiao, Matteo Astorino, et al.. (2011). External tissue support and fluid–structure simulation in blood flows. Biomechanics and Modeling in Mechanobiology. 11(1-2). 1–18. 183 indexed citations

13.

LaDisa, John F., C. Alberto Figueroa, Irène Vignon-Clémentel, et al.. (2011). Computational Simulations for Aortic Coarctation: Representative Results From a Sampling of Patients. Journal of Biomechanical Engineering. 133(9). 91008–91008. 108 indexed citations

14.

Xiong, Guanglei, C. Alberto Figueroa, Nan Xiao, & Charles A. Taylor. (2010). Simulation of blood flow in deformable vessels using subject-specific geometry and spatially varying wall properties. International Journal for Numerical Methods in Biomedical Engineering. 27(7). 1000–1016. 52 indexed citations

15.

Xiong, Guanglei, C. Alberto Figueroa, Nan Xiao, & Charles A. Taylor. (2009). Simulation of Blood Flow in Deformable Arteries Using Subject-Specific Geometry and Variable Vessel Wall Properties. 389–390. 1 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.

Explore authors with similar magnitude of impact